| POS | Min | ADJP48 | ⬇WP48 | PoP48 | Wins | PTS | DRB | ORB | REB | AST | TO | BLK | STL | PF | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Whiteside | C (5.0) | 2125 | .571 | .359 | 8.1 | 15.9 | 23.5 | 14.2 | 5.4 | 19.5 | 0.7 | 3.1 | 6.1 | 1.0 | 4.5 |
| Aldrich | C (5.0) | 800 | .507 | .295 | 6.1 | 4.9 | 19.7 | 12.1 | 5.2 | 17.3 | 3.0 | 3.8 | 4.1 | 2.8 | 8.3 |
| Drummond | C (5.0) | 2666 | .445 | .233 | 4.2 | 13.0 | 23.7 | 14.5 | 7.1 | 21.6 | 1.2 | 2.8 | 2.0 | 2.1 | 4.4 |
| Howard | C (5.0) | 2280 | .437 | .225 | 3.9 | 10.7 | 20.5 | 12.6 | 5.0 | 17.6 | 2.1 | 3.5 | 2.4 | 1.5 | 4.6 |
| Rondo | PG (1.3) | 2537 | .327 | .225 | 3.9 | 11.9 | 16.3 | 6.8 | 1.5 | 8.2 | 15.9 | 5.3 | 0.2 | 2.7 | 3.3 |
| Biyombo | C (5.0) | 1808 | .436 | .224 | 3.9 | 8.4 | 12.1 | 12.6 | 4.8 | 17.4 | 0.8 | 1.9 | 3.5 | 0.5 | 6.0 |
| Mahinmi | C (5.0) | 1816 | .397 | .185 | 2.7 | 7.0 | 17.4 | 9.8 | 3.6 | 13.4 | 2.7 | 2.6 | 2.0 | 1.7 | 5.8 |
| Batum | SF (3.0) | 2448 | .259 | .175 | 2.4 | 8.9 | 20.5 | 7.3 | 1.1 | 8.4 | 7.9 | 4.0 | 0.8 | 1.3 | 2.2 |
| Williams | PF (3.8) | 2338 | .360 | .167 | 2.1 | 8.1 | 19.5 | 8.1 | 2.6 | 10.7 | 2.3 | 1.3 | 1.6 | 1.2 | 2.7 |
| Turner | SG (2.9) | 2271 | .249 | .165 | 2.1 | 7.8 | 18.1 | 7.3 | 1.1 | 8.4 | 7.6 | 3.6 | 0.6 | 1.7 | 2.9 |
| Booker | PF (4.0) | 1632 | .366 | .154 | 1.7 | 5.2 | 13.6 | 8.4 | 4.9 | 13.3 | 2.5 | 2.4 | 1.2 | 1.7 | 5.0 |
| Lee | SG (2.0) | 2334 | .199 | .115 | 0.5 | 5.6 | 15.7 | 3.6 | 0.6 | 4.2 | 2.8 | 1.5 | 0.6 | 1.7 | 2.8 |
| Johnson | SF (3.0) | 1666 | .195 | .111 | 0.4 | 3.9 | 15.8 | 6.1 | 1.1 | 7.1 | 1.4 | 1.6 | 1.6 | 2.6 | 5.0 |
| Barnes | SF (3.0) | 2190 | .193 | .109 | 0.3 | 5.0 | 16.6 | 7.4 | 1.8 | 9.2 | 3.6 | 2.7 | 1.2 | 1.7 | 5.1 |
| Average SG | SG | — | .171 | .099 | 0.0 | — | 20.2 | 4.6 | 1.0 | 5.6 | 4.4 | 2.6 | 0.5 | 1.7 | 3.6 |
| Average PG | PG | — | .210 | .099 | 0.0 | — | 21.6 | 4.7 | 1.0 | 5.7 | 8.3 | 3.6 | 0.4 | 1.9 | 3.6 |
| Average SF | SF | — | .195 | .099 | 0.0 | — | 19.8 | 5.9 | 1.3 | 7.2 | 3.5 | 2.4 | 0.7 | 1.5 | 3.6 |
| Average PF | PF | — | .266 | .099 | 0.0 | — | 19.9 | 7.9 | 2.8 | 10.7 | 3.1 | 2.4 | 1.2 | 1.4 | 4.3 |
| Average C | C | — | .356 | .099 | 0.0 | — | 20.4 | 9.9 | 4.3 | 14.2 | 2.9 | 2.7 | 2.1 | 1.3 | 5.0 |
| FG% | 2FG% | 3FG% | FT% | eFG% | TS% | FGA | 3FGA | PPS | FTA | |
|---|---|---|---|---|---|---|---|---|---|---|
| Whiteside 15-16 | 60.6% | 60.6% | 0% | 65% | 60.6% | 62.9% | 15.4 | 0.0 | 1.52 | 7.4 |
| Aldrich 15-16 | 59.6% | 59.6% | 0% | 71.4% | 59.6% | 62.6% | 13.5 | 0.0 | 1.46 | 5.0 |
| Drummond 15-16 | 52.1% | 52.2% | 33.3% | 35.5% | 52.2% | 49.9% | 19.1 | 0.1 | 1.24 | 10.6 |
| Howard 15-16 | 62% | 62.6% | 0% | 48.9% | 62% | 60.4% | 12.6 | 0.1 | 1.63 | 10.0 |
| Rondo 15-16 | 45.4% | 47.9% | 36.5% | 58% | 49.4% | 50.6% | 14.8 | 3.2 | 1.10 | 2.8 |
| Biyombo 15-16 | 54.2% | 54.4% | 0% | 62.8% | 54.2% | 58.6% | 7.6 | 0.0 | 1.58 | 6.0 |
| Mahinmi 15-16 | 58.9% | 58.9% | 0% | 58.7% | 58.9% | 60.3% | 11.8 | 0.0 | 1.47 | 5.9 |
| Batum 15-16 | 42.6% | 49.2% | 34.8% | 84.9% | 50.6% | 54.6% | 17.1 | 7.8 | 1.20 | 3.8 |
| Williams 15-16 | 45.2% | 50.4% | 40.2% | 83.3% | 55.4% | 58.5% | 15.3 | 7.8 | 1.27 | 3.0 |
| Turner 15-16 | 45.6% | 48.2% | 24.1% | 82.7% | 46.9% | 51.3% | 15.9 | 1.8 | 1.13 | 3.8 |
| Booker 15-16 | 49% | 51.3% | 29.3% | 67% | 50.5% | 53.3% | 11.4 | 1.2 | 1.19 | 3.1 |
| Lee 15-16 | 45.4% | 49.3% | 37.8% | 83.9% | 51.8% | 55.1% | 13.1 | 4.5 | 1.19 | 2.4 |
| Johnson 15-16 | 40.4% | 51% | 33.3% | 65.2% | 50.4% | 51.3% | 14.8 | 8.9 | 1.07 | 1.3 |
| Barnes 15-16 | 38.1% | 44.9% | 32.2% | 80.4% | 46.7% | 50.3% | 15.2 | 8.1 | 1.09 | 3.0 |
| Average SG | 42.9% | 47.3% | 35.5% | 80.4% | 49.6% | 53.7% | 17.0 | 6.4 | 1.19 | 4.2 |
| Average PG | 43.2% | 46.6% | 36% | 80.1% | 49% | 53.3% | 18.2 | 5.9 | 1.19 | 4.6 |
| Average SF | 43.1% | 48% | 35.1% | 79.6% | 49.8% | 53.9% | 16.5 | 6.3 | 1.20 | 4.2 |
| Average PF | 46% | 49.8% | 35.1% | 74.4% | 50.6% | 54.2% | 16.4 | 4.3 | 1.21 | 4.4 |
| Average C | 51.4% | 52.7% | 33.1% | 66.8% | 52.5% | 55.7% | 15.8 | 1.0 | 1.29 | 5.8 |
*only players with at least 500 minutes are used to calculate averages, and some averages might look odd until the sample sizes get big enough due to rounding effects.