Research question(s)
Which NBA player positions have the highest/best individual, offensive statistics (points per game, assists per game, offensive rebounds per game, field goal percentage)? Which NBA player position is the most impactful based on the highest cumulative average of the offensive statistics combined?
Data collection and cleaning
Have an initial draft of your data cleaning appendix. Document every step that takes your raw data file(s) and turns it into the analysis-ready data set that you would submit with your final project. Include text narrative describing your data collection (downloading, scraping, surveys, etc) and any additional data curation/cleaning (merging data frames, filtering, transformations of variables, etc). Include code for data curation/cleaning, but not collection.
When collecting this data, first we went to basketball-reference.com in order to find data on NBA players and seasons(link: https://www.basketball-reference.com/leagues/NBA_2021_per_game.html). Next, after deciding to focus on the players’ stats from the 2020-2021 season, we converted the relevant data into table and downloaded it as a csv file (nba2021stats.csv). Then we were able to read this data into a dataframe on R.
In order to clean the data first we removed the first row which was a blank row full of n/a values for every column. We also removed the last column, Player.additional which gave each player a unique code to identify them. We removed this variable because it was redundant as the data set already has an identity variable, player. Next we removed redundant variables that had other variables that were percentages for the variables in question. For instance, since the original dataset has variables for field goals made, field goals attempted, and field goal percentage, we removed the first two variables as we would only need the percentage variable. Finally, we renamed variables that were percentages so that they’re easier to understand, such as fg%, 3p%, ft%, 2p%, and efg%.
── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
✔ ggplot2 3.4.2 ✔ purrr 1.0.0
✔ tibble 3.2.1 ✔ dplyr 1.0.10
✔ tidyr 1.2.1 ✔ stringr 1.5.0
✔ readr 2.1.3 ✔ forcats 0.5.2
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
library (dplyr)<- read.csv ("data/nba2021stats.csv" )<- nba[- 1 , - c (8 : 9 , 11 : 12 , 14 : 15 , 18 : 19 , 30 )] |> rename ( "threep_pct" = X3P., "fg_pct" = FG., "ft_pct" = FT., "twop_pct" = X2P., "efg_pct" = eFG.) |> filter (! grepl ('-' , Pos))
Player Pos Age Tm G GS MP fg_pct threep_pct twop_pct
1 Precious Achiuwa PF 21 MIA 61 4 12.1 0.544 0.000 0.546
2 Jaylen Adams PG 24 MIL 7 0 2.6 0.125 0.000 0.167
3 Steven Adams C 27 NOP 58 58 27.7 0.614 0.000 0.620
4 Bam Adebayo C 23 MIA 64 64 33.5 0.570 0.250 0.573
5 LaMarcus Aldridge C 35 TOT 26 23 25.9 0.473 0.388 0.505
6 LaMarcus Aldridge C 35 SAS 21 18 25.9 0.464 0.360 0.509
7 LaMarcus Aldridge C 35 BRK 5 5 26.0 0.521 0.800 0.488
8 Ty-Shon Alexander SG 22 PHO 15 0 3.1 0.250 0.222 0.333
9 Nickeil Alexander-Walker SG 22 NOP 46 13 21.9 0.419 0.347 0.485
10 Grayson Allen SG 25 MEM 50 38 25.2 0.418 0.391 0.471
11 Jarrett Allen C 22 TOT 63 45 29.6 0.618 0.316 0.631
12 Jarrett Allen C 22 BRK 12 5 26.7 0.677 NA 0.677
13 Jarrett Allen C 22 CLE 51 40 30.3 0.609 0.316 0.623
14 Al-Farouq Aminu PF 30 TOT 23 14 18.9 0.384 0.216 0.484
15 Al-Farouq Aminu PF 30 ORL 17 14 21.6 0.404 0.226 0.500
16 Al-Farouq Aminu PF 30 CHI 6 0 11.2 0.200 0.167 0.250
17 Kyle Anderson PF 27 MEM 69 69 27.3 0.468 0.360 0.539
18 Giannis Antetokounmpo PF 26 MIL 61 61 33.0 0.569 0.303 0.636
19 Kostas Antetokounmpo PF 23 LAL 15 0 3.7 0.300 NA 0.300
20 Thanasis Antetokounmpo SF 28 MIL 57 3 9.7 0.489 0.241 0.556
21 Carmelo Anthony PF 36 POR 69 3 24.5 0.421 0.409 0.429
22 Cole Anthony PG 20 ORL 47 34 27.1 0.397 0.337 0.424
23 OG Anunoby SF 23 TOR 43 43 33.3 0.480 0.398 0.562
24 Ryan Arcidiacono PG 26 CHI 44 0 10.2 0.419 0.373 0.480
25 Trevor Ariza SF 35 MIA 30 27 28.0 0.411 0.350 0.500
26 D.J. Augustin PG 33 TOT 57 12 19.8 0.394 0.382 0.413
27 D.J. Augustin PG 33 MIL 37 6 19.3 0.370 0.380 0.349
28 D.J. Augustin PG 33 HOU 20 6 20.8 0.424 0.386 0.476
29 Deni Avdija SF 20 WAS 54 32 23.3 0.417 0.315 0.535
30 Deandre Ayton C 22 PHO 69 69 30.7 0.626 0.200 0.639
31 Udoka Azubuike C 21 UTA 15 0 3.8 0.444 NA 0.444
32 Dwayne Bacon SG 25 ORL 72 50 25.7 0.402 0.285 0.449
33 Marvin Bagley III PF 21 SAC 43 42 25.9 0.504 0.343 0.550
34 LaMelo Ball PG 19 CHO 51 31 28.8 0.436 0.352 0.489
35 Lonzo Ball PG 23 NOP 55 55 31.8 0.414 0.378 0.482
36 Mo Bamba C 22 ORL 46 5 15.8 0.472 0.322 0.568
37 Desmond Bane SG 22 MEM 68 17 22.3 0.469 0.432 0.513
38 Harrison Barnes PF 28 SAC 58 58 36.2 0.497 0.391 0.567
39 RJ Barrett SG 20 NYK 72 72 34.9 0.441 0.401 0.457
40 Will Barton SF 30 DEN 56 52 31.0 0.426 0.381 0.459
41 Keita Bates-Diop SF 25 SAS 30 0 8.2 0.448 0.294 0.500
42 Nicolas Batum SF 32 LAC 67 38 27.4 0.464 0.404 0.579
43 Aron Baynes C 34 TOR 53 31 18.5 0.441 0.262 0.532
44 Kent Bazemore SF 31 GSW 67 18 19.9 0.449 0.408 0.486
45 Darius Bazley PF 20 OKC 55 55 31.2 0.396 0.290 0.470
46 Bradley Beal SG 27 WAS 60 60 35.8 0.485 0.349 0.535
47 Malik Beasley SG 24 MIN 37 36 32.8 0.440 0.399 0.487
48 Jordan Bell C 26 TOT 6 1 13.7 0.318 0.000 0.350
49 Jordan Bell C 26 WAS 5 1 13.4 0.350 0.000 0.389
50 Jordan Bell C 26 GSW 1 0 15.0 0.000 NA 0.000
51 DeAndre' Bembry SF 26 TOR 51 12 19.1 0.513 0.264 0.589
52 Dāvis Bertāns PF 28 WAS 57 7 25.7 0.404 0.395 0.480
53 Patrick Beverley PG 32 LAC 37 34 22.5 0.423 0.397 0.468
54 Saddiq Bey SF 21 DET 70 53 27.3 0.404 0.380 0.450
55 Tyler Bey SF 22 DAL 18 0 3.9 0.318 0.250 0.333
56 Khem Birch C 28 TOT 67 22 22.8 0.497 0.250 0.537
57 Khem Birch C 28 ORL 48 5 19.8 0.450 0.190 0.479
58 Khem Birch C 28 TOR 19 17 30.4 0.556 0.290 0.614
59 Goga Bitadze C 21 IND 45 3 12.5 0.428 0.253 0.548
60 Bismack Biyombo C 28 CHO 66 36 20.4 0.587 0.000 0.589
61 Nemanja Bjelica PF 32 TOT 37 3 16.1 0.454 0.318 0.559
62 Nemanja Bjelica PF 32 SAC 26 1 16.9 0.460 0.293 0.565
63 Nemanja Bjelica PF 32 MIA 11 2 14.2 0.435 0.370 0.526
64 Eric Bledsoe SG 31 NOP 71 70 29.7 0.421 0.341 0.496
65 Keljin Blevins SF 25 POR 17 0 4.4 0.250 0.250 0.250
66 Bogdan Bogdanović SG 28 ATL 44 27 29.7 0.473 0.438 0.522
67 Bojan Bogdanović SF 31 UTA 72 72 30.8 0.439 0.390 0.487
68 Bol Bol PF 21 DEN 32 2 5.0 0.431 0.375 0.471
69 Marques Bolden C 22 CLE 6 0 4.8 0.333 NA 0.333
70 Jordan Bone PG 23 ORL 14 0 14.0 0.426 0.313 0.591
71 Isaac Bonga SF 21 WAS 40 8 10.8 0.370 0.277 0.500
72 Devin Booker SG 24 PHO 67 67 33.9 0.484 0.340 0.543
73 Chris Boucher C 28 TOR 60 14 24.2 0.514 0.383 0.609
74 Brian Bowen SF 22 IND 6 0 2.5 0.250 0.000 0.333
75 Avery Bradley SG 30 TOT 27 6 22.3 0.374 0.327 0.443
76 Avery Bradley SG 30 MIA 10 1 21.1 0.470 0.421 0.536
77 Avery Bradley SG 30 HOU 17 5 23.0 0.314 0.270 0.381
78 Tony Bradley C 23 TOT 42 8 16.3 0.665 0.000 0.675
79 Tony Bradley C 23 PHI 20 8 14.4 0.680 0.000 0.689
80 Tony Bradley C 23 OKC 22 0 18.0 0.656 0.000 0.667
81 Jarrell Brantley PF 24 UTA 28 0 4.9 0.481 0.429 0.542
82 Ignas Brazdeikis SF 22 TOT 13 0 19.2 0.422 0.393 0.436
83 Ignas Brazdeikis SF 22 NYK 4 0 1.8 0.000 NA 0.000
84 Ignas Brazdeikis SF 22 PHI 1 0 8.0 0.000 0.000 0.000
85 Ignas Brazdeikis SF 22 ORL 8 0 29.3 0.443 0.407 0.462
86 Mikal Bridges SF 24 PHO 72 72 32.6 0.543 0.425 0.647
87 Miles Bridges PF 22 CHO 66 19 29.3 0.503 0.400 0.593
88 Amida Brimah C 26 IND 5 0 5.8 0.625 NA 0.625
89 Oshae Brissett SF 22 IND 21 16 24.7 0.483 0.423 0.548
90 Malcolm Brogdon PG 28 IND 56 56 34.5 0.453 0.388 0.493
91 Armoni Brooks SG 22 HOU 20 5 26.0 0.406 0.382 0.514
92 Dillon Brooks SF 25 MEM 67 67 29.8 0.419 0.344 0.461
93 Bruce Brown PG 24 BRK 65 37 22.3 0.556 0.288 0.599
94 Charlie Brown Jr. SG 23 OKC 9 1 16.9 0.302 0.238 0.364
95 Jaylen Brown SG 24 BOS 58 58 34.5 0.484 0.397 0.536
96 Moses Brown C 21 OKC 43 32 21.4 0.545 NA 0.545
97 Sterling Brown SG 25 HOU 51 14 24.1 0.448 0.423 0.492
98 Troy Brown Jr. SF 21 TOT 34 0 15.4 0.431 0.314 0.541
99 Troy Brown Jr. SF 21 WAS 21 0 13.7 0.371 0.304 0.442
100 Troy Brown Jr. SF 21 CHI 13 0 18.2 0.527 0.333 0.677
101 Jalen Brunson PG 24 DAL 68 12 25.0 0.523 0.405 0.578
102 Elijah Bryant SG 25 MIL 1 0 32.0 0.462 0.200 0.625
103 Thomas Bryant C 23 WAS 10 10 27.1 0.648 0.429 0.714
104 Reggie Bullock SF 29 NYK 65 64 30.0 0.442 0.410 0.521
105 Trey Burke PG 28 DAL 62 1 14.7 0.428 0.354 0.492
106 Alec Burks SG 29 NYK 49 5 25.6 0.420 0.415 0.425
107 Jimmy Butler SF 31 MIA 52 52 33.6 0.497 0.245 0.538
108 Bruno Caboclo PF 25 HOU 6 0 6.0 0.471 0.000 0.667
109 Devontae Cacok PF 24 LAL 20 1 4.9 0.586 NA 0.586
110 Kentavious Caldwell-Pope SG 27 LAL 67 67 28.4 0.431 0.410 0.460
111 Facundo Campazzo PG 29 DEN 65 19 21.9 0.381 0.352 0.444
112 Vlatko Čančar PF 23 DEN 41 1 6.9 0.458 0.273 0.615
113 Devin Cannady PG 24 ORL 8 0 9.3 0.393 0.375 0.417
114 Clint Capela C 26 ATL 63 63 30.1 0.594 NA 0.594
115 Vernon Carey Jr. C 19 CHO 19 4 6.1 0.500 0.143 0.586
116 Jevon Carter PG 25 PHO 60 1 12.0 0.422 0.371 0.528
117 Wendell Carter Jr. C 21 TOT 54 44 25.5 0.503 0.294 0.530
118 Wendell Carter Jr. C 21 CHI 32 25 24.8 0.512 0.364 0.526
119 Wendell Carter Jr. C 21 ORL 22 19 26.5 0.493 0.241 0.534
120 Michael Carter-Williams SG 29 ORL 31 25 25.8 0.389 0.246 0.431
121 Alex Caruso PG 26 LAL 58 6 21.0 0.436 0.401 0.464
122 Willie Cauley-Stein C 27 DAL 53 16 17.1 0.632 0.091 0.667
123 Chris Chiozza PG 25 BRK 22 1 10.5 0.352 0.310 0.391
124 Marquese Chriss PF 23 GSW 2 0 13.5 0.357 0.200 0.444
125 Gary Clark SF 26 ORL 35 11 18.2 0.305 0.287 0.391
126 Gary Clark SF 26 DEN 2 0 2.0 NA NA NA
127 Gary Clark PF 26 PHI 2 0 6.5 0.000 NA 0.000
128 Brandon Clarke PF 24 MEM 59 16 24.0 0.517 0.260 0.565
129 Jordan Clarkson SG 28 UTA 68 1 26.7 0.425 0.347 0.523
130 Nic Claxton C 21 BRK 32 1 18.6 0.621 0.200 0.636
131 Amir Coffey SG 23 LAC 44 1 9.0 0.437 0.411 0.468
132 John Collins PF 23 ATL 63 63 29.3 0.556 0.399 0.615
133 Mike Conley PG 33 UTA 51 51 29.4 0.444 0.412 0.479
134 Pat Connaughton SG 28 MIL 69 4 22.8 0.434 0.371 0.583
135 Quinn Cook PG 27 TOT 23 0 6.8 0.426 0.423 0.429
136 Quinn Cook PG 27 LAL 16 0 3.9 0.462 0.385 0.538
137 Quinn Cook PG 27 CLE 7 0 13.6 0.405 0.462 0.379
138 Tyler Cook PF 23 BRK 4 0 4.3 0.333 NA 0.333
139 Tyler Cook SF 23 DET 28 1 15.0 0.680 0.500 0.684
140 DeMarcus Cousins C 30 TOT 41 11 17.4 0.426 0.348 0.488
141 DeMarcus Cousins C 30 HOU 25 11 20.2 0.376 0.336 0.426
142 DeMarcus Cousins C 30 LAC 16 0 12.9 0.537 0.421 0.566
143 Robert Covington PF 30 POR 70 70 32.0 0.401 0.379 0.451
144 Torrey Craig SF 30 TOT 50 8 16.1 0.480 0.368 0.579
145 Torrey Craig SF 30 MIL 18 0 11.2 0.391 0.364 0.417
146 Torrey Craig SF 30 PHO 32 8 18.8 0.503 0.369 0.619
147 Jae Crowder PF 30 PHO 60 42 27.5 0.404 0.389 0.455
148 Jarrett Culver SG 21 MIN 34 7 14.7 0.411 0.245 0.487
149 Seth Curry SG 30 PHI 57 57 28.7 0.467 0.450 0.485
150 Stephen Curry PG 32 GSW 63 63 34.2 0.482 0.421 0.569
151 Nate Darling SG 22 CHO 7 0 3.7 0.286 0.286 NA
152 Anthony Davis PF 27 LAL 36 36 32.3 0.491 0.260 0.536
153 Ed Davis C 31 MIN 23 7 13.0 0.432 NA 0.432
154 Terence Davis SG 23 TOT 61 4 17.6 0.428 0.367 0.513
155 Terence Davis SG 23 TOR 34 4 14.5 0.414 0.361 0.489
156 Terence Davis SG 23 SAC 27 0 21.5 0.439 0.372 0.535
157 Gabriel Deck PF 25 OKC 10 0 21.2 0.478 0.133 0.577
158 Dewayne Dedmon C 31 MIA 16 0 13.1 0.708 0.200 0.750
159 Matthew Dellavedova PG 30 CLE 13 1 17.2 0.250 0.160 0.323
160 DeMar DeRozan PF 31 SAS 61 61 33.7 0.495 0.257 0.515
161 Mamadi Diakite PF 24 MIL 14 1 10.1 0.400 0.125 0.469
162 Hamidou Diallo SG 22 OKC 32 5 23.8 0.481 0.293 0.512
163 Hamidou Diallo SF 22 DET 20 4 23.3 0.468 0.390 0.492
164 Gorgui Dieng C 31 TOT 38 1 14.5 0.521 0.429 0.591
165 Gorgui Dieng C 31 MEM 22 1 16.9 0.519 0.479 0.550
166 Gorgui Dieng C 31 SAS 16 0 11.3 0.527 0.318 0.667
167 Spencer Dinwiddie SG 27 BRK 3 3 21.3 0.375 0.286 0.444
168 Donte DiVincenzo SG 24 MIL 66 66 27.5 0.420 0.379 0.475
169 Luka Dončić PG 21 DAL 66 66 34.3 0.479 0.350 0.567
170 Luguentz Dort SG 21 OKC 52 52 29.7 0.387 0.343 0.432
171 Damyean Dotson SG 26 CLE 46 7 19.7 0.406 0.289 0.545
172 Devon Dotson PG 21 CHI 11 0 4.5 0.524 0.143 0.714
173 Sekou Doumbouya PF 20 DET 56 11 15.5 0.379 0.226 0.485
174 PJ Dozier SG 24 DEN 50 6 21.8 0.417 0.315 0.490
175 Goran Dragić PG 34 MIA 50 11 26.7 0.432 0.373 0.479
176 Andre Drummond C 27 TOT 46 46 27.0 0.493 0.000 0.500
177 Andre Drummond C 27 CLE 25 25 28.9 0.474 0.000 0.484
178 Andre Drummond C 27 LAL 21 21 24.8 0.531 NA 0.531
179 Jared Dudley PF 35 LAL 12 0 6.8 0.222 0.333 0.000
180 Kris Dunn PG 26 ATL 4 0 11.3 0.083 0.000 0.100
181 Kevin Durant PF 32 BRK 35 32 33.1 0.537 0.450 0.577
182 Anthony Edwards SG 19 MIN 72 55 32.1 0.417 0.329 0.483
183 Carsen Edwards SG 22 BOS 31 1 8.9 0.423 0.286 0.604
184 CJ Elleby SF 20 POR 30 0 6.4 0.379 0.206 0.563
185 Henry Ellenson PF 24 TOR 2 0 19.0 0.357 0.222 0.600
186 Wayne Ellington SG 33 DET 46 31 22.0 0.441 0.422 0.524
187 Joel Embiid C 26 PHI 51 51 31.1 0.513 0.377 0.541
188 James Ennis III SF 30 ORL 41 37 24.0 0.473 0.433 0.504
189 Drew Eubanks C 23 SAS 54 3 14.0 0.566 1.000 0.562
190 Dante Exum SG 25 CLE 6 3 19.3 0.385 0.182 0.533
191 Tacko Fall C 25 BOS 19 0 7.2 0.724 NA 0.724
192 Derrick Favors C 29 UTA 68 0 15.3 0.638 0.000 0.643
193 Cristiano Felício C 28 CHI 18 0 4.7 0.538 0.000 0.636
194 Terrance Ferguson SG 22 PHI 13 0 3.8 0.143 0.000 0.500
195 Bruno Fernando C 22 ATL 33 0 6.8 0.409 0.000 0.429
196 Yogi Ferrell PG 27 TOT 10 0 13.6 0.351 0.321 0.379
197 Yogi Ferrell PG 27 CLE 2 0 20.0 0.381 0.333 0.417
198 Yogi Ferrell PG 27 LAC 8 0 12.0 0.333 0.316 0.353
199 Dorian Finney-Smith PF 27 DAL 60 60 32.0 0.472 0.394 0.616
200 Malik Fitts PF 23 LAC 3 0 3.7 0.333 0.500 0.000
201 Malachi Flynn PG 22 TOR 47 14 19.7 0.374 0.321 0.424
202 Bryn Forbes SG 27 MIL 70 10 19.3 0.473 0.452 0.511
203 Trent Forrest PG 22 UTA 30 0 10.1 0.451 0.192 0.600
204 Evan Fournier SF 28 ORL 26 26 30.3 0.461 0.388 0.536
205 Evan Fournier SG 28 BOS 16 10 29.5 0.448 0.463 0.429
206 De'Aaron Fox PG 23 SAC 58 58 35.1 0.477 0.322 0.539
207 Robert Franks PF 24 ORL 7 0 14.4 0.464 0.333 0.615
208 Tim Frazier PG 30 MEM 5 0 12.4 0.150 0.000 0.250
209 Enes Freedom C 28 POR 72 35 24.4 0.604 0.250 0.607
210 Markelle Fultz PG 22 ORL 8 8 26.9 0.394 0.250 0.420
211 Wenyen Gabriel PF 23 NOP 21 0 11.5 0.400 0.406 0.393
212 Daniel Gafford PF 22 CHI 31 11 12.4 0.690 NA 0.690
213 Daniel Gafford C 22 WAS 23 0 17.7 0.681 NA 0.681
214 Danilo Gallinari PF 32 ATL 51 4 24.0 0.434 0.406 0.466
215 Langston Galloway SG 29 PHO 40 0 11.0 0.449 0.424 0.484
216 Darius Garland PG 21 CLE 54 50 33.1 0.451 0.395 0.479
217 Marc Gasol C 36 LAL 52 42 19.1 0.454 0.410 0.528
218 Rudy Gay PF 34 SAS 63 1 21.6 0.420 0.381 0.451
219 Paul George SF 30 LAC 54 54 33.7 0.467 0.411 0.510
220 Taj Gibson C 35 NYK 45 3 20.8 0.627 0.200 0.671
221 Harry Giles C 22 POR 38 0 9.2 0.433 0.348 0.459
222 Shai Gilgeous-Alexander SG 22 OKC 35 35 33.7 0.508 0.418 0.547
223 Anthony Gill PF 28 WAS 26 4 8.4 0.500 0.292 0.639
224 Freddie Gillespie PF 23 TOR 20 2 19.6 0.524 NA 0.524
225 Rudy Gobert C 28 UTA 71 71 30.8 0.675 0.000 0.680
226 Brandon Goodwin PG 25 ATL 47 5 13.2 0.377 0.311 0.433
227 Aaron Gordon PF 25 TOT 50 50 27.7 0.463 0.335 0.533
228 Aaron Gordon PF 25 ORL 25 25 29.4 0.437 0.375 0.475
229 Aaron Gordon PF 25 DEN 25 25 25.9 0.500 0.266 0.606
230 Eric Gordon SG 32 HOU 27 13 29.2 0.433 0.329 0.573
231 Devonte' Graham PG 25 CHO 55 44 30.2 0.377 0.375 0.380
232 Jerami Grant SF 26 DET 54 54 33.9 0.429 0.350 0.473
233 Danny Green SF 33 PHI 69 69 28.0 0.412 0.405 0.438
234 Draymond Green PF 30 GSW 63 63 31.5 0.447 0.270 0.535
235 JaMychal Green PF 30 DEN 58 5 19.3 0.463 0.399 0.534
236 Javonte Green SF 27 BOS 25 2 13.8 0.549 0.318 0.653
237 Javonte Green SG 27 CHI 16 0 8.0 0.452 0.375 0.478
238 Jeff Green PF 34 BRK 68 38 27.0 0.492 0.412 0.564
239 Josh Green SG 20 DAL 39 5 11.4 0.452 0.160 0.559
240 Blake Griffin PF 31 TOT 46 30 25.8 0.423 0.341 0.505
241 Blake Griffin PF 31 DET 20 20 31.3 0.365 0.315 0.429
242 Blake Griffin PF 31 BRK 26 10 21.5 0.492 0.383 0.574
243 Kyle Guy PG 23 SAC 31 0 7.6 0.330 0.283 0.381
244 Rui Hachimura PF 22 WAS 57 57 31.5 0.478 0.328 0.519
245 Ashton Hagans PG 21 MIN 2 0 2.0 NA NA NA
246 Tyrese Haliburton PG 20 SAC 58 20 30.1 0.472 0.409 0.529
247 Donta Hall PF 23 ORL 13 0 13.8 0.714 NA 0.714
248 Josh Hall SF 20 OKC 21 1 16.0 0.303 0.108 0.419
249 R.J. Hampton PG 19 DEN 25 0 9.3 0.417 0.278 0.476
250 R.J. Hampton SG 19 ORL 26 1 25.2 0.439 0.319 0.484
251 Tim Hardaway Jr. SG 28 DAL 70 31 28.4 0.447 0.391 0.524
252 James Harden PG 31 TOT 44 43 36.6 0.466 0.362 0.553
253 James Harden PG 31 HOU 8 8 36.3 0.444 0.347 0.556
254 James Harden PG 31 BRK 36 35 36.6 0.471 0.366 0.552
255 Maurice Harkless SF 27 MIA 11 3 11.3 0.385 0.455 0.000
256 Maurice Harkless PF 27 SAC 26 20 24.9 0.421 0.247 0.582
257 Jared Harper PG 23 NYK 8 0 2.0 0.000 0.000 0.000
258 Montrezl Harrell C 27 LAL 69 1 22.9 0.622 0.000 0.632
259 Gary Harris SG 26 TOT 39 38 27.7 0.400 0.340 0.441
260 Gary Harris SG 26 DEN 19 19 30.6 0.442 0.320 0.556
261 Gary Harris SG 26 ORL 20 19 25.0 0.365 0.364 0.366
262 Jalen Harris SG 22 TOR 13 2 13.2 0.500 0.472 0.528
263 Joe Harris SF 29 BRK 69 65 31.0 0.505 0.475 0.555
264 Tobias Harris PF 28 PHI 62 62 32.5 0.512 0.394 0.546
265 Shaquille Harrison SG 27 TOT 34 0 9.8 0.333 0.188 0.371
266 Shaquille Harrison SG 27 UTA 17 0 3.3 0.300 0.000 0.333
267 Shaquille Harrison SG 27 DEN 17 0 16.3 0.345 0.214 0.386
268 Josh Hart SF 25 NOP 47 4 28.7 0.439 0.326 0.583
269 Isaiah Hartenstein C 22 TOT 46 2 12.2 0.550 0.333 0.558
270 Isaiah Hartenstein C 22 DEN 30 0 9.1 0.513 NA 0.513
271 Isaiah Hartenstein C 22 CLE 16 2 17.9 0.582 0.333 0.600
272 Udonis Haslem C 40 MIA 1 0 3.0 1.000 NA 1.000
273 Jaxson Hayes C 20 NOP 60 3 16.1 0.625 0.429 0.635
274 Killian Hayes PG 19 DET 26 18 25.8 0.353 0.278 0.395
275 Gordon Hayward SF 30 CHO 44 44 34.0 0.473 0.415 0.499
276 Juancho Hernangómez PF 25 MIN 52 6 17.3 0.435 0.327 0.573
277 Willy Hernangómez C 26 NOP 47 12 18.0 0.563 0.100 0.581
278 Tyler Herro SG 21 MIA 54 15 30.3 0.439 0.360 0.498
279 Buddy Hield SG 28 SAC 71 71 34.3 0.406 0.391 0.446
280 George Hill PG 34 TOT 30 17 22.4 0.482 0.388 0.547
281 George Hill PG 34 OKC 14 14 26.4 0.508 0.386 0.619
282 George Hill PG 34 PHI 16 3 18.9 0.442 0.391 0.463
283 Solomon Hill PF 29 ATL 71 16 21.3 0.359 0.321 0.453
284 Nate Hinton SG 21 DAL 21 0 4.4 0.357 0.211 0.478
285 Jaylen Hoard SF 21 OKC 19 0 16.8 0.500 0.000 0.571
286 Aaron Holiday PG 24 IND 66 8 17.8 0.390 0.368 0.406
287 Jrue Holiday PG 30 MIL 59 56 32.3 0.503 0.392 0.561
288 Justin Holiday SG 31 IND 72 52 30.3 0.413 0.382 0.494
289 Rondae Hollis-Jefferson PF 26 POR 11 1 9.7 0.500 0.000 0.529
290 Richaun Holmes C 27 SAC 61 61 29.2 0.637 0.182 0.645
291 Rodney Hood SF 28 TOT 55 5 17.1 0.362 0.301 0.408
292 Rodney Hood SF 28 POR 38 5 19.1 0.363 0.298 0.410
293 Rodney Hood SF 28 TOR 17 0 12.7 0.356 0.310 0.400
294 Al Horford C 34 OKC 28 28 27.9 0.450 0.368 0.510
295 Talen Horton-Tucker SG 20 LAL 65 4 20.1 0.458 0.282 0.522
296 Danuel House Jr. SF 27 HOU 36 23 25.9 0.404 0.346 0.483
297 Dwight Howard C 35 PHI 69 6 17.3 0.587 0.250 0.611
298 Markus Howard SG 21 DEN 37 1 5.5 0.377 0.277 0.537
299 Kevin Huerter SG 22 ATL 69 49 30.8 0.432 0.363 0.510
300 Elijah Hughes SF 22 UTA 18 0 3.6 0.333 0.348 0.286
301 De'Andre Hunter SF 23 ATL 23 19 29.5 0.484 0.326 0.582
302 Chandler Hutchison SF 24 TOT 25 1 13.8 0.379 0.364 0.383
303 Chandler Hutchison SF 24 CHI 7 0 9.1 0.278 0.333 0.267
304 Chandler Hutchison SF 24 WAS 18 1 15.7 0.400 0.368 0.409
305 Serge Ibaka C 31 LAC 41 39 23.3 0.510 0.339 0.588
306 Andre Iguodala SF 37 MIA 63 5 21.3 0.383 0.330 0.530
307 Ersan İlyasova PF 33 UTA 17 1 8.7 0.389 0.439 0.231
308 Joe Ingles SF 33 UTA 67 30 27.9 0.489 0.451 0.590
309 Brandon Ingram SF 23 NOP 61 61 34.3 0.466 0.381 0.510
310 Kyrie Irving PG 28 BRK 54 54 34.9 0.506 0.402 0.561
311 Wes Iwundu SF 26 TOT 41 4 13.1 0.333 0.122 0.475
312 Wes Iwundu SF 26 DAL 23 3 12.5 0.327 0.130 0.483
313 Wes Iwundu SF 26 NOP 18 1 13.9 0.340 0.111 0.469
314 Frank Jackson PG 22 DET 40 6 18.5 0.457 0.407 0.510
315 Jaren Jackson Jr. C 21 MEM 11 4 23.5 0.424 0.283 0.554
316 Josh Jackson SG 23 DET 62 25 25.2 0.419 0.300 0.487
317 Justin Jackson SF 25 TOT 34 3 17.0 0.403 0.308 0.510
318 Justin Jackson SF 25 OKC 33 3 16.5 0.406 0.306 0.515
319 Justin Jackson SF 25 MIL 1 0 33.0 0.333 0.333 0.333
320 Reggie Jackson SG 30 LAC 67 43 23.0 0.450 0.433 0.465
321 Justin James SF 24 SAC 36 0 8.6 0.468 0.368 0.521
322 LeBron James PG 36 LAL 45 45 33.4 0.513 0.365 0.591
323 Mike James PG 30 BRK 13 1 18.2 0.370 0.355 0.377
324 DaQuan Jeffries SG 23 TOT 31 5 15.9 0.417 0.299 0.566
325 DaQuan Jeffries SG 23 SAC 18 2 12.9 0.421 0.321 0.517
326 DaQuan Jeffries SG 23 HOU 13 3 20.1 0.413 0.282 0.625
327 Ty Jerome SG 23 OKC 33 1 23.9 0.446 0.423 0.479
328 Isaiah Joe SG 21 PHI 41 1 9.3 0.361 0.368 0.333
329 Alize Johnson PF 24 BRK 18 0 10.5 0.588 0.167 0.629
330 Cameron Johnson PF 24 PHO 60 11 24.0 0.420 0.349 0.581
331 James Johnson PF 33 TOT 51 12 20.5 0.446 0.258 0.556
332 James Johnson PF 33 DAL 29 1 17.4 0.462 0.250 0.612
333 James Johnson PF 33 NOP 22 11 24.5 0.434 0.267 0.516
334 Keldon Johnson SF 21 SAS 69 67 28.5 0.479 0.331 0.531
335 Stanley Johnson PF 24 TOR 61 13 16.5 0.382 0.328 0.458
336 Tyler Johnson SG 28 BRK 39 3 17.5 0.393 0.364 0.471
337 Nikola Jokić C 25 DEN 72 72 34.6 0.566 0.388 0.606
338 Damian Jones C 25 TOT 39 10 14.0 0.680 0.200 0.704
339 Damian Jones C 25 PHO 14 0 6.7 0.500 0.000 0.533
340 Damian Jones C 25 LAL 8 6 14.0 0.941 NA 0.941
341 Damian Jones C 25 SAC 17 4 20.1 0.657 0.250 0.682
342 Derrick Jones Jr. SF 23 POR 58 43 22.7 0.484 0.316 0.619
343 Mason Jones SG 22 TOT 32 1 10.4 0.423 0.364 0.491
344 Mason Jones SG 22 HOU 26 1 11.8 0.412 0.359 0.480
345 Mason Jones SG 22 PHI 6 0 4.5 0.556 0.500 0.571
346 Tre Jones PG 21 SAS 37 1 7.3 0.474 0.600 0.466
347 Tyus Jones PG 24 MEM 70 9 17.5 0.431 0.321 0.487
348 DeAndre Jordan C 32 BRK 57 43 21.9 0.763 0.000 0.766
349 Cory Joseph PG 29 TOT 63 13 23.0 0.469 0.341 0.527
350 Cory Joseph PG 29 SAC 44 2 21.5 0.444 0.330 0.513
351 Cory Joseph PG 29 DET 19 11 26.4 0.506 0.368 0.543
352 Mfiondu Kabengele PF 23 TOT 39 0 7.2 0.371 0.260 0.513
353 Mfiondu Kabengele PF 23 LAC 23 0 4.1 0.281 0.222 0.357
354 Mfiondu Kabengele PF 23 CLE 16 0 11.6 0.421 0.281 0.600
355 Frank Kaminsky C 27 PHO 47 13 15.2 0.471 0.365 0.523
356 Luke Kennard SG 24 LAC 63 17 19.6 0.476 0.446 0.511
357 Louis King SF 21 SAC 6 1 14.2 0.500 0.364 0.565
358 Maxi Kleber PF 29 DAL 50 40 26.8 0.422 0.410 0.460
359 Nathan Knight PF 23 ATL 33 0 8.5 0.370 0.182 0.463
360 Kevin Knox SF 21 NYK 42 0 11.0 0.392 0.393 0.389
361 John Konchar SG 24 MEM 43 0 13.4 0.500 0.375 0.585
362 Furkan Korkmaz SG 23 PHI 55 11 19.3 0.401 0.375 0.445
363 Luke Kornet PF 25 CHI 13 0 7.2 0.333 0.261 0.750
364 Luke Kornet C 25 BOS 18 2 14.1 0.473 0.250 0.684
365 Rodions Kurucs PF 22 BRK 5 0 3.2 0.333 0.500 0.000
366 Rodions Kurucs SF 22 HOU 11 0 6.8 0.238 0.133 0.500
367 Rodions Kurucs SF 22 MIL 5 0 6.8 0.625 0.750 0.500
368 Kyle Kuzma SF 25 LAL 68 32 28.7 0.443 0.361 0.525
369 Anthony Lamb SF 23 HOU 24 3 17.3 0.390 0.324 0.489
370 Jeremy Lamb SG 28 IND 36 8 21.3 0.435 0.406 0.459
371 Romeo Langford SG 21 BOS 18 4 15.7 0.356 0.278 0.390
372 Zach LaVine SG 25 CHI 58 58 35.1 0.507 0.419 0.571
373 Jake Layman SF 26 MIN 45 11 13.9 0.495 0.295 0.642
374 T.J. Leaf PF 23 POR 7 0 5.0 0.500 NA 0.500
375 Jalen Lecque PG 20 IND 4 0 3.0 0.111 0.000 0.125
376 Damion Lee SG 28 GSW 57 1 18.9 0.467 0.397 0.638
377 Saben Lee PG 21 DET 48 7 16.3 0.471 0.348 0.487
378 Alex Len C 27 TOT 64 42 15.3 0.615 0.320 0.644
379 Alex Len C 27 TOR 7 2 10.9 0.500 0.500 0.500
380 Alex Len C 27 WAS 57 40 15.8 0.619 0.263 0.647
381 Kawhi Leonard SF 29 LAC 52 52 34.1 0.512 0.398 0.557
382 Meyers Leonard C 28 MIA 3 2 9.7 0.429 0.429 NA
383 Caris LeVert SG 26 TOT 47 39 31.6 0.441 0.326 0.495
384 Caris LeVert SG 26 BRK 12 4 27.8 0.435 0.349 0.474
385 Caris LeVert SG 26 IND 35 35 32.9 0.443 0.318 0.501
386 Kira Lewis Jr. PG 19 NOP 54 0 16.7 0.386 0.333 0.415
387 Damian Lillard PG 30 POR 67 67 35.8 0.451 0.391 0.519
388 Nassir Little PF 20 POR 48 2 13.3 0.467 0.350 0.575
389 Kevon Looney C 24 GSW 61 34 19.0 0.548 0.235 0.578
390 Brook Lopez C 32 MIL 70 70 27.2 0.503 0.338 0.632
391 Robin Lopez C 32 WAS 71 9 19.1 0.633 0.278 0.649
392 Didi Louzada SF 21 NOP 3 0 18.7 0.231 0.250 0.200
393 Kevin Love PF 32 CLE 25 25 24.9 0.409 0.365 0.479
394 Kyle Lowry PG 34 TOR 46 46 34.8 0.436 0.396 0.487
395 Timothé Luwawu-Cabarrot SF 25 BRK 58 7 18.1 0.365 0.314 0.470
396 Trey Lyles PF 25 SAS 23 9 15.6 0.478 0.350 0.580
397 Will Magnay C 22 NOP 1 0 3.0 0.000 0.000 NA
398 Thon Maker C 23 CLE 8 0 9.5 0.556 0.000 0.625
399 Théo Maledon PG 19 OKC 65 49 27.4 0.368 0.335 0.402
400 Karim Mané PG 20 ORL 10 0 8.8 0.231 0.500 0.182
401 Terance Mann SG 24 LAC 67 10 18.9 0.509 0.418 0.541
402 Nico Mannion PG 19 GSW 30 1 12.1 0.342 0.367 0.315
403 Boban Marjanović C 32 DAL 33 3 8.2 0.508 0.125 0.535
404 Lauri Markkanen PF 23 CHI 51 26 25.8 0.480 0.402 0.582
405 Naji Marshall SF 23 NOP 32 10 21.9 0.392 0.349 0.421
406 Caleb Martin SF 25 CHO 53 3 15.4 0.375 0.248 0.496
407 Cody Martin SF 25 CHO 52 10 16.3 0.441 0.276 0.515
408 Jeremiah Martin PG 24 CLE 9 0 8.3 0.273 0.250 0.286
409 Kelan Martin SF 25 IND 35 0 9.2 0.449 0.400 0.487
410 Kenyon Martin Jr. SF 20 HOU 45 8 23.7 0.509 0.365 0.572
411 Frank Mason III PG 26 ORL 4 1 19.8 0.375 0.400 0.368
412 Garrison Mathews SG 24 WAS 64 24 16.2 0.409 0.384 0.538
413 Dakota Mathias SG 25 PHI 8 2 15.4 0.396 0.308 0.500
414 Wesley Matthews SG 34 LAL 58 10 19.5 0.353 0.335 0.418
415 Tyrese Maxey SG 20 PHI 61 8 15.3 0.462 0.301 0.512
416 Skylar Mays SG 23 ATL 33 0 8.2 0.449 0.350 0.517
417 Patrick McCaw SF 25 TOR 5 0 6.6 1.000 NA 1.000
418 CJ McCollum SG 29 POR 47 47 34.0 0.458 0.402 0.509
419 T.J. McConnell PG 28 IND 69 3 26.0 0.559 0.313 0.586
420 Jaden McDaniels PF 20 MIN 63 27 24.0 0.447 0.364 0.544
421 Jalen McDaniels SF 23 CHO 47 18 19.2 0.468 0.333 0.547
422 Doug McDermott PF 29 IND 66 29 24.5 0.532 0.388 0.641
423 Sean McDermott SF 24 MEM 18 0 8.8 0.394 0.227 0.727
424 JaVale McGee C 33 TOT 46 2 14.7 0.511 0.208 0.539
425 JaVale McGee C 33 CLE 33 1 15.2 0.521 0.250 0.549
426 JaVale McGee C 33 DEN 13 1 13.5 0.478 0.000 0.508
427 Rodney McGruder SG 29 DET 16 2 12.1 0.529 0.458 0.565
428 Alfonzo McKinnie SF 28 LAL 39 0 6.6 0.516 0.410 0.593
429 Jordan McLaughlin PG 24 MIN 51 2 18.4 0.413 0.359 0.447
430 Ben McLemore SG 27 TOT 53 5 17.1 0.370 0.346 0.447
431 Ben McLemore SG 27 HOU 32 4 16.8 0.357 0.331 0.431
432 Ben McLemore SG 27 LAL 21 1 17.5 0.390 0.368 0.481
433 Nicolò Melli PF 30 TOT 45 4 12.6 0.326 0.271 0.411
434 Nicolò Melli PF 30 NOP 22 0 11.0 0.254 0.189 0.364
435 Nicolò Melli PF 30 DAL 23 4 14.1 0.378 0.333 0.441
436 De'Anthony Melton PG 22 MEM 52 1 20.1 0.438 0.412 0.467
437 Sam Merrill SG 24 MIL 30 2 7.8 0.444 0.447 0.440
438 Chimezie Metu C 23 SAC 36 6 13.6 0.508 0.351 0.549
439 Khris Middleton SF 29 MIL 68 68 33.4 0.476 0.414 0.508
440 Darius Miller SF 30 OKC 18 0 10.9 0.458 0.405 0.833
441 Patty Mills PG 32 SAS 68 1 24.8 0.412 0.375 0.500
442 Paul Millsap PF 35 DEN 56 36 20.8 0.476 0.343 0.550
443 Shake Milton SG 24 PHI 63 4 23.2 0.450 0.350 0.494
444 Donovan Mitchell PG 24 UTA 53 53 33.4 0.438 0.386 0.476
445 Adam Mokoka SG 22 CHI 14 0 4.0 0.368 0.100 0.667
446 Malik Monk SG 22 CHO 42 0 20.9 0.434 0.401 0.471
447 E'Twaun Moore SG 31 PHO 27 1 14.4 0.455 0.314 0.512
448 Ja Morant PG 21 MEM 63 63 32.6 0.449 0.303 0.499
449 Juwan Morgan PF 23 UTA 29 0 5.1 0.467 0.308 0.588
450 Marcus Morris PF 31 LAC 57 29 26.4 0.473 0.473 0.472
451 Markieff Morris PF 31 LAL 61 27 19.7 0.405 0.311 0.521
452 Monte Morris PG 25 DEN 47 13 25.4 0.481 0.381 0.534
453 Mychal Mulder PG 26 GSW 60 6 12.8 0.449 0.397 0.667
454 Dejounte Murray PG 24 SAS 67 67 31.9 0.453 0.317 0.488
455 Jamal Murray PG 23 DEN 48 48 35.5 0.477 0.408 0.523
456 Mike Muscala C 29 OKC 35 0 18.4 0.446 0.370 0.614
457 Svi Mykhailiuk SF 23 DET 36 5 17.6 0.377 0.333 0.519
458 Svi Mykhailiuk SG 23 OKC 30 9 23.0 0.438 0.336 0.543
459 Abdel Nader SF 27 PHO 24 0 14.8 0.491 0.419 0.534
460 Larry Nance Jr. PF 28 CLE 35 27 31.2 0.471 0.360 0.551
461 Aaron Nesmith SF 21 BOS 46 1 14.5 0.438 0.370 0.543
462 Raul Neto PG 28 WAS 64 22 21.9 0.468 0.390 0.512
463 Georges Niang PF 27 UTA 72 10 16.0 0.437 0.425 0.469
464 Zeke Nnaji PF 20 DEN 42 1 9.5 0.481 0.407 0.578
465 Nerlens Noel C 26 NYK 64 41 24.2 0.614 0.000 0.623
466 Jaylen Nowell SG 21 MIN 42 0 18.1 0.424 0.333 0.497
467 Frank Ntilikina PG 22 NYK 33 4 9.8 0.367 0.479 0.194
468 Kendrick Nunn PG 25 MIA 56 44 29.5 0.485 0.381 0.583
469 James Nunnally SF 30 NOP 9 0 5.3 0.385 0.333 1.000
470 Jusuf Nurkić C 26 POR 37 37 23.8 0.514 0.400 0.525
471 David Nwaba SF 28 HOU 30 9 22.6 0.486 0.270 0.574
472 Jordan Nwora SF 22 MIL 30 2 9.1 0.459 0.452 0.466
473 Royce O'Neale SF 27 UTA 71 71 31.6 0.444 0.385 0.586
474 Semi Ojeleye PF 26 BOS 56 15 17.0 0.403 0.367 0.492
475 Jahlil Okafor C 25 DET 27 2 12.9 0.618 0.222 0.656
476 Chuma Okeke PF 22 ORL 45 19 25.2 0.417 0.348 0.470
477 Josh Okogie SG 22 MIN 59 37 20.3 0.402 0.269 0.500
478 Onyeka Okongwu C 20 ATL 50 4 12.0 0.644 0.000 0.658
479 Isaac Okoro SG 20 CLE 67 67 32.4 0.420 0.290 0.501
480 KZ Okpala PF 21 MIA 37 9 12.1 0.375 0.240 0.522
481 Victor Oladipo SG 28 TOT 33 33 32.7 0.408 0.326 0.466
482 Victor Oladipo SG 28 IND 9 9 33.3 0.421 0.362 0.470
483 Victor Oladipo SG 28 HOU 20 20 33.5 0.407 0.320 0.465
484 Victor Oladipo SG 28 MIA 4 4 27.8 0.372 0.235 0.462
485 Cameron Oliver SF 24 HOU 4 0 21.8 0.576 0.308 0.750
486 Kelly Olynyk C 29 MIA 43 38 26.9 0.431 0.317 0.639
487 Kelly Olynyk PF 29 HOU 27 24 31.1 0.545 0.392 0.643
488 Miye Oni SG 23 UTA 54 0 9.6 0.354 0.341 0.455
489 Cedi Osman SF 25 CLE 59 26 25.6 0.374 0.306 0.458
490 Daniel Oturu C 21 LAC 30 0 5.4 0.423 0.200 0.447
491 Kelly Oubre Jr. SF 25 GSW 55 50 30.7 0.439 0.316 0.519
492 Jabari Parker PF 25 TOT 13 0 12.7 0.545 0.182 0.636
493 Jabari Parker PF 25 SAC 3 0 9.0 0.571 0.000 0.667
494 Jabari Parker PF 25 BOS 10 0 13.8 0.542 0.200 0.632
495 Eric Paschall PF 24 GSW 40 2 17.4 0.497 0.333 0.533
496 Anžejs Pasečņiks C 25 WAS 1 0 6.0 0.000 0.000 NA
497 Patrick Patterson PF 31 LAC 38 5 15.3 0.436 0.357 0.604
498 Justin Patton C 23 HOU 13 6 19.0 0.414 0.265 0.556
499 Chris Paul PG 35 PHO 70 70 31.4 0.499 0.395 0.543
500 Cameron Payne PG 26 PHO 60 1 18.0 0.484 0.440 0.515
501 Elfrid Payton PG 26 NYK 63 63 23.6 0.432 0.286 0.460
502 Gary Payton II PG 28 GSW 10 0 4.0 0.769 0.500 0.889
503 Norvel Pelle C 27 TOT 13 0 6.5 0.533 NA 0.533
504 Norvel Pelle C 27 BRK 3 0 9.3 0.429 NA 0.429
505 Norvel Pelle C 27 SAC 1 0 4.0 0.000 NA 0.000
506 Norvel Pelle C 27 NYK 9 0 5.8 0.714 NA 0.714
507 Reggie Perry PF 20 BRK 26 0 8.1 0.410 0.190 0.491
508 Theo Pinson SG 25 NYK 17 0 2.0 0.111 0.000 1.000
509 Mason Plumlee C 30 DET 56 56 26.8 0.614 0.000 0.626
510 Jakob Poeltl C 25 SAS 69 51 26.7 0.616 NA 0.616
511 Vincent Poirier C 27 PHI 10 0 3.9 0.250 0.000 0.273
512 Aleksej Pokusevski PF 19 OKC 45 28 24.2 0.341 0.280 0.403
513 Jordan Poole SG 21 GSW 51 7 19.4 0.432 0.351 0.545
514 Jontay Porter PF 21 MEM 11 0 4.9 0.533 0.375 0.714
515 Kevin Porter Jr. SG 20 HOU 26 23 32.1 0.425 0.311 0.515
516 Michael Porter Jr. SF 22 DEN 61 54 31.3 0.542 0.445 0.628
517 Otto Porter Jr. SF 27 CHI 25 6 21.6 0.441 0.400 0.477
518 Otto Porter Jr. PF 27 ORL 3 0 22.0 0.360 0.111 0.500
519 Bobby Portis C 25 MIL 66 7 20.8 0.523 0.471 0.542
520 Kristaps Porziņģis C 25 DAL 43 43 30.9 0.476 0.376 0.536
521 Dwight Powell C 29 DAL 58 19 16.7 0.619 0.238 0.665
522 Norman Powell SG 27 TOR 42 31 30.4 0.498 0.439 0.552
523 Norman Powell SF 27 POR 27 27 34.4 0.443 0.361 0.502
524 Taurean Prince PF 26 TOT 41 10 22.1 0.401 0.400 0.401
525 Taurean Prince PF 26 BRK 12 4 18.2 0.405 0.351 0.459
526 Taurean Prince PF 26 CLE 29 6 23.7 0.399 0.415 0.385
527 Payton Pritchard SG 23 BOS 66 4 19.2 0.440 0.411 0.482
528 Immanuel Quickley PG 21 NYK 64 3 19.4 0.395 0.389 0.401
529 Jahmi'us Ramsey SG 19 SAC 13 0 7.2 0.395 0.263 0.526
530 Chasson Randle PG 27 ORL 41 5 20.4 0.388 0.338 0.449
531 Julius Randle PF 26 NYK 71 71 37.6 0.456 0.411 0.474
532 Cam Reddish SF 21 ATL 26 21 28.8 0.365 0.262 0.460
533 J.J. Redick SG 36 TOT 44 0 16.4 0.397 0.371 0.449
534 J.J. Redick SG 36 NOP 31 0 18.6 0.407 0.364 0.486
535 J.J. Redick SG 36 DAL 13 0 11.3 0.358 0.395 0.267
536 Paul Reed PF 21 PHI 26 0 6.8 0.538 0.000 0.583
537 Naz Reid C 21 MIN 70 15 19.2 0.523 0.351 0.597
538 Cameron Reynolds SF 25 TOT 5 0 8.0 0.333 0.250 0.500
539 Cameron Reynolds SF 25 SAS 3 0 2.0 0.500 NA 0.500
540 Cameron Reynolds SF 25 HOU 2 0 17.0 0.313 0.250 0.500
541 Nick Richards PF 23 CHO 18 0 3.5 0.444 0.000 0.500
542 Josh Richardson SG 27 DAL 59 56 30.3 0.427 0.330 0.501
543 Grant Riller PG 23 CHO 7 0 3.9 0.667 0.500 0.750
544 Austin Rivers SG 28 TOT 36 7 23.5 0.424 0.369 0.510
545 Austin Rivers SG 28 NYK 21 2 21.0 0.430 0.364 0.517
546 Austin Rivers SG 28 DEN 15 5 26.9 0.418 0.375 0.500
547 Andre Roberson SG 29 BRK 5 0 12.6 0.143 0.125 0.167
548 Duncan Robinson SF 26 MIA 72 72 31.4 0.439 0.408 0.625
549 Glenn Robinson III SF 27 SAC 23 2 16.0 0.424 0.364 0.473
550 Jerome Robinson SG 23 WAS 17 6 17.9 0.295 0.262 0.321
551 Justin Robinson PG 23 OKC 9 0 9.8 0.333 0.286 0.429
552 Mitchell Robinson C 22 NYK 31 29 27.5 0.653 NA 0.653
553 Isaiah Roby PF 22 OKC 61 34 23.4 0.483 0.294 0.547
554 Rajon Rondo PG 34 TOT 45 3 17.1 0.442 0.404 0.468
555 Rajon Rondo PG 34 ATL 27 2 14.9 0.400 0.378 0.415
556 Rajon Rondo PG 34 LAC 18 1 20.4 0.486 0.432 0.525
557 Derrick Rose PG 32 TOT 50 3 25.6 0.470 0.388 0.492
558 Derrick Rose PG 32 DET 15 0 22.8 0.429 0.333 0.455
559 Derrick Rose PG 32 NYK 35 3 26.8 0.487 0.411 0.507
560 Terrence Ross SG 29 ORL 46 2 29.3 0.412 0.337 0.469
561 Terry Rozier SG 26 CHO 69 69 34.5 0.450 0.389 0.512
562 Ricky Rubio PG 30 MIN 68 51 26.1 0.388 0.308 0.447
563 D'Angelo Russell PG 24 MIN 42 26 28.5 0.431 0.387 0.471
564 Domantas Sabonis PF 24 IND 62 62 36.0 0.535 0.321 0.582
565 Luka Šamanić PF 21 SAS 33 4 9.3 0.448 0.279 0.565
566 JaKarr Sampson PF 27 IND 29 4 10.9 0.496 0.200 0.541
567 Dario Šarić C 26 PHO 50 4 17.4 0.447 0.348 0.512
568 Tomáš Satoranský SG 29 CHI 58 18 22.5 0.514 0.356 0.602
569 Dennis Schröder SG 27 LAL 61 61 32.1 0.437 0.335 0.476
570 Mike Scott PF 32 PHI 51 12 16.7 0.360 0.342 0.411
571 Jay Scrubb SG 20 LAC 4 1 21.0 0.389 0.222 0.444
572 Collin Sexton SG 22 CLE 60 60 35.3 0.475 0.371 0.508
573 Landry Shamet SG 23 BRK 61 12 23.0 0.408 0.387 0.463
574 Iman Shumpert SG 30 BRK 2 0 5.5 0.250 0.000 1.000
575 Pascal Siakam PF 26 TOR 56 56 35.8 0.455 0.297 0.509
576 Chris Silva PF 24 TOT 15 0 6.1 0.625 1.000 0.600
577 Chris Silva PF 24 MIA 11 0 7.5 0.692 1.000 0.667
578 Chris Silva PF 24 SAC 4 0 2.3 0.333 NA 0.333
579 Ben Simmons PG 24 PHI 58 58 32.4 0.557 0.300 0.562
580 Anfernee Simons SG 21 POR 64 0 17.3 0.419 0.426 0.403
581 Deividas Sirvydis SG 20 DET 20 0 6.7 0.350 0.357 0.333
582 Alen Smailagić PF 20 GSW 15 1 5.6 0.407 0.400 0.412
583 Marcus Smart PG 26 BOS 48 45 32.9 0.398 0.330 0.482
584 Dennis Smith Jr. PG 23 TOT 23 9 18.3 0.400 0.328 0.448
585 Dennis Smith Jr. PG 23 NYK 3 0 9.3 0.200 0.000 0.333
586 Dennis Smith Jr. PG 23 DET 20 9 19.6 0.415 0.352 0.457
587 Ish Smith PG 32 WAS 44 1 21.0 0.434 0.367 0.448
588 Jalen Smith PF 20 PHO 27 1 5.8 0.440 0.235 0.545
589 Tony Snell SG 29 ATL 47 23 21.1 0.515 0.569 0.419
590 Ray Spalding C 23 HOU 2 0 9.5 0.500 0.000 0.667
591 Cassius Stanley SG 21 IND 24 0 3.9 0.302 0.231 0.333
592 Lamar Stevens PF 23 CLE 40 0 12.5 0.456 0.160 0.523
593 Isaiah Stewart C 19 DET 68 14 21.4 0.553 0.333 0.592
594 Max Strus SF 24 MIA 39 0 13.0 0.455 0.338 0.897
595 Edmond Sumner SG 25 IND 53 24 16.2 0.525 0.398 0.582
596 Jae'Sean Tate SF 25 HOU 70 58 29.2 0.506 0.308 0.595
597 Jayson Tatum SF 22 BOS 64 64 35.8 0.459 0.386 0.502
598 Jeff Teague PG 32 TOT 55 7 17.3 0.433 0.439 0.431
599 Jeff Teague PG 32 BOS 34 5 18.1 0.415 0.464 0.394
600 Jeff Teague PG 32 MIL 21 2 15.9 0.469 0.385 0.500
601 Garrett Temple SG 34 CHI 56 25 27.3 0.415 0.335 0.503
602 Tyrell Terry PG 20 DAL 11 0 5.1 0.313 0.000 0.556
603 Daniel Theis C 28 TOT 65 51 24.6 0.541 0.322 0.646
604 Daniel Theis C 28 BOS 42 37 24.5 0.552 0.347 0.653
605 Daniel Theis C 28 CHI 23 14 25.0 0.522 0.281 0.636
606 Brodric Thomas SG 24 TOT 32 1 12.5 0.361 0.271 0.469
607 Brodric Thomas SG 24 HOU 4 0 6.0 0.286 0.167 1.000
608 Brodric Thomas SG 24 CLE 28 1 13.4 0.366 0.283 0.458
609 Isaiah Thomas PG 31 NOP 3 0 16.0 0.333 0.250 0.400
610 Khyri Thomas SG 24 HOU 5 2 30.6 0.485 0.333 0.590
611 Matt Thomas SG 26 TOT 45 0 7.2 0.394 0.338 0.489
612 Matt Thomas SG 26 TOR 26 0 7.4 0.387 0.415 0.333
613 Matt Thomas SG 26 UTA 19 0 7.1 0.400 0.256 0.615
614 Tristan Thompson PF 29 BOS 54 43 23.8 0.518 0.000 0.523
615 Sindarius Thornwell SG 26 TOT 21 1 10.3 0.326 0.304 0.348
616 Sindarius Thornwell SG 26 NOP 14 1 5.2 0.333 0.333 0.333
617 Sindarius Thornwell SG 26 ORL 7 0 20.6 0.320 0.286 0.364
618 Matisse Thybulle SG 23 PHI 65 8 20.0 0.420 0.301 0.590
619 Killian Tillie C 22 MEM 18 1 10.1 0.333 0.303 0.375
620 Xavier Tillman Sr. PF 22 MEM 59 12 18.4 0.559 0.338 0.620
621 Anthony Tolliver PF 35 PHI 11 0 9.0 0.235 0.286 0.000
622 Obi Toppin PF 22 NYK 62 0 11.0 0.498 0.306 0.629
623 Juan Toscano-Anderson SG 27 GSW 53 16 20.9 0.579 0.402 0.718
624 Axel Toupane SF 28 MIL 8 1 7.6 0.364 0.500 0.333
625 Karl-Anthony Towns C 25 MIN 50 50 33.8 0.486 0.387 0.541
626 Gary Trent Jr. SG 22 TOT 58 38 31.1 0.408 0.385 0.435
627 Gary Trent Jr. SG 22 POR 41 23 30.8 0.414 0.397 0.438
628 Gary Trent Jr. SG 22 TOR 17 15 31.8 0.395 0.355 0.431
629 P.J. Tucker PF 35 TOT 52 33 26.1 0.373 0.336 0.448
630 P.J. Tucker PF 35 HOU 32 32 30.0 0.366 0.314 0.467
631 P.J. Tucker PF 35 MIL 20 1 19.9 0.391 0.394 0.385
632 Rayjon Tucker PG 23 PHI 14 0 4.9 0.500 0.286 0.636
633 Myles Turner C 24 IND 47 47 31.0 0.477 0.335 0.606
634 Jonas Valančiūnas C 28 MEM 62 61 28.3 0.592 0.368 0.611
635 Denzel Valentine SG 27 CHI 62 3 16.7 0.373 0.331 0.431
636 Jarred Vanderbilt PF 21 MIN 64 30 17.8 0.606 0.200 0.615
637 Fred VanVleet SG 26 TOR 52 52 36.5 0.389 0.366 0.416
638 Anderson Varejão C 38 CLE 5 0 7.2 0.250 0.000 0.267
639 Devin Vassell SF 20 SAS 62 7 17.0 0.406 0.347 0.464
640 Gabe Vincent PG 24 MIA 50 7 13.1 0.378 0.309 0.500
641 Noah Vonleh C 25 BRK 4 0 2.8 0.000 0.000 0.000
642 Nikola Vučević C 30 TOT 70 70 33.5 0.477 0.400 0.513
643 Nikola Vučević C 30 ORL 44 44 34.1 0.480 0.406 0.515
644 Nikola Vučević C 30 CHI 26 26 32.6 0.471 0.388 0.509
645 Dean Wade PF 24 CLE 63 19 19.2 0.431 0.366 0.571
646 Moritz Wagner C 23 TOT 45 24 16.0 0.454 0.341 0.529
647 Moritz Wagner C 23 WAS 25 13 15.0 0.508 0.310 0.613
648 Moritz Wagner C 23 BOS 9 1 6.8 0.286 0.333 0.250
649 Moritz Wagner C 23 ORL 11 10 26.0 0.409 0.372 0.440
650 Kemba Walker PG 30 BOS 43 43 31.8 0.420 0.360 0.486
651 Lonnie Walker IV SG 22 SAS 60 38 25.4 0.420 0.355 0.477
652 John Wall PG 30 HOU 40 40 32.2 0.404 0.317 0.449
653 Brad Wanamaker PG 31 TOT 61 0 17.3 0.385 0.188 0.463
654 Brad Wanamaker PG 31 GSW 39 0 16.0 0.353 0.213 0.429
655 Brad Wanamaker PG 31 CHO 22 0 19.5 0.429 0.125 0.500
656 T.J. Warren SF 27 IND 4 4 29.3 0.529 0.000 0.614
657 P.J. Washington PF 22 CHO 64 61 30.5 0.440 0.386 0.480
658 Yuta Watanabe SF 26 TOR 50 4 14.5 0.439 0.400 0.478
659 Tremont Waters PG 23 BOS 26 3 9.2 0.405 0.395 0.413
660 Paul Watson SF 26 TOR 27 2 11.0 0.463 0.469 0.444
661 Quinndary Weatherspoon SG 24 SAS 20 0 6.1 0.457 0.167 0.517
662 Russell Westbrook PG 32 WAS 65 65 36.4 0.439 0.315 0.475
663 Coby White PG 20 CHI 69 54 31.2 0.416 0.359 0.473
664 Derrick White SG 26 SAS 36 32 29.6 0.411 0.346 0.486
665 Hassan Whiteside C 31 SAC 36 4 15.2 0.563 0.000 0.565
666 Greg Whittington PF 27 DEN 4 0 3.0 0.000 0.000 0.000
667 Andrew Wiggins PF 25 GSW 71 71 33.3 0.477 0.380 0.529
668 Grant Williams PF 22 BOS 63 9 18.1 0.437 0.372 0.508
669 Kenrich Williams PF 26 OKC 66 13 21.6 0.533 0.444 0.568
670 Lou Williams PG 34 TOT 66 4 21.6 0.410 0.399 0.414
671 Lou Williams PG 34 LAC 42 3 21.9 0.421 0.378 0.437
672 Lou Williams PG 34 ATL 24 1 21.0 0.389 0.444 0.370
673 Patrick Williams PF 19 CHI 71 71 27.9 0.483 0.391 0.515
674 Robert Williams C 23 BOS 52 13 18.9 0.721 0.000 0.727
675 Zion Williamson PF 20 NOP 61 61 33.2 0.611 0.294 0.622
676 D.J. Wilson PF 24 TOT 35 1 12.4 0.405 0.345 0.469
677 D.J. Wilson PF 24 MIL 12 0 8.8 0.372 0.357 0.400
678 D.J. Wilson PF 24 HOU 23 1 14.3 0.416 0.339 0.485
679 Dylan Windler SF 24 CLE 31 0 16.5 0.438 0.338 0.585
680 Justise Winslow SF 24 MEM 26 1 19.5 0.352 0.185 0.410
681 Cassius Winston PG 22 WAS 22 0 4.5 0.424 0.471 0.375
682 James Wiseman C 19 GSW 39 27 21.4 0.519 0.316 0.542
683 Christian Wood C 25 HOU 41 41 32.3 0.514 0.374 0.581
684 Robert Woodard II SF 21 SAC 13 0 3.5 0.400 0.167 0.500
685 Delon Wright SG 28 DET 36 31 29.2 0.464 0.348 0.515
686 Delon Wright PG 28 SAC 27 8 25.8 0.462 0.398 0.500
687 Thaddeus Young PF 32 CHI 68 23 24.3 0.559 0.267 0.580
688 Trae Young PG 22 ATL 63 63 33.7 0.438 0.343 0.491
689 Cody Zeller C 28 CHO 48 21 20.9 0.559 0.143 0.598
690 Ivica Zubac C 23 LAC 72 33 22.3 0.652 0.250 0.656
efg_pct ft_pct ORB DRB TRB AST STL BLK TOV PF PTS
1 0.544 0.509 1.2 2.2 3.4 0.5 0.3 0.5 0.7 1.5 5.0
2 0.125 NA 0.0 0.4 0.4 0.3 0.0 0.0 0.0 0.1 0.3
3 0.614 0.444 3.7 5.2 8.9 1.9 0.9 0.7 1.3 1.9 7.6
4 0.571 0.799 2.2 6.7 9.0 5.4 1.2 1.0 2.6 2.3 18.7
5 0.525 0.872 0.7 3.8 4.5 1.9 0.4 1.1 1.0 1.8 13.5
6 0.518 0.838 0.8 3.7 4.5 1.7 0.4 0.9 1.0 1.7 13.7
7 0.563 1.000 0.4 4.4 4.8 2.6 0.6 2.2 1.4 2.2 12.8
8 0.333 0.500 0.1 0.5 0.7 0.4 0.0 0.1 0.2 0.1 0.6
9 0.502 0.727 0.3 2.8 3.1 2.2 1.0 0.5 1.5 1.9 11.0
10 0.547 0.868 0.4 2.8 3.2 2.2 0.9 0.2 1.0 1.4 10.6
11 0.624 0.703 3.1 6.9 10.0 1.7 0.5 1.4 1.6 1.5 12.8
12 0.677 0.754 3.2 7.3 10.4 1.7 0.6 1.6 1.8 1.8 11.2
13 0.616 0.690 3.1 6.8 9.9 1.7 0.5 1.4 1.5 1.5 13.2
14 0.424 0.818 1.0 3.8 4.8 1.3 0.8 0.4 1.2 1.3 4.4
15 0.444 0.824 1.2 4.2 5.4 1.7 1.0 0.5 1.5 1.3 5.5
16 0.250 0.800 0.3 2.8 3.2 0.3 0.3 0.0 0.5 1.2 1.5
17 0.540 0.783 0.8 5.0 5.7 3.6 1.2 0.8 1.2 1.7 12.4
18 0.600 0.685 1.6 9.4 11.0 5.9 1.2 1.2 3.4 2.8 28.1
19 0.300 0.462 0.3 1.0 1.3 0.1 0.1 0.3 0.7 0.5 0.8
20 0.515 0.510 0.9 1.2 2.2 0.8 0.4 0.2 0.8 1.3 2.9
21 0.506 0.890 0.5 2.6 3.1 1.5 0.7 0.6 0.9 2.1 13.4
22 0.449 0.832 0.8 3.9 4.7 4.1 0.6 0.4 2.3 2.1 12.9
23 0.580 0.784 1.3 4.3 5.5 2.2 1.5 0.7 1.7 2.7 15.9
24 0.526 0.650 0.1 1.4 1.5 1.3 0.2 0.0 0.2 1.1 3.1
25 0.515 0.773 0.9 3.9 4.8 1.8 1.0 0.6 0.7 1.8 9.4
26 0.515 0.904 0.4 1.3 1.6 3.3 0.5 0.0 1.1 1.0 7.7
27 0.497 0.900 0.3 1.1 1.4 3.0 0.5 0.0 0.9 0.9 6.1
28 0.536 0.907 0.5 1.8 2.2 3.9 0.4 0.0 1.6 1.2 10.6
29 0.502 0.644 0.4 4.4 4.9 1.2 0.6 0.3 0.6 2.6 6.3
30 0.629 0.769 3.3 7.2 10.5 1.4 0.6 1.2 1.5 2.8 14.4
31 0.444 0.800 0.3 0.6 0.9 0.0 0.1 0.3 0.2 0.6 1.1
32 0.443 0.824 0.4 2.7 3.1 1.3 0.6 0.1 0.6 1.4 10.9
33 0.542 0.575 2.5 4.9 7.4 1.0 0.5 0.5 1.4 2.3 14.1
34 0.504 0.758 1.2 4.7 5.9 6.1 1.6 0.4 2.8 2.7 15.7
35 0.537 0.781 0.6 4.2 4.8 5.7 1.5 0.6 2.2 1.9 14.6
36 0.535 0.682 1.7 4.1 5.8 0.8 0.3 1.3 0.8 1.9 8.0
37 0.586 0.816 0.5 2.6 3.1 1.7 0.6 0.2 0.9 1.8 9.2
38 0.575 0.830 1.1 5.5 6.6 3.5 0.7 0.2 1.6 1.3 16.1
39 0.499 0.746 0.9 4.8 5.8 3.0 0.7 0.3 1.9 2.6 17.6
40 0.507 0.785 0.7 3.3 4.0 3.2 0.9 0.4 1.7 1.7 12.7
41 0.485 0.667 0.3 1.3 1.6 0.4 0.4 0.2 0.2 0.4 2.6
42 0.597 0.828 0.7 4.0 4.7 2.2 1.0 0.6 0.8 1.5 8.1
43 0.485 0.707 1.6 3.5 5.2 0.9 0.3 0.4 0.9 2.2 6.1
44 0.545 0.692 0.4 3.0 3.4 1.6 1.0 0.5 1.2 2.4 7.2
45 0.456 0.702 0.9 6.3 7.2 1.8 0.5 0.5 2.2 1.1 13.7
46 0.532 0.889 1.2 3.5 4.7 4.4 1.2 0.4 3.1 2.3 31.3
47 0.547 0.850 0.8 3.6 4.4 2.4 0.8 0.2 1.6 1.7 19.6
48 0.318 0.500 1.2 2.8 4.0 1.2 0.5 0.8 0.7 1.2 2.5
49 0.350 NA 1.2 2.6 3.8 1.0 0.6 0.6 0.6 1.0 2.8
50 0.000 0.500 1.0 4.0 5.0 2.0 0.0 2.0 1.0 2.0 1.0
51 0.544 0.682 0.6 2.2 2.9 2.1 1.0 0.4 1.4 1.7 5.7
52 0.581 0.870 0.3 2.6 2.9 0.9 0.6 0.2 0.6 2.4 11.5
53 0.550 0.800 0.8 2.4 3.2 2.1 0.8 0.8 0.9 2.9 7.5
54 0.530 0.844 0.6 3.9 4.5 1.4 0.7 0.2 0.9 1.6 12.2
55 0.341 0.600 0.4 0.6 1.1 0.2 0.0 0.1 0.2 0.3 1.0
56 0.514 0.705 2.6 3.2 5.8 1.3 0.7 0.7 0.7 1.7 7.2
57 0.459 0.741 2.4 2.6 5.1 1.1 0.7 0.6 0.5 1.4 5.3
58 0.582 0.636 3.0 4.6 7.6 1.9 0.8 1.2 1.1 2.4 11.9
59 0.479 0.738 1.3 2.0 3.3 0.8 0.2 1.3 0.4 2.1 5.1
60 0.587 0.448 2.1 3.2 5.3 1.2 0.3 1.1 1.1 2.1 5.0
61 0.523 0.725 0.8 2.6 3.4 1.9 0.4 0.1 0.9 1.8 6.5
62 0.517 0.762 0.9 2.9 3.8 1.9 0.3 0.1 1.1 1.8 7.2
63 0.543 0.556 0.5 2.0 2.5 1.8 0.6 0.3 0.5 1.8 5.0
64 0.503 0.687 0.4 3.0 3.4 3.8 0.8 0.3 1.6 1.6 12.2
65 0.300 NA 0.2 0.4 0.6 0.2 0.1 0.0 0.3 0.5 0.7
66 0.602 0.909 0.5 3.2 3.6 3.3 1.1 0.3 1.2 2.3 16.4
67 0.536 0.879 0.6 3.3 3.9 1.9 0.6 0.1 1.8 1.6 17.0
68 0.509 0.667 0.0 0.8 0.8 0.2 0.1 0.3 0.4 0.4 2.2
69 0.333 0.625 0.5 0.5 1.0 0.0 0.3 0.3 0.3 0.0 1.2
70 0.519 NA 0.3 1.4 1.7 1.3 0.1 0.0 0.2 0.8 4.0
71 0.451 0.625 0.5 1.2 1.7 0.6 0.3 0.2 0.6 1.6 2.0
72 0.533 0.867 0.5 3.7 4.2 4.3 0.8 0.2 3.1 2.7 25.6
73 0.595 0.788 2.0 4.8 6.7 1.1 0.6 1.9 0.8 2.8 13.6
74 0.250 1.000 0.0 0.5 0.5 0.0 0.0 0.0 0.0 0.2 0.5
75 0.471 0.800 0.3 1.8 2.1 1.7 0.8 0.1 1.0 2.0 6.4
76 0.591 0.778 0.2 1.6 1.8 1.4 0.7 0.1 0.9 2.6 8.5
77 0.395 0.833 0.4 1.9 2.3 1.9 0.8 0.1 1.1 1.7 5.2
78 0.665 0.691 2.0 3.7 5.7 0.9 0.4 0.7 0.8 1.5 7.1
79 0.680 0.636 2.0 3.3 5.2 0.9 0.3 0.7 0.3 1.4 5.5
80 0.656 0.705 2.1 4.0 6.1 0.9 0.4 0.8 1.2 1.5 8.7
81 0.596 1.000 0.3 0.6 1.0 0.5 0.3 0.1 0.3 0.6 2.3
82 0.488 0.714 0.8 2.6 3.5 1.3 0.3 0.2 0.9 1.7 7.0
83 0.000 1.000 0.3 0.3 0.5 0.3 0.0 0.0 0.3 0.0 0.5
84 0.000 NA 0.0 2.0 2.0 0.0 0.0 0.0 0.0 0.0 0.0
85 0.513 0.667 1.3 3.9 5.1 2.0 0.5 0.4 1.4 2.8 11.1
86 0.643 0.840 1.1 3.2 4.3 2.1 1.1 0.9 0.8 1.6 13.5
87 0.596 0.867 1.2 4.8 6.0 2.2 0.7 0.8 1.6 2.2 12.7
88 0.625 1.000 0.4 1.2 1.6 0.2 0.0 1.0 0.8 0.8 2.6
89 0.593 0.769 1.4 4.1 5.5 0.9 0.9 1.0 0.5 1.5 10.9
90 0.527 0.864 1.0 4.2 5.3 5.9 0.9 0.3 2.1 2.0 21.2
91 0.563 0.583 0.5 2.9 3.4 1.5 0.6 0.3 1.1 1.7 11.2
92 0.481 0.815 0.8 2.1 2.9 2.3 1.2 0.4 1.8 3.5 17.2
93 0.576 0.735 1.7 3.7 5.4 1.6 0.9 0.4 0.8 2.2 8.8
94 0.360 0.900 0.3 1.6 1.9 1.0 0.4 0.2 0.7 2.1 4.4
95 0.558 0.764 1.2 4.8 6.0 3.4 1.2 0.6 2.7 2.9 24.7
96 0.545 0.619 3.6 5.3 8.9 0.2 0.7 1.1 1.0 2.2 8.6
97 0.584 0.806 0.7 3.6 4.4 1.4 0.7 0.2 0.8 1.9 8.2
98 0.507 0.714 0.6 2.5 3.1 0.9 0.3 0.2 0.6 1.4 4.7
99 0.449 0.667 0.5 2.4 2.9 0.9 0.1 0.2 0.8 1.4 4.3
100 0.600 0.833 0.7 2.7 3.4 0.8 0.5 0.2 0.4 1.5 5.5
101 0.588 0.795 0.4 3.0 3.4 3.5 0.5 0.0 1.2 1.6 12.6
102 0.500 1.000 2.0 4.0 6.0 3.0 0.0 1.0 4.0 4.0 16.0
103 0.698 0.667 1.8 4.3 6.1 1.5 0.4 0.8 1.1 3.1 14.3
104 0.587 0.909 0.2 3.2 3.4 1.5 0.8 0.2 0.7 2.2 10.9
105 0.510 0.895 0.2 0.7 0.9 1.3 0.6 0.1 0.5 1.0 6.6
106 0.522 0.856 0.4 4.2 4.6 2.2 0.6 0.3 1.0 2.1 12.7
107 0.514 0.863 1.8 5.1 6.9 7.1 2.1 0.3 2.1 1.4 21.5
108 0.471 0.500 0.5 1.8 2.3 0.2 0.0 0.3 0.7 1.0 2.8
109 0.586 0.455 0.6 1.0 1.6 0.1 0.3 0.2 0.3 0.4 2.0
110 0.549 0.866 0.4 2.3 2.7 1.9 0.9 0.4 1.0 1.7 9.7
111 0.502 0.879 0.3 1.7 2.1 3.6 1.2 0.2 1.1 2.0 6.1
112 0.521 0.769 0.3 1.0 1.2 0.3 0.3 0.0 0.3 0.4 2.1
113 0.500 0.857 0.0 0.6 0.6 0.1 0.6 0.1 0.3 1.1 4.3
114 0.594 0.573 4.7 9.6 14.3 0.8 0.7 2.0 1.2 2.3 15.2
115 0.514 0.818 0.3 1.1 1.4 0.1 0.1 0.3 0.3 0.7 2.4
116 0.547 0.571 0.3 1.3 1.5 1.2 0.5 0.2 0.3 0.9 4.1
117 0.520 0.732 2.4 5.8 8.2 1.9 0.6 0.8 1.4 2.7 11.2
118 0.528 0.739 2.2 5.6 7.8 2.2 0.6 0.8 1.5 3.0 10.9
119 0.510 0.721 2.8 6.0 8.8 1.6 0.8 0.8 1.3 2.3 11.7
120 0.417 0.613 1.3 3.2 4.5 4.2 0.8 0.5 2.2 2.6 8.8
121 0.526 0.645 0.5 2.4 2.9 2.8 1.1 0.3 1.3 1.9 6.4
122 0.635 0.628 1.2 3.2 4.5 0.7 0.4 0.8 0.5 2.4 5.3
123 0.426 0.765 0.1 1.0 1.1 3.0 0.3 0.3 0.7 0.9 4.0
124 0.393 0.500 1.5 5.0 6.5 1.0 0.0 1.0 1.0 1.5 6.5
125 0.424 0.800 0.9 2.3 3.2 0.9 0.3 0.2 0.5 1.0 3.4
126 NA NA 0.0 0.5 0.5 0.0 0.0 0.0 0.0 0.0 0.0
127 0.000 NA 0.0 1.0 1.0 0.5 0.5 0.0 0.0 0.5 0.0
128 0.537 0.690 1.6 3.9 5.6 1.6 1.0 0.9 0.6 1.4 10.3
129 0.522 0.896 0.7 3.3 4.0 2.5 0.9 0.1 1.7 1.6 18.4
130 0.624 0.484 1.3 3.8 5.2 0.9 0.7 1.3 0.6 2.1 6.6
131 0.549 0.711 0.2 0.8 1.0 0.5 0.2 0.0 0.3 0.7 3.2
132 0.610 0.833 1.9 5.5 7.4 1.2 0.5 1.0 1.3 3.1 17.6
133 0.552 0.852 0.7 2.8 3.5 6.0 1.4 0.2 1.9 1.9 16.2
134 0.565 0.775 0.9 3.9 4.8 1.2 0.7 0.3 0.5 1.4 6.8
135 0.507 0.875 0.1 0.7 0.7 0.8 0.2 0.0 0.3 0.4 3.3
136 0.558 0.800 0.0 0.3 0.3 0.3 0.1 0.1 0.2 0.1 2.1
137 0.476 1.000 0.3 1.4 1.7 1.9 0.4 0.0 0.6 1.1 6.1
138 0.333 NA 0.3 0.3 0.5 0.5 0.0 0.0 0.3 0.5 0.5
139 0.685 0.486 1.0 2.4 3.3 0.5 0.3 0.1 0.7 1.2 5.5
140 0.503 0.728 1.3 5.1 6.4 1.9 0.8 0.6 1.6 2.6 8.9
141 0.469 0.746 1.2 6.4 7.6 2.4 0.8 0.7 1.6 3.0 9.6
142 0.579 0.682 1.4 3.1 4.5 1.0 0.8 0.4 1.6 2.1 7.8
143 0.533 0.806 0.9 5.8 6.7 1.7 1.4 1.2 0.9 2.8 8.5
144 0.566 0.773 1.1 2.8 3.9 1.0 0.6 0.5 0.5 1.7 5.5
145 0.478 0.500 0.7 1.7 2.4 0.9 0.5 0.4 0.3 1.3 2.5
146 0.588 0.800 1.4 3.4 4.8 1.0 0.6 0.6 0.6 1.8 7.2
147 0.555 0.760 0.5 4.2 4.7 2.1 0.8 0.5 0.9 2.1 10.1
148 0.449 0.604 1.0 2.1 3.1 0.7 0.5 0.3 0.8 1.7 5.3
149 0.582 0.896 0.2 2.2 2.4 2.7 0.8 0.1 1.1 1.7 12.5
150 0.605 0.916 0.5 5.0 5.5 5.8 1.2 0.1 3.4 1.9 32.0
151 0.429 1.000 0.1 0.0 0.1 0.1 0.0 0.1 0.1 0.1 1.3
152 0.512 0.738 1.7 6.2 7.9 3.1 1.3 1.6 2.1 1.7 21.8
153 0.432 0.833 2.0 3.0 5.0 0.9 0.6 0.6 0.3 2.4 2.1
154 0.535 0.818 0.3 2.2 2.5 1.4 0.7 0.2 1.0 1.6 8.7
155 0.519 0.889 0.3 1.7 1.9 1.1 0.5 0.2 0.9 1.4 6.9
156 0.549 0.784 0.4 2.9 3.3 1.7 1.0 0.3 1.3 1.8 11.1
157 0.493 0.818 1.6 2.4 4.0 2.4 0.8 0.0 0.6 0.9 8.4
158 0.715 0.741 1.8 3.6 5.4 0.8 0.6 0.4 0.8 2.3 7.1
159 0.286 1.000 0.5 1.4 1.8 4.5 0.3 0.1 0.5 1.6 2.8
160 0.505 0.880 0.7 3.6 4.2 6.9 0.9 0.2 2.0 2.1 21.6
161 0.413 0.786 0.6 1.9 2.4 0.6 0.5 0.4 0.2 1.1 3.1
162 0.502 0.629 1.2 4.0 5.2 2.4 1.0 0.4 1.5 2.6 11.9
163 0.514 0.662 1.1 4.3 5.4 1.2 0.5 0.6 1.4 2.6 11.2
164 0.613 0.866 1.1 2.6 3.7 1.3 0.7 0.4 0.8 1.5 6.8
165 0.625 0.884 1.3 3.2 4.5 1.3 0.8 0.6 1.0 1.7 7.9
166 0.591 0.833 0.8 1.9 2.6 1.2 0.6 0.1 0.6 1.1 5.3
167 0.438 1.000 0.0 4.3 4.3 3.0 0.7 0.3 1.7 1.3 6.7
168 0.528 0.718 1.2 4.5 5.8 3.1 1.1 0.2 1.4 1.7 10.4
169 0.550 0.730 0.8 7.2 8.0 8.6 1.0 0.5 4.3 2.3 27.7
170 0.475 0.744 0.7 2.9 3.6 1.7 0.9 0.4 1.5 2.6 14.0
171 0.485 0.667 0.1 1.9 2.0 2.0 0.3 0.1 0.9 0.9 6.7
172 0.548 NA 0.2 0.3 0.5 0.6 0.4 0.0 0.0 0.3 2.1
173 0.426 0.703 0.7 1.9 2.6 0.8 0.4 0.2 0.8 1.7 5.1
174 0.483 0.636 0.7 2.9 3.6 1.8 0.6 0.4 0.9 1.7 7.7
175 0.514 0.828 0.5 2.9 3.4 4.4 0.7 0.2 2.4 2.3 13.4
176 0.493 0.600 3.6 8.4 12.0 2.0 1.4 1.1 2.7 3.2 14.9
177 0.474 0.597 4.0 9.4 13.5 2.6 1.6 1.2 3.2 2.8 17.5
178 0.531 0.605 3.1 7.1 10.2 1.4 1.1 1.0 2.0 3.8 11.9
179 0.333 NA 0.3 1.4 1.8 0.4 0.1 0.1 0.2 0.6 0.5
180 0.083 0.750 0.0 1.5 1.5 0.5 0.5 0.5 0.8 2.5 1.3
181 0.608 0.882 0.4 6.7 7.1 5.6 0.7 1.3 3.4 2.0 26.9
182 0.488 0.776 0.8 3.8 4.7 2.9 1.1 0.5 2.2 1.8 19.3
183 0.505 0.846 0.1 0.7 0.8 0.5 0.2 0.0 0.2 0.8 4.0
184 0.432 0.733 0.4 0.7 1.1 0.3 0.2 0.1 0.2 0.9 2.3
185 0.429 0.750 1.5 4.5 6.0 2.5 0.0 0.0 0.0 3.5 7.5
186 0.612 0.800 0.3 1.6 1.8 1.5 0.4 0.2 0.7 1.3 9.6
187 0.545 0.859 2.2 8.4 10.6 2.8 1.0 1.4 3.1 2.4 28.5
188 0.566 0.805 1.0 3.0 4.0 1.5 0.8 0.2 0.9 2.0 8.4
189 0.571 0.726 1.4 3.1 4.5 0.8 0.3 0.9 0.8 1.6 5.8
190 0.423 0.500 0.3 2.5 2.8 2.2 0.7 0.3 1.2 1.5 3.8
191 0.724 0.333 0.8 1.9 2.7 0.2 0.1 1.1 0.3 1.2 2.5
192 0.638 0.738 2.0 3.5 5.5 0.6 0.5 1.0 0.5 2.1 5.4
193 0.538 0.563 0.6 0.9 1.4 0.5 0.2 0.0 0.2 0.6 1.3
194 0.143 NA 0.0 0.1 0.1 0.2 0.1 0.0 0.3 0.5 0.2
195 0.409 0.682 0.5 1.9 2.4 0.3 0.1 0.1 0.6 0.7 1.5
196 0.430 0.778 0.5 1.4 1.9 2.2 0.7 0.3 0.3 1.1 5.6
197 0.452 0.000 1.5 2.0 3.5 2.5 1.5 0.5 1.5 2.0 9.5
198 0.417 1.000 0.3 1.3 1.5 2.1 0.5 0.3 0.0 0.9 4.6
199 0.600 0.756 1.6 3.8 5.4 1.7 0.9 0.4 0.8 2.3 9.8
200 0.500 NA 0.0 1.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0
201 0.453 0.804 0.2 2.3 2.5 2.9 0.8 0.1 0.9 1.4 7.5
202 0.618 0.770 0.2 1.4 1.6 0.6 0.3 0.0 0.6 1.1 10.0
203 0.486 1.000 0.4 1.1 1.5 1.5 0.3 0.1 0.7 0.7 2.9
204 0.560 0.797 0.2 2.7 2.9 3.7 1.0 0.3 2.1 2.1 19.7
205 0.576 0.714 0.3 3.0 3.3 3.1 1.3 0.6 1.2 2.6 13.0
206 0.523 0.719 0.6 2.9 3.5 7.2 1.5 0.5 3.0 2.9 25.2
207 0.554 0.923 0.9 1.1 2.0 0.7 0.4 0.4 0.3 1.1 6.1
208 0.150 0.333 0.0 1.6 1.6 3.2 0.4 0.2 0.8 1.4 1.6
209 0.605 0.774 3.9 7.1 11.0 1.2 0.5 0.7 1.1 2.3 11.2
210 0.413 0.895 0.6 2.5 3.1 5.4 1.0 0.3 2.3 2.3 12.9
211 0.508 0.647 1.0 1.6 2.6 0.5 0.4 0.4 0.7 1.5 3.4
212 0.690 0.659 1.4 1.9 3.3 0.5 0.4 1.1 0.7 1.7 4.7
213 0.681 0.672 2.2 3.4 5.6 0.5 0.7 1.8 0.8 1.9 10.1
214 0.542 0.925 0.3 3.8 4.1 1.5 0.6 0.2 0.8 2.1 13.3
215 0.571 0.957 0.2 0.9 1.1 0.7 0.2 0.0 0.3 0.6 4.8
216 0.517 0.848 0.4 2.0 2.4 6.1 1.2 0.1 3.0 2.0 17.4
217 0.582 0.720 0.7 3.4 4.1 2.1 0.5 1.1 1.0 2.2 5.0
218 0.505 0.804 0.7 4.1 4.8 1.4 0.7 0.6 1.0 1.8 11.4
219 0.557 0.868 0.8 5.8 6.6 5.2 1.1 0.4 3.3 2.4 23.3
220 0.636 0.727 2.2 3.4 5.6 0.8 0.7 1.1 0.5 2.2 5.4
221 0.474 0.593 0.8 2.7 3.5 0.8 0.2 0.3 0.5 1.4 2.8
222 0.571 0.808 0.5 4.2 4.7 5.9 0.8 0.7 3.0 2.0 23.7
223 0.558 0.813 0.6 1.3 2.0 0.4 0.4 0.2 0.3 1.0 3.1
224 0.524 0.697 2.1 2.8 4.9 0.5 0.7 1.0 0.6 2.2 5.6
225 0.675 0.623 3.4 10.1 13.5 1.3 0.6 2.7 1.7 2.3 14.3
226 0.448 0.651 0.2 1.3 1.5 2.0 0.4 0.0 0.8 0.9 4.9
227 0.522 0.651 1.5 4.1 5.7 3.2 0.7 0.7 1.9 1.8 12.4
228 0.509 0.629 1.6 5.1 6.6 4.2 0.6 0.8 2.7 2.0 14.6
229 0.541 0.705 1.5 3.2 4.7 2.2 0.7 0.6 1.2 1.6 10.2
230 0.527 0.825 0.3 1.9 2.1 2.6 0.5 0.5 1.9 1.6 17.8
231 0.510 0.842 0.4 2.3 2.7 5.4 0.9 0.1 1.5 1.4 14.8
232 0.491 0.845 0.6 4.0 4.6 2.8 0.6 1.1 2.0 2.3 22.3
233 0.573 0.775 0.8 3.0 3.8 1.7 1.3 0.8 1.0 1.8 9.5
234 0.492 0.795 0.9 6.3 7.1 8.9 1.7 0.8 3.0 3.1 7.0
235 0.568 0.807 1.5 3.3 4.8 0.9 0.4 0.4 0.9 2.5 8.1
236 0.599 0.667 0.8 1.3 2.1 0.4 0.7 0.1 0.5 1.3 4.2
237 0.500 1.000 0.4 0.8 1.2 0.4 0.6 0.3 0.4 0.8 2.6
238 0.590 0.776 0.5 3.4 3.9 1.6 0.5 0.4 0.8 1.8 11.0
239 0.473 0.565 0.7 1.3 2.0 0.7 0.4 0.1 0.4 0.9 2.6
240 0.509 0.744 0.8 4.1 4.9 3.0 0.7 0.3 1.3 2.4 11.0
241 0.453 0.710 0.4 4.9 5.2 3.9 0.7 0.1 1.6 2.1 12.3
242 0.574 0.782 1.1 3.6 4.7 2.4 0.7 0.5 1.2 2.7 10.0
243 0.403 0.800 0.2 1.0 1.1 1.0 0.2 0.0 0.4 0.6 2.8
244 0.513 0.770 0.9 4.6 5.5 1.4 0.8 0.1 1.2 2.1 13.8
245 NA NA 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.0
246 0.569 0.857 0.7 2.3 3.0 5.3 1.3 0.5 1.6 1.4 13.0
247 0.714 0.676 1.8 2.9 4.8 0.8 0.4 0.8 0.6 1.4 5.6
248 0.323 0.500 0.3 2.5 2.8 1.3 0.2 0.0 1.2 1.8 4.1
249 0.458 0.750 0.4 1.6 2.0 0.6 0.2 0.1 0.4 0.9 2.6
250 0.482 0.657 0.7 4.2 5.0 2.8 0.6 0.3 1.6 1.5 11.2
251 0.560 0.816 0.3 3.0 3.3 1.8 0.4 0.2 0.9 1.6 16.6
252 0.548 0.861 0.8 7.1 7.9 10.8 1.2 0.8 4.0 2.3 24.6
253 0.537 0.883 0.6 4.5 5.1 10.4 0.9 0.8 4.3 1.8 24.8
254 0.551 0.856 0.8 7.7 8.5 10.9 1.3 0.8 4.0 2.4 24.6
255 0.577 0.000 0.2 1.0 1.2 0.6 0.2 0.4 0.3 1.3 1.4
256 0.480 0.805 0.4 2.5 2.9 1.4 1.1 0.6 0.7 2.8 6.9
257 0.000 0.750 0.0 0.3 0.3 0.1 0.0 0.0 0.4 0.1 0.4
258 0.622 0.707 2.3 3.9 6.2 1.1 0.7 0.7 1.1 1.9 13.5
259 0.470 0.821 0.5 1.5 2.0 2.0 0.7 0.3 0.9 1.8 9.9
260 0.519 0.733 0.7 1.8 2.5 1.7 0.9 0.2 0.7 1.9 9.7
261 0.429 0.875 0.4 1.2 1.6 2.3 0.6 0.4 1.2 1.7 10.2
262 0.618 0.778 0.2 1.2 1.4 1.3 0.6 0.0 1.1 1.2 7.4
263 0.654 0.778 0.6 3.0 3.6 1.9 0.7 0.2 0.9 2.0 14.1
264 0.556 0.892 1.0 5.8 6.8 3.5 0.9 0.8 1.7 1.9 19.5
265 0.353 0.818 0.2 1.2 1.4 0.7 0.5 0.1 0.3 1.0 2.1
266 0.300 0.833 0.2 0.4 0.5 0.5 0.1 0.0 0.3 0.2 1.0
267 0.371 0.813 0.2 2.1 2.3 0.9 0.9 0.3 0.4 1.8 3.3
268 0.531 0.775 1.1 6.9 8.0 2.3 0.8 0.3 1.0 2.4 9.2
269 0.556 0.648 1.4 2.5 3.9 1.2 0.4 0.8 1.0 2.3 5.1
270 0.513 0.611 1.3 1.5 2.8 0.5 0.4 0.7 0.7 2.0 3.5
271 0.593 0.686 1.6 4.4 6.0 2.5 0.5 1.2 1.4 2.8 8.3
272 1.000 NA 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 4.0
273 0.636 0.775 1.5 2.8 4.3 0.6 0.4 0.6 0.7 1.7 7.5
274 0.403 0.824 0.2 2.4 2.7 5.3 1.0 0.4 3.2 2.2 6.8
275 0.537 0.843 0.8 5.0 5.9 4.1 1.2 0.3 2.1 1.7 19.6
276 0.527 0.619 0.9 3.1 3.9 0.7 0.4 0.1 0.5 1.0 7.2
277 0.565 0.667 2.5 4.6 7.1 1.1 0.5 0.5 0.7 1.4 7.8
278 0.516 0.803 0.5 4.5 5.0 3.4 0.6 0.3 1.9 1.3 15.1
279 0.548 0.846 0.4 4.3 4.7 3.6 0.9 0.4 1.8 2.5 16.6
280 0.561 0.800 0.5 1.5 2.0 2.4 0.8 0.2 1.0 1.0 8.7
281 0.600 0.840 0.6 1.5 2.1 3.1 0.9 0.1 0.9 0.9 11.8
282 0.500 0.760 0.5 1.5 2.0 1.9 0.7 0.2 1.2 1.2 6.0
283 0.473 0.761 0.6 2.4 3.0 1.1 0.7 0.2 0.6 1.6 4.5
284 0.405 0.700 0.0 0.4 0.4 0.4 0.3 0.1 0.2 0.4 2.0
285 0.500 0.683 1.1 2.3 3.4 1.3 0.7 0.3 0.9 1.0 6.1
286 0.467 0.819 0.2 1.1 1.3 1.9 0.7 0.2 1.0 1.4 7.2
287 0.570 0.787 1.2 3.3 4.5 6.1 1.6 0.6 2.2 1.7 17.7
288 0.551 0.788 0.4 3.1 3.6 1.7 1.0 0.6 0.8 1.9 10.5
289 0.500 0.563 1.0 1.4 2.4 1.2 0.2 0.4 0.2 1.4 2.5
290 0.638 0.794 2.4 5.9 8.3 1.7 0.6 1.6 1.2 3.5 14.2
291 0.427 0.857 0.4 1.5 1.9 1.0 0.4 0.1 0.7 1.3 4.5
292 0.425 0.750 0.5 1.4 1.9 1.2 0.5 0.1 0.8 1.6 4.7
293 0.432 0.938 0.3 1.5 1.8 0.4 0.2 0.2 0.3 0.9 3.9
294 0.528 0.818 1.0 5.7 6.7 3.4 0.9 0.9 1.0 1.7 14.2
295 0.496 0.775 0.4 2.2 2.6 2.8 1.0 0.3 1.6 2.0 9.0
296 0.504 0.651 0.5 3.2 3.7 1.9 0.6 0.4 1.0 1.9 8.8
297 0.596 0.576 2.8 5.7 8.4 0.9 0.4 0.9 1.6 2.9 7.0
298 0.462 0.778 0.0 0.5 0.6 0.5 0.1 0.0 0.5 0.6 2.8
299 0.528 0.781 0.6 2.8 3.3 3.5 1.2 0.3 1.1 2.4 11.9
300 0.467 0.750 0.1 0.4 0.5 0.3 0.1 0.1 0.3 0.1 1.7
301 0.546 0.859 0.7 4.0 4.8 1.9 0.8 0.5 1.3 2.6 15.0
302 0.417 0.840 0.2 2.9 3.1 0.7 0.5 0.2 0.8 1.3 4.3
303 0.306 1.000 0.1 2.7 2.9 0.6 0.1 0.0 0.7 1.3 1.9
304 0.441 0.826 0.3 2.9 3.2 0.7 0.6 0.3 0.8 1.3 5.2
305 0.563 0.811 1.8 4.9 6.7 1.8 0.2 1.1 1.1 1.9 11.1
306 0.504 0.658 0.6 2.9 3.5 2.3 0.9 0.6 1.1 1.4 4.4
307 0.556 1.000 0.4 1.3 1.7 0.2 0.6 0.2 0.5 1.7 3.8
308 0.652 0.844 0.4 3.2 3.6 4.7 0.7 0.2 1.7 1.8 12.1
309 0.531 0.878 0.6 4.3 4.9 4.9 0.7 0.6 2.5 2.0 23.8
310 0.576 0.922 1.0 3.8 4.8 6.0 1.4 0.7 2.4 2.6 26.9
311 0.358 0.839 0.4 1.8 2.2 0.4 0.4 0.1 0.5 1.2 2.4
312 0.356 0.857 0.3 1.7 1.9 0.4 0.4 0.1 0.3 1.1 2.1
313 0.360 0.824 0.5 2.1 2.6 0.4 0.3 0.1 0.7 1.3 2.8
314 0.561 0.813 0.4 1.8 2.2 0.9 0.4 0.0 0.9 1.3 9.8
315 0.492 0.833 1.5 4.1 5.6 1.1 1.1 1.6 1.4 3.8 14.4
316 0.473 0.729 0.9 3.2 4.1 2.3 0.9 0.8 2.3 2.9 13.4
317 0.484 0.838 0.5 1.8 2.3 1.5 0.4 0.1 0.9 0.9 7.2
318 0.486 0.857 0.4 1.7 2.2 1.5 0.5 0.1 0.9 0.9 7.2
319 0.444 0.500 2.0 4.0 6.0 1.0 0.0 0.0 1.0 1.0 9.0
320 0.554 0.817 0.4 2.5 2.9 3.1 0.6 0.1 1.1 1.9 10.7
321 0.532 0.583 0.3 0.6 0.8 0.6 0.2 0.1 0.4 0.6 3.9
322 0.576 0.698 0.6 7.0 7.7 7.8 1.1 0.6 3.7 1.6 25.0
323 0.429 0.778 0.2 2.2 2.5 4.2 0.5 0.1 1.5 0.8 7.7
324 0.500 0.875 0.6 1.7 2.3 0.7 0.5 0.3 0.5 1.5 4.1
325 0.500 0.857 0.5 1.1 1.6 0.3 0.4 0.2 0.4 1.3 3.5
326 0.500 1.000 0.8 2.5 3.2 1.2 0.6 0.5 0.5 1.9 4.9
327 0.570 0.765 0.3 2.5 2.8 3.6 0.6 0.2 1.4 1.8 10.7
328 0.508 0.750 0.1 0.7 0.9 0.5 0.3 0.1 0.3 0.8 3.7
329 0.596 1.000 1.5 3.5 5.0 0.8 0.3 0.3 0.5 0.9 5.2
330 0.541 0.847 0.6 2.8 3.3 1.4 0.6 0.3 0.7 1.4 9.6
331 0.494 0.592 0.6 2.8 3.5 1.9 0.8 0.8 1.1 2.4 7.2
332 0.514 0.586 0.5 2.5 3.0 1.7 0.8 0.8 0.9 2.0 5.7
333 0.478 0.596 0.8 3.3 4.1 2.2 0.8 0.9 1.3 2.8 9.2
334 0.522 0.740 1.3 4.6 6.0 1.8 0.6 0.3 1.1 2.1 12.8
335 0.479 0.800 0.5 2.0 2.5 1.5 0.9 0.3 0.9 1.9 4.4
336 0.525 0.857 0.2 1.8 2.0 1.2 0.4 0.0 0.4 1.1 5.4
337 0.602 0.868 2.8 8.0 10.8 8.3 1.3 0.7 3.1 2.7 26.4
338 0.684 0.724 0.9 2.2 3.1 0.7 0.3 0.7 0.7 2.0 4.7
339 0.500 0.545 0.5 0.8 1.3 0.3 0.1 0.4 0.4 1.4 1.6
340 0.941 0.917 1.0 2.3 3.3 0.1 0.1 0.9 0.6 2.8 5.4
341 0.664 0.714 1.2 3.3 4.5 1.4 0.5 1.0 0.9 2.1 6.9
342 0.554 0.648 1.3 2.2 3.5 0.8 0.6 0.9 0.6 2.2 6.8
343 0.520 0.625 0.2 1.5 1.7 1.3 0.2 0.0 0.9 0.8 5.3
344 0.513 0.614 0.2 1.8 2.0 1.5 0.2 0.0 1.1 0.8 5.8
345 0.611 0.714 0.5 0.2 0.7 0.5 0.2 0.0 0.2 0.3 2.7
346 0.494 0.895 0.2 0.4 0.6 1.1 0.2 0.0 0.4 0.4 2.5
347 0.485 0.911 0.3 1.7 2.0 3.7 0.9 0.1 0.7 0.4 6.3
348 0.763 0.500 2.1 5.4 7.5 1.6 0.3 1.1 1.5 2.0 7.5
349 0.522 0.818 0.6 2.0 2.5 3.4 1.0 0.3 1.3 2.2 8.2
350 0.506 0.766 0.6 1.7 2.3 2.5 0.9 0.2 1.0 2.2 6.6
351 0.545 0.878 0.5 2.6 3.2 5.5 1.2 0.5 1.8 2.2 12.0
352 0.444 0.800 0.3 1.2 1.5 0.4 0.2 0.3 0.4 0.9 2.4
353 0.344 0.833 0.0 0.6 0.6 0.2 0.1 0.1 0.3 0.8 1.2
354 0.500 0.786 0.7 2.2 2.9 0.8 0.4 0.6 0.6 1.1 4.3
355 0.531 0.617 0.8 3.2 4.0 1.7 0.3 0.4 0.5 1.5 6.6
356 0.597 0.839 0.2 2.3 2.6 1.7 0.4 0.1 0.8 1.4 8.3
357 0.559 1.000 0.8 2.2 3.0 1.5 1.2 0.5 0.7 1.5 7.3
358 0.580 0.919 0.9 4.3 5.2 1.4 0.5 0.7 0.6 2.1 7.1
359 0.400 0.800 0.8 1.4 2.2 0.2 0.3 0.3 0.5 0.7 3.8
360 0.514 0.800 0.2 1.2 1.5 0.5 0.3 0.1 0.4 0.9 3.9
361 0.576 0.833 0.8 2.2 3.0 1.1 0.7 0.2 0.4 0.9 4.3
362 0.520 0.732 0.3 1.7 2.1 1.5 0.9 0.2 0.8 1.2 9.1
363 0.444 0.500 0.1 1.1 1.2 0.3 0.2 0.5 0.1 0.1 2.0
364 0.534 0.500 0.7 2.2 2.9 1.1 0.1 1.4 0.3 1.1 4.4
365 0.500 NA 0.0 0.6 0.6 0.4 0.0 0.0 0.0 0.2 0.6
366 0.286 0.500 0.2 0.8 1.0 0.4 0.5 0.4 0.8 0.6 1.2
367 0.813 1.000 0.6 1.2 1.8 0.8 0.6 0.0 0.8 1.6 3.0
368 0.533 0.691 1.6 4.5 6.1 1.9 0.5 0.6 1.7 1.8 12.9
369 0.487 0.857 1.1 1.8 2.9 1.0 0.3 0.2 0.8 1.4 5.5
370 0.529 0.947 0.7 2.9 3.6 1.5 0.9 0.6 0.6 2.0 10.1
371 0.398 0.750 0.7 1.3 1.9 0.7 0.3 0.3 0.6 1.3 3.1
372 0.596 0.849 0.6 4.4 5.0 4.9 0.8 0.5 3.5 2.4 27.4
373 0.557 0.703 0.3 1.2 1.5 0.6 0.6 0.4 0.6 1.0 5.1
374 0.500 1.000 0.0 0.7 0.7 0.1 0.3 0.1 0.3 0.1 1.7
375 0.111 1.000 0.5 0.8 1.3 0.5 0.0 0.0 0.0 0.0 1.3
376 0.608 0.909 0.4 2.8 3.2 1.3 0.7 0.1 0.5 1.6 6.5
377 0.490 0.685 0.4 1.6 2.0 3.6 0.7 0.3 1.1 1.6 5.6
378 0.629 0.629 1.2 2.8 4.1 0.8 0.3 1.0 0.9 2.0 6.6
379 0.650 0.500 0.0 1.6 1.6 0.4 0.1 0.9 1.1 1.4 2.3
380 0.629 0.636 1.4 3.0 4.4 0.8 0.3 1.0 0.8 2.1 7.1
381 0.568 0.885 1.1 5.4 6.5 5.2 1.6 0.4 2.0 1.6 24.8
382 0.643 0.500 0.0 2.3 2.3 0.7 0.0 0.0 0.7 1.7 3.3
383 0.493 0.811 0.7 3.9 4.6 5.2 1.4 0.6 2.2 2.2 20.2
384 0.490 0.765 0.8 3.5 4.3 6.0 1.1 0.5 2.2 1.7 18.5
385 0.493 0.822 0.7 4.0 4.6 4.9 1.5 0.7 2.2 2.4 20.7
386 0.445 0.843 0.2 1.1 1.3 2.3 0.7 0.2 0.6 1.6 6.4
387 0.554 0.928 0.5 3.7 4.2 7.5 0.9 0.3 3.0 1.5 28.8
388 0.551 0.800 0.7 2.0 2.7 0.5 0.1 0.3 0.4 1.1 4.6
389 0.558 0.646 1.9 3.4 5.3 2.0 0.3 0.4 0.6 2.2 4.1
390 0.577 0.845 1.5 3.5 5.0 0.7 0.6 1.5 0.9 2.1 12.3
391 0.639 0.723 2.0 1.8 3.8 0.8 0.2 0.6 1.1 1.5 9.0
392 0.308 NA 0.3 0.7 1.0 1.0 0.7 0.0 1.0 1.7 2.7
393 0.522 0.824 0.7 6.8 7.4 2.5 0.6 0.1 1.5 1.0 12.2
394 0.546 0.875 0.8 4.6 5.4 7.3 1.0 0.3 2.7 3.1 17.2
395 0.471 0.814 0.5 1.7 2.2 1.2 0.6 0.1 0.7 1.7 6.4
396 0.556 0.652 0.4 3.3 3.7 0.6 0.3 0.0 0.3 0.6 5.0
397 0.000 NA 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0
398 0.556 0.909 1.0 1.3 2.3 0.5 0.3 0.5 0.4 0.9 3.8
399 0.454 0.748 0.4 2.9 3.2 3.5 0.9 0.2 2.2 1.9 10.1
400 0.269 0.800 0.1 1.3 1.4 0.4 0.0 0.2 0.3 1.0 1.1
401 0.563 0.830 0.8 2.8 3.6 1.6 0.4 0.2 0.6 1.9 7.0
402 0.439 0.821 0.2 1.3 1.5 2.3 0.5 0.0 1.0 1.0 4.1
403 0.512 0.816 1.4 2.5 3.9 0.3 0.1 0.2 0.4 0.9 4.7
404 0.594 0.826 0.7 4.6 5.3 0.9 0.5 0.3 1.0 1.5 13.6
405 0.462 0.707 0.5 4.2 4.6 2.8 0.8 0.3 1.2 1.8 7.7
406 0.436 0.641 0.6 2.1 2.7 1.3 0.7 0.2 0.6 1.2 5.0
407 0.484 0.581 1.0 2.1 3.1 1.7 0.7 0.2 0.8 1.0 4.0
408 0.318 0.200 0.2 0.6 0.8 0.4 0.6 0.2 0.7 0.1 2.4
409 0.536 0.900 0.5 1.7 2.2 0.5 0.3 0.3 0.5 1.0 4.5
410 0.564 0.714 1.6 3.8 5.4 1.1 0.7 0.9 0.8 2.0 9.3
411 0.417 0.714 0.8 2.3 3.0 3.0 0.0 0.0 1.3 1.8 6.3
412 0.570 0.884 0.3 1.1 1.4 0.4 0.5 0.1 0.2 1.7 5.5
413 0.479 0.333 0.1 0.8 0.9 1.6 0.1 0.4 0.1 0.9 6.0
414 0.484 0.854 0.3 1.3 1.6 0.9 0.7 0.3 0.4 1.4 4.8
415 0.498 0.871 0.2 1.5 1.7 2.0 0.4 0.2 0.7 1.3 8.0
416 0.520 0.880 0.3 0.8 1.1 0.9 0.4 0.1 0.3 0.5 3.8
417 1.000 1.000 0.2 0.4 0.6 0.8 0.4 0.0 0.0 1.2 1.0
418 0.554 0.812 0.6 3.3 3.9 4.7 0.9 0.4 1.4 1.9 23.1
419 0.574 0.688 0.8 2.9 3.7 6.6 1.9 0.3 2.0 1.6 8.6
420 0.545 0.600 0.8 2.9 3.7 1.1 0.6 1.0 0.7 2.7 6.8
421 0.530 0.703 1.0 2.6 3.6 1.1 0.6 0.4 1.0 2.0 7.4
422 0.616 0.816 0.9 2.4 3.3 1.3 0.3 0.1 0.8 1.8 13.6
423 0.470 1.000 0.3 0.7 1.1 0.2 0.1 0.2 0.2 0.4 2.2
424 0.520 0.657 1.7 3.5 5.2 0.8 0.4 1.2 1.3 2.6 7.3
425 0.533 0.655 1.6 3.5 5.2 1.0 0.5 1.2 1.4 2.4 8.0
426 0.478 0.667 1.8 3.5 5.3 0.5 0.2 1.1 1.2 3.2 5.5
427 0.607 0.750 0.5 0.9 1.4 1.0 0.5 0.1 0.4 0.8 5.7
428 0.602 0.556 0.6 0.8 1.4 0.2 0.2 0.0 0.1 0.7 3.1
429 0.481 0.767 0.4 1.7 2.1 3.8 1.0 0.1 1.0 0.9 5.0
430 0.503 0.736 0.3 1.6 1.9 0.7 0.4 0.2 0.8 1.7 7.7
431 0.480 0.719 0.3 1.7 2.1 0.9 0.6 0.1 0.9 1.6 7.4
432 0.539 0.762 0.2 1.4 1.6 0.5 0.1 0.3 0.7 1.8 8.0
433 0.408 0.760 0.6 2.1 2.7 1.0 0.3 0.1 0.3 1.3 3.0
434 0.314 0.857 0.5 2.0 2.6 1.1 0.4 0.0 0.3 1.3 2.0
435 0.476 0.722 0.7 2.1 2.8 0.8 0.2 0.1 0.2 1.3 4.0
436 0.548 0.804 0.6 2.5 3.1 2.5 1.2 0.6 1.3 1.6 9.1
437 0.590 1.000 0.2 0.8 1.0 0.7 0.3 0.0 0.3 0.6 3.0
438 0.545 0.721 0.9 2.3 3.1 0.8 0.4 0.5 0.8 1.6 6.3
439 0.546 0.898 0.8 5.2 6.0 5.4 1.1 0.1 2.6 2.4 20.4
440 0.635 1.000 0.1 1.2 1.3 1.2 0.7 0.3 0.4 0.7 4.1
441 0.544 0.910 0.3 1.4 1.7 2.4 0.6 0.0 1.0 1.2 10.8
442 0.537 0.724 1.4 3.3 4.7 1.8 0.9 0.6 0.9 2.0 9.0
443 0.503 0.830 0.5 1.8 2.3 3.1 0.6 0.3 1.6 2.1 13.0
444 0.520 0.845 0.9 3.5 4.4 5.2 1.0 0.3 2.8 2.2 26.4
445 0.395 0.000 0.1 0.3 0.4 0.4 0.1 0.1 0.4 0.4 1.1
446 0.540 0.819 0.3 2.1 2.4 2.1 0.5 0.1 1.3 1.1 11.7
447 0.500 0.857 0.5 1.1 1.7 1.5 0.6 0.2 0.9 1.2 4.9
448 0.487 0.728 0.9 3.1 4.0 7.4 0.9 0.2 3.2 1.4 19.1
449 0.533 0.429 0.3 0.7 1.0 0.3 0.1 0.0 0.1 0.7 1.2
450 0.592 0.820 0.6 3.5 4.1 1.0 0.6 0.3 1.0 2.1 13.4
451 0.491 0.720 0.8 3.6 4.4 1.2 0.4 0.3 0.9 1.7 6.7
452 0.547 0.795 0.2 1.8 2.0 3.2 0.7 0.3 0.7 1.0 10.2
453 0.609 0.636 0.1 0.9 1.0 0.4 0.2 0.2 0.3 0.9 5.6
454 0.485 0.791 0.9 6.2 7.1 5.4 1.5 0.1 1.7 2.0 15.7
455 0.559 0.869 0.8 3.3 4.0 4.8 1.3 0.3 2.3 2.0 21.2
456 0.573 0.917 0.5 3.2 3.8 0.8 0.2 0.3 0.6 1.5 9.7
457 0.504 0.800 0.3 1.8 2.1 1.6 0.8 0.2 1.1 0.9 6.9
458 0.523 0.700 0.4 2.5 3.0 1.8 0.8 0.2 1.6 1.0 10.3
459 0.569 0.757 0.3 2.3 2.6 0.8 0.4 0.4 0.8 1.4 6.7
460 0.546 0.612 1.5 5.2 6.7 3.1 1.7 0.5 1.6 2.1 9.3
461 0.551 0.786 0.6 2.2 2.8 0.5 0.3 0.2 0.5 1.9 4.7
462 0.539 0.882 0.4 2.0 2.4 2.3 1.1 0.1 0.8 1.7 8.7
463 0.590 0.957 0.4 2.1 2.4 0.8 0.3 0.1 0.7 1.6 6.9
464 0.596 0.800 0.3 1.2 1.5 0.2 0.2 0.1 0.2 0.7 3.2
465 0.614 0.714 2.2 4.2 6.4 0.7 1.1 2.2 1.0 2.8 5.1
466 0.499 0.818 0.5 1.8 2.3 1.5 0.5 0.3 0.7 1.7 9.0
467 0.513 0.444 0.2 0.8 0.9 0.6 0.5 0.1 0.3 1.4 2.7
468 0.578 0.933 0.4 2.8 3.2 2.6 0.9 0.3 1.4 1.9 14.6
469 0.538 0.500 0.2 0.8 1.0 0.3 0.0 0.0 0.2 0.1 1.7
470 0.532 0.619 2.3 6.6 9.0 3.4 1.0 1.1 2.0 2.8 11.5
471 0.525 0.691 1.3 2.6 3.9 1.0 1.0 0.7 0.6 2.0 9.2
472 0.563 0.760 0.3 1.7 2.0 0.2 0.5 0.2 0.8 0.7 5.7
473 0.580 0.848 1.2 5.6 6.8 2.5 0.8 0.5 1.2 2.6 7.0
474 0.534 0.750 0.6 2.1 2.6 0.7 0.3 0.0 0.4 1.0 4.6
475 0.627 0.708 0.9 1.6 2.4 0.5 0.2 0.2 0.8 1.4 5.4
476 0.492 0.750 0.9 3.1 4.0 2.2 1.1 0.5 0.8 1.1 7.8
477 0.459 0.769 1.1 1.6 2.6 1.1 0.9 0.5 0.7 2.1 5.4
478 0.644 0.632 1.2 2.0 3.3 0.4 0.5 0.7 0.6 2.0 4.6
479 0.476 0.726 1.0 2.1 3.1 1.9 0.9 0.4 1.3 2.8 9.6
480 0.438 0.533 0.6 1.3 1.8 0.5 0.3 0.3 0.4 1.6 2.5
481 0.476 0.754 0.4 4.5 4.8 4.6 1.4 0.4 2.5 2.5 19.8
482 0.503 0.730 0.1 5.6 5.7 4.2 1.7 0.2 2.0 2.6 20.0
483 0.471 0.783 0.4 4.4 4.8 5.0 1.2 0.5 2.6 2.3 21.2
484 0.419 0.667 0.8 2.8 3.5 3.5 1.8 0.5 3.5 3.3 12.0
485 0.636 0.250 1.3 4.0 5.3 1.3 0.5 1.0 0.8 2.8 10.8
486 0.533 0.775 1.0 5.0 6.1 2.1 0.9 0.6 1.3 2.9 10.0
487 0.621 0.844 1.6 6.9 8.4 4.1 1.4 0.6 2.6 3.1 19.0
488 0.505 0.833 0.4 1.1 1.6 0.5 0.2 0.1 0.3 1.1 1.9
489 0.458 0.800 0.6 2.8 3.4 2.9 0.9 0.2 1.4 2.0 10.4
490 0.433 0.750 0.7 0.9 1.6 0.3 0.1 0.2 0.3 0.8 1.8
491 0.501 0.695 1.5 4.5 6.0 1.3 1.0 0.8 1.3 2.2 15.4
492 0.564 0.769 0.8 2.5 3.2 0.8 0.1 0.4 0.8 1.0 5.5
493 0.571 NA 0.3 1.7 2.0 0.3 0.0 0.3 1.0 1.3 2.7
494 0.563 0.769 0.9 2.7 3.6 1.0 0.1 0.4 0.7 0.9 6.4
495 0.527 0.713 0.7 2.5 3.2 1.3 0.3 0.2 1.1 1.7 9.5
496 0.000 NA 1.0 0.0 1.0 1.0 0.0 0.0 5.0 2.0 0.0
497 0.558 0.765 0.5 1.5 2.0 0.8 0.4 0.2 0.3 1.2 5.2
498 0.479 0.750 1.1 2.7 3.8 1.1 0.9 1.1 0.3 2.6 5.4
499 0.557 0.934 0.4 4.1 4.5 8.9 1.4 0.3 2.2 2.4 16.4
500 0.576 0.893 0.3 2.1 2.4 3.6 0.6 0.3 1.0 1.6 8.4
501 0.455 0.682 1.0 2.4 3.4 3.2 0.7 0.1 1.6 1.8 10.1
502 0.846 0.750 0.2 0.9 1.1 0.1 0.6 0.1 0.1 0.8 2.5
503 0.533 0.667 0.5 1.0 1.5 0.2 0.1 0.7 0.2 1.1 1.5
504 0.429 NA 1.0 1.3 2.3 0.0 0.0 1.0 1.0 3.0 2.0
505 0.000 0.750 1.0 0.0 1.0 1.0 0.0 0.0 0.0 1.0 3.0
506 0.714 0.500 0.2 1.0 1.2 0.1 0.1 0.7 0.0 0.4 1.2
507 0.436 0.769 1.0 1.8 2.8 0.5 0.2 0.2 0.6 1.5 3.0
508 0.111 NA 0.0 0.3 0.3 0.1 0.0 0.0 0.1 0.2 0.1
509 0.614 0.669 2.6 6.7 9.3 3.6 0.8 0.9 1.9 3.3 10.4
510 0.616 0.508 3.2 4.8 7.9 1.9 0.7 1.8 1.2 2.5 8.6
511 0.250 0.333 0.6 0.8 1.4 0.2 0.0 0.3 0.4 0.8 0.8
512 0.412 0.738 0.7 4.0 4.7 2.2 0.4 0.9 2.2 1.3 8.2
513 0.535 0.882 0.3 1.5 1.8 1.9 0.5 0.2 1.0 1.7 12.0
514 0.633 0.600 0.4 0.9 1.3 0.1 0.3 0.1 0.6 1.1 2.0
515 0.493 0.734 0.8 3.0 3.8 6.3 0.7 0.3 3.5 2.3 16.6
516 0.646 0.791 1.5 5.8 7.3 1.1 0.7 0.9 1.3 2.1 19.0
517 0.535 0.838 1.1 4.4 5.5 2.0 0.5 0.2 1.0 1.5 9.9
518 0.380 1.000 0.0 4.7 4.7 1.7 1.3 0.0 0.0 1.3 8.0
519 0.585 0.740 1.9 5.2 7.1 1.1 0.8 0.4 0.8 1.7 11.4
520 0.547 0.855 1.9 7.0 8.9 1.6 0.5 1.3 1.2 2.7 20.1
521 0.631 0.782 1.4 2.7 4.0 1.1 0.6 0.5 0.7 2.3 5.9
522 0.602 0.865 0.5 2.5 3.0 1.8 1.1 0.2 1.8 2.3 19.6
523 0.518 0.880 0.9 2.4 3.3 1.9 1.3 0.4 1.6 2.3 17.0
524 0.495 0.855 0.5 3.0 3.5 1.9 0.7 0.6 1.1 1.8 9.5
525 0.493 0.889 0.2 2.7 2.8 0.6 0.7 0.7 0.9 1.8 8.1
526 0.496 0.837 0.6 3.1 3.7 2.4 0.7 0.5 1.2 1.9 10.1
527 0.562 0.889 0.5 1.9 2.4 1.8 0.6 0.1 0.8 1.6 7.7
528 0.497 0.891 0.4 1.8 2.1 2.0 0.5 0.2 0.9 1.8 11.4
529 0.461 1.000 0.2 0.6 0.8 0.5 0.3 0.1 0.2 0.6 3.1
530 0.481 0.792 0.2 1.8 2.0 1.8 0.5 0.1 1.1 1.6 6.5
531 0.516 0.811 1.2 9.0 10.2 6.0 0.9 0.3 3.4 3.2 24.1
532 0.428 0.817 0.8 3.2 4.0 1.3 1.3 0.3 1.3 2.6 11.2
533 0.521 0.942 0.1 1.4 1.5 1.2 0.3 0.1 0.8 1.1 7.4
534 0.526 0.957 0.1 1.6 1.7 1.3 0.3 0.1 0.8 1.2 8.7
535 0.500 0.800 0.1 0.8 0.9 0.8 0.2 0.1 0.8 1.0 4.4
536 0.538 0.500 1.2 1.2 2.3 0.5 0.4 0.5 0.5 1.1 3.4
537 0.576 0.693 1.2 3.4 4.6 1.0 0.5 1.1 1.0 2.6 11.2
538 0.417 NA 0.4 0.6 1.0 0.4 0.0 0.0 0.0 0.4 3.0
539 0.500 NA 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7
540 0.406 NA 1.0 1.5 2.5 1.0 0.0 0.0 0.0 1.0 6.5
541 0.444 0.636 0.2 0.4 0.6 0.1 0.0 0.0 0.2 0.4 0.8
542 0.498 0.917 0.9 2.4 3.3 2.6 1.0 0.4 1.3 2.2 12.1
543 0.750 NA 0.0 0.1 0.1 0.4 0.1 0.0 0.1 0.0 2.6
544 0.537 0.710 0.2 2.1 2.3 2.3 0.8 0.1 1.0 1.8 7.9
545 0.533 0.714 0.2 2.0 2.2 2.0 0.6 0.0 1.0 1.5 7.3
546 0.541 0.706 0.2 2.1 2.3 2.6 1.2 0.1 0.9 2.1 8.7
547 0.179 0.500 1.4 1.6 3.0 0.8 0.6 0.2 0.4 0.8 1.2
548 0.614 0.827 0.1 3.4 3.5 1.8 0.6 0.3 1.1 2.5 13.1
549 0.505 0.913 0.5 1.5 2.0 0.9 0.2 0.1 0.5 1.0 5.3
550 0.353 0.800 0.2 2.0 2.2 1.5 0.7 0.4 1.1 1.8 4.9
551 0.429 0.600 0.1 0.7 0.8 1.0 0.3 0.0 0.2 1.1 2.3
552 0.653 0.491 3.6 4.5 8.1 0.5 1.1 1.5 0.8 2.8 8.3
553 0.520 0.744 1.5 4.1 5.6 1.8 0.9 0.6 1.9 2.7 8.7
554 0.526 0.941 0.4 2.0 2.4 4.4 0.8 0.1 1.8 1.2 5.4
555 0.477 0.500 0.1 1.9 2.0 3.5 0.7 0.1 1.4 0.9 3.9
556 0.576 1.000 0.8 2.3 3.1 5.8 1.0 0.1 2.2 1.6 7.6
557 0.511 0.866 0.4 2.2 2.6 4.2 1.0 0.4 1.6 1.1 14.7
558 0.465 0.840 0.4 1.5 1.9 4.2 1.2 0.3 1.9 1.1 14.2
559 0.530 0.883 0.4 2.5 2.9 4.2 0.9 0.4 1.4 1.1 14.9
560 0.485 0.870 0.3 3.1 3.4 2.3 1.0 0.5 1.6 1.9 15.6
561 0.548 0.817 0.7 3.7 4.4 4.2 1.3 0.4 1.9 1.7 20.4
562 0.454 0.867 0.4 2.9 3.3 6.4 1.4 0.1 1.6 2.0 8.6
563 0.523 0.765 0.4 2.3 2.6 5.8 1.1 0.4 2.7 1.6 19.0
564 0.564 0.732 2.4 9.5 12.0 6.7 1.2 0.5 3.4 3.3 20.3
565 0.505 0.552 0.5 1.6 2.1 0.5 0.2 0.2 0.6 1.3 3.7
566 0.509 0.655 0.9 1.7 2.7 0.1 0.1 0.5 0.5 1.8 4.6
567 0.516 0.848 0.9 2.9 3.8 1.3 0.6 0.1 1.1 1.9 8.7
568 0.578 0.848 0.5 1.9 2.4 4.7 0.7 0.2 1.7 1.5 7.7
569 0.484 0.848 0.5 3.0 3.5 5.8 1.1 0.2 2.7 2.6 15.4
570 0.486 0.667 0.2 2.1 2.4 0.8 0.5 0.3 0.4 1.4 4.2
571 0.417 1.000 0.5 3.0 3.5 0.3 1.0 0.0 1.8 1.3 8.8
572 0.519 0.815 1.0 2.2 3.1 4.4 1.0 0.2 2.8 2.6 24.3
573 0.549 0.846 0.2 1.7 1.8 1.6 0.5 0.2 0.8 1.5 9.3
574 0.250 NA 0.5 0.0 0.5 0.0 0.5 0.0 0.5 0.0 1.0
575 0.493 0.827 1.7 5.5 7.2 4.5 1.1 0.7 2.3 3.1 21.4
576 0.656 0.733 0.5 1.3 1.8 0.4 0.1 0.4 0.7 1.6 2.1
577 0.731 0.733 0.6 1.6 2.3 0.5 0.1 0.5 0.8 1.8 2.7
578 0.333 NA 0.0 0.5 0.5 0.0 0.0 0.3 0.3 1.0 0.5
579 0.560 0.613 1.6 5.6 7.2 6.9 1.6 0.6 3.0 2.9 14.3
580 0.569 0.807 0.2 2.0 2.2 1.4 0.3 0.1 0.7 1.5 7.8
581 0.475 0.500 0.0 1.5 1.5 0.3 0.1 0.0 0.3 0.5 2.1
582 0.481 0.333 0.4 0.7 1.1 0.3 0.2 0.3 0.3 0.7 1.9
583 0.489 0.790 0.8 2.7 3.5 5.7 1.5 0.5 2.0 2.6 13.1
584 0.466 0.731 0.5 1.9 2.4 3.3 1.0 0.6 1.1 1.6 6.7
585 0.200 0.833 0.0 0.7 0.7 1.0 1.0 0.0 0.3 1.3 3.0
586 0.485 0.700 0.6 2.1 2.7 3.7 1.0 0.7 1.3 1.7 7.3
587 0.465 0.576 0.5 2.9 3.4 3.9 0.7 0.3 0.9 1.4 6.7
588 0.480 0.714 0.3 1.1 1.4 0.1 0.0 0.2 0.3 0.6 2.0
589 0.696 1.000 0.4 2.0 2.4 1.3 0.3 0.2 0.4 1.6 5.3
590 0.500 0.000 1.0 1.0 2.0 0.0 0.0 1.0 1.5 1.5 2.0
591 0.337 0.778 0.3 0.5 0.8 0.0 0.0 0.1 0.0 0.6 1.5
592 0.471 0.725 0.6 1.8 2.4 0.6 0.4 0.3 0.6 1.3 4.1
593 0.578 0.696 2.3 4.3 6.7 0.9 0.6 1.3 1.0 2.7 7.9
594 0.588 0.667 0.1 0.9 1.1 0.6 0.3 0.1 0.2 1.1 6.1
595 0.587 0.819 0.3 1.4 1.8 0.9 0.6 0.2 1.0 1.7 7.5
596 0.554 0.694 1.9 3.5 5.3 2.5 1.2 0.5 1.4 3.2 11.3
597 0.530 0.868 0.8 6.6 7.4 4.3 1.2 0.5 2.7 1.9 26.4
598 0.496 0.848 0.3 1.3 1.6 2.4 0.6 0.2 1.2 1.0 6.7
599 0.484 0.836 0.3 1.4 1.7 2.1 0.8 0.2 1.1 1.3 6.9
600 0.521 0.864 0.2 1.2 1.5 2.8 0.4 0.2 1.2 0.6 6.6
601 0.503 0.800 0.5 2.3 2.9 2.2 0.8 0.5 1.0 2.3 7.6
602 0.313 0.333 0.0 0.5 0.5 0.5 0.5 0.0 0.2 0.2 1.0
603 0.593 0.673 1.4 4.0 5.5 1.7 0.6 0.9 1.0 2.6 9.6
604 0.609 0.687 1.3 4.0 5.2 1.6 0.6 1.0 1.0 2.9 9.5
605 0.567 0.651 1.7 4.2 5.9 1.8 0.7 0.6 1.1 2.0 10.0
606 0.435 0.674 0.3 1.4 1.7 0.9 0.5 0.3 0.7 1.3 3.9
607 0.357 0.714 0.3 0.8 1.0 1.0 0.3 0.3 1.0 1.3 2.5
608 0.441 0.667 0.3 1.5 1.8 0.9 0.5 0.3 0.6 1.3 4.1
609 0.389 1.000 0.3 1.0 1.3 1.7 0.3 0.0 2.0 1.0 7.7
610 0.553 1.000 1.4 2.2 3.6 5.0 1.8 1.2 1.2 1.6 16.4
611 0.500 0.857 0.2 0.8 1.0 0.4 0.1 0.0 0.3 0.4 3.1
612 0.524 0.857 0.1 0.7 0.8 0.3 0.1 0.0 0.2 0.4 2.7
613 0.477 0.857 0.2 1.0 1.2 0.5 0.1 0.0 0.4 0.4 3.6
614 0.518 0.592 3.1 5.0 8.1 1.2 0.4 0.6 1.1 2.2 7.6
615 0.402 0.500 0.1 0.7 0.9 1.0 0.6 0.1 0.3 0.7 2.0
616 0.405 0.000 0.1 0.3 0.4 0.3 0.4 0.1 0.3 0.2 1.2
617 0.400 0.667 0.3 1.6 1.9 2.4 1.1 0.1 0.4 1.7 3.4
618 0.508 0.444 0.5 1.4 1.9 1.0 1.6 1.1 0.5 2.0 3.9
619 0.421 0.818 0.3 1.0 1.3 0.4 0.3 0.4 0.1 1.1 3.2
620 0.595 0.642 1.3 3.1 4.3 1.3 0.7 0.6 0.8 2.0 6.6
621 0.353 0.833 0.3 0.6 0.9 0.2 0.3 0.2 0.3 0.6 1.5
622 0.560 0.731 0.4 1.8 2.2 0.5 0.3 0.2 0.4 0.9 4.1
623 0.667 0.710 0.5 3.9 4.4 2.8 0.8 0.5 1.2 2.1 5.7
624 0.409 0.714 0.0 0.8 0.8 0.5 0.3 0.4 0.0 0.8 1.8
625 0.555 0.859 2.7 7.9 10.6 4.5 0.8 1.1 3.2 3.7 24.8
626 0.513 0.783 0.5 2.2 2.6 1.4 1.0 0.2 0.7 1.6 15.3
627 0.530 0.773 0.5 1.7 2.2 1.4 0.9 0.1 0.8 1.5 15.0
628 0.479 0.806 0.4 3.2 3.6 1.3 1.1 0.2 0.7 1.7 16.2
629 0.486 0.750 1.0 2.9 3.9 1.2 0.8 0.4 0.8 2.4 3.7
630 0.469 0.783 1.0 3.6 4.6 1.4 0.9 0.6 1.0 2.8 4.4
631 0.533 0.600 0.9 1.9 2.8 0.8 0.5 0.1 0.4 1.7 2.6
632 0.556 0.737 0.1 0.7 0.8 0.4 0.1 0.0 0.3 0.6 2.4
633 0.557 0.782 1.3 5.2 6.5 1.0 0.9 3.4 1.4 3.5 12.6
634 0.606 0.773 4.1 8.4 12.5 1.8 0.6 0.9 1.6 2.9 17.1
635 0.469 0.941 0.4 2.8 3.2 1.7 0.5 0.1 0.7 1.1 6.5
636 0.608 0.559 1.8 3.9 5.8 1.2 1.0 0.7 0.8 1.9 5.4
637 0.489 0.885 0.6 3.6 4.2 6.3 1.7 0.7 1.8 2.3 19.6
638 0.250 0.556 1.4 2.6 4.0 0.6 0.0 0.4 0.2 0.6 2.6
639 0.492 0.843 0.4 2.4 2.8 0.9 0.7 0.3 0.4 1.4 5.5
640 0.476 0.870 0.2 0.9 1.1 1.3 0.4 0.0 0.7 1.6 4.8
641 0.000 NA 0.0 0.3 0.3 0.3 0.0 0.0 0.5 0.5 0.0
642 0.540 0.840 2.1 9.6 11.7 3.8 0.9 0.7 1.8 2.0 23.4
643 0.545 0.827 2.0 9.8 11.8 3.8 1.0 0.6 1.9 1.8 24.5
644 0.532 0.870 2.3 9.3 11.5 3.9 0.9 0.8 1.7 2.2 21.5
645 0.556 0.769 0.6 2.8 3.4 1.2 0.6 0.3 0.5 1.2 6.0
646 0.522 0.816 0.6 2.6 3.2 1.1 0.6 0.4 1.0 2.4 6.9
647 0.561 0.788 0.5 2.4 2.9 1.3 0.9 0.3 0.8 2.5 7.1
648 0.357 0.500 0.3 1.8 2.1 0.7 0.0 0.1 1.0 1.1 1.2
649 0.495 0.879 1.0 3.9 4.9 1.1 0.4 0.8 1.2 3.3 11.0
650 0.514 0.899 0.4 3.6 4.0 4.9 1.1 0.3 2.0 1.4 19.3
651 0.502 0.814 0.2 2.4 2.6 1.7 0.5 0.3 1.1 1.7 11.2
652 0.458 0.749 0.4 2.8 3.2 6.9 1.1 0.8 3.5 1.2 20.6
653 0.411 0.891 0.3 1.4 1.7 2.9 0.7 0.2 1.2 1.5 5.5
654 0.390 0.893 0.2 1.5 1.7 2.5 0.7 0.2 0.9 1.4 4.7
655 0.440 0.889 0.5 1.3 1.8 3.4 0.8 0.2 1.5 1.8 6.9
656 0.529 0.800 0.5 3.0 3.5 1.3 0.5 0.0 1.0 4.0 15.5
657 0.522 0.745 1.5 5.1 6.5 2.5 1.1 1.2 2.0 2.7 12.9
658 0.539 0.828 0.7 2.5 3.2 0.8 0.5 0.4 0.4 1.1 4.4
659 0.494 0.941 0.2 0.6 0.8 2.4 0.6 0.0 1.0 0.7 3.8
660 0.646 0.625 0.1 1.5 1.7 0.6 0.2 0.1 0.3 1.3 4.1
661 0.471 0.813 0.2 0.4 0.6 0.4 0.4 0.1 0.5 0.9 2.3
662 0.474 0.656 1.7 9.9 11.5 11.7 1.4 0.4 4.8 2.9 22.2
663 0.506 0.901 0.4 3.7 4.1 4.8 0.6 0.2 2.3 2.6 15.1
664 0.503 0.851 0.4 2.6 3.0 3.5 0.7 1.0 1.3 2.5 15.4
665 0.563 0.519 1.7 4.3 6.0 0.6 0.3 1.3 1.1 2.0 8.1
666 0.000 NA 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
667 0.543 0.714 1.2 3.7 4.9 2.4 0.9 1.0 1.8 2.2 18.6
668 0.534 0.588 0.8 2.1 2.8 1.0 0.5 0.4 0.9 2.6 4.7
669 0.596 0.571 1.3 2.9 4.1 2.3 0.8 0.3 1.2 2.2 8.0
670 0.464 0.867 0.3 1.8 2.1 3.4 0.7 0.1 1.6 0.9 11.3
671 0.473 0.866 0.4 1.7 2.1 3.4 0.9 0.1 1.6 1.0 12.1
672 0.444 0.870 0.3 1.8 2.1 3.4 0.3 0.1 1.8 0.8 10.0
673 0.534 0.728 0.9 3.7 4.6 1.4 0.9 0.6 1.4 1.8 9.2
674 0.721 0.616 2.6 4.3 6.9 1.8 0.8 1.8 1.0 2.0 8.0
675 0.616 0.698 2.7 4.5 7.2 3.7 0.9 0.6 2.7 2.2 27.0
676 0.494 0.680 0.6 2.6 3.2 0.7 0.3 0.5 0.6 1.3 5.2
677 0.488 0.500 0.3 1.8 2.1 0.3 0.1 0.3 0.3 1.1 3.6
678 0.496 0.696 0.7 3.0 3.8 0.9 0.4 0.5 0.8 1.3 6.1
679 0.538 0.778 0.6 2.8 3.5 1.1 0.6 0.4 1.0 1.2 5.2
680 0.376 0.571 0.7 3.8 4.5 1.9 0.6 0.5 1.4 1.8 6.8
681 0.545 0.833 0.0 0.4 0.4 0.5 0.1 0.0 0.2 0.4 1.9
682 0.535 0.628 1.4 4.4 5.8 0.7 0.3 0.9 1.5 3.1 11.5
683 0.574 0.631 1.9 7.8 9.6 1.7 0.8 1.2 2.0 2.1 21.0
684 0.425 0.375 0.3 0.9 1.2 0.2 0.0 0.2 0.1 0.3 1.5
685 0.517 0.789 1.0 3.5 4.6 5.0 1.6 0.5 1.3 1.3 10.4
686 0.536 0.833 1.0 2.9 3.9 3.6 1.6 0.4 1.3 1.1 10.0
687 0.568 0.628 2.5 3.8 6.2 4.3 1.1 0.6 2.0 2.2 12.1
688 0.499 0.886 0.6 3.3 3.9 9.4 0.8 0.2 4.1 1.8 25.3
689 0.565 0.714 2.5 4.4 6.8 1.8 0.6 0.4 1.1 2.5 9.4
690 0.654 0.789 2.6 4.6 7.2 1.3 0.3 0.9 1.1 2.6 9.0
Data description
Motivation : Why was this dataset created?
This dataset was created for people all over the world to be able to see every NBA player’s statistics and information. The purpose of this dataset was to have every player’s statistical data in one, convenient web page so that anyone can examine players as well as compare players.
Who created this dataset?
This dataset was created by Sean Forman - an indepedent journalist. However, other journalists contributed data to this dataset.
Who funded the creation of this dataset?
The creator gives no indication who funded this dataset, it is an independent basketball-information resource, so the NBA itself did not fund the creation of this dataset. The creator of this dataset may have contributed their own earnings in order to gather data from other resources and retrieve data from journalists.
Composition:
What are the observations (rows) and the attributes (columns)?
The rows (observations) in this dataset are the names of the NBA players from the 2020-2021 season. The columns (attributes) are player descriptors and in-game statistics of these players. The descriptions are their positions they played, the team they played for, their age, as well as their name (the first column header which has the rows underneath). The in-game statistics are values that describe the performance of the player, for example their points per game, rebounds per game, field goal percentage (baskets made over total baskets attempted), and more.
Collection Process
What processes might have influenced what data was observed and recorded and what was not?
An important process that helped gather data into this dataset was the contributions from outside sources, including journalists like Sean Lahman who provided a large amount of NBA data. This source observed large amounts of data, and is a reason some of these statistics are in this dataset. Because the creator of this dataset is not affiliated with the NBA, some attributes are missing, but these attributes are not as essential to our research question. Statistics like miles run per game, time of possession per game, and others are not available due to the fact that the creator did not directly observe the NBA data (they just received data from other sources), so they could not get every statistic they desired.
If people are involved, were they aware of the data collection and if so, what purpose did they expect the data to be used for?
The people involved (the NBA players) are aware of the fact that the NBA directly collects statistical data from them, and they are aware that this data is public (our dataset used this public data and used it to make the dataset). They expect the data to be used for the exact reasons this dataset was made - so anybody, especially basketball fans, can examine how they play and so anybody can compare NBA players to each other.
Preprocessing:
What preprocessing was done, and how did the data come to be in the form that you are using?
In terms of pre-processing data, the creator reduced and altered raw data in order to make the resulting data more uniform and easier to read. For example, they retrieved the total points in a season and total games played for each player, and then divided the points over the games played in order to generate a player’s average points per game. This calculation was necessary because points per game allows people to compare players on an even playing field since players play different amounts of games. After calculations like these were made for other statistics, data was then reduced, for example the dataset creator deleted total points in a season (raw data) from the dataset since it was redundant an unnecessary. Data reduction/cleansing and data transformation were key processes in order to make the data easier to analyze and display.
Data limitations
The first potential limitation that could interrupt our project is that our dataset is limited by the player data from the 2020-2021 season, as that is the only season our dataset contains. Therefore, our project cannot exceed that season to explore comparisons between seasons. We cannot delve deeper to ensure our findings are consistent over years of data. That deeper analysis would ensure our findings were correct and irrefutable.
Another limitation or dataset contains is that mot all players have data for all categories. This can cause the limitation of skewing our findings, such as producing lower or higher number in a specific category such as field goal percentage.This limitation could challenge the validity of our findings should other nba researchers review our project.
Exploratory data analysis
|> group_by (Pos) |> summarize (mean_ppg = mean (PTS, na.rm = TRUE ), mean_apg = mean (AST, na.rm = TRUE ), mean_rpg = mean (ORB, na.rm = TRUE ), mean_efg = mean (efg_pct, na.rm = TRUE ), mean_fgp = mean (fg_pct, na.rm = TRUE ), mean_threep_pct = mean (threep_pct, na.rm = TRUE ), mean_ftpct = mean (ft_pct, na.rm = TRUE ), mean_tov = mean (TOV, na.rm = TRUE ))
# A tibble: 5 × 9
Pos mean_ppg mean_apg mean_rpg mean_efg mean_fgp mean_threep_pct mean_ftpct
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 C 8.37 1.29 1.64 0.546 0.519 0.243 0.695
2 PF 7.56 1.50 0.842 0.508 0.442 0.314 0.732
3 PG 9.86 3.56 0.452 0.485 0.416 0.339 0.797
4 SF 7.81 1.42 0.660 0.504 0.426 0.330 0.754
5 SG 9.39 1.97 0.452 0.498 0.412 0.334 0.782
# ℹ 1 more variable: mean_tov <dbl>
Shooting guards lead the points per game category, point guards lead the assists per game category, Centers lead the rebounds per game category, centers lead the effective field goal percentage category, centers lead the field goal percentage category, small forwards lead the 3 point percentage category, point guards lead the free throw percentage category, and point guards lead the turnovers per game category. It is clear that Centers led the league in the most amount of positive categories in the 2020-2021 season, and power forwards led the least amount of categories this season.
|> group_by (Pos) |> summarize (mean_cum_stat = mean (PTS + AST + ORB - TOV))
# A tibble: 5 × 2
Pos mean_cum_stat
<chr> <dbl>
1 C 10.2
2 PF 8.98
3 PG 12.4
4 SF 9.02
5 SG 10.7
Using our equation that determines the best cumulative average of the main offensive statistical categories, point guards have the highest value for this statistic, while power forwards have the lowest value for this statistic
library (infer)ggplot (nba_clean,aes (x = Pos, y = PTS, fill = Pos)) + geom_col () + labs (title = "Points per Game by Position" ,x = "Position" ,y = "Points per Game" + theme_minimal ()
This graph shows us that that shooting guards have the highest points per game by a noticeable amount, while small forwards have the least points per game. We will be creating graphs for other statistical values to determine the positions with the best offensive statistics.
Questions for reviewers
1) Do you believe our limitations serve too large of an issue for us to continue working with this dataset?
2) Is there any wording we could be more specifc on or any topic you would like us to clarify more?
3) Do you have concerns for our project moving forward? If so, what are they?
