| POS | ⬇Min | ADJP48 | WP48 | PoP48 | Wins | PTS | DRB | ORB | REB | AST | TO | BLK | STL | PF | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DeRozan | SF (2.9) | 2804 | .209 | .125 | 0.8 | 7.3 | 31.3 | 4.9 | 1.1 | 6.0 | 5.4 | 3.0 | 0.4 | 1.4 | 2.9 |
| Horford | C (5.0) | 2631 | .369 | .157 | 1.8 | 8.6 | 22.8 | 8.2 | 2.7 | 10.9 | 4.8 | 2.0 | 2.2 | 1.2 | 3.0 |
| Fournier | SF (2.4) | 2566 | .188 | .104 | 0.1 | 5.5 | 22.7 | 3.6 | 0.6 | 4.2 | 4.0 | 2.5 | 0.0 | 1.8 | 4.0 |
| Bazemore | SF (3.0) | 2083 | .222 | .138 | 1.2 | 6.0 | 20.1 | 8.1 | 0.6 | 8.7 | 3.9 | 3.2 | 0.9 | 2.3 | 4.1 |
| Dellavedova | PG (1.0) | 1867 | .192 | .082 | -0.5 | 3.2 | 14.6 | 3.3 | 0.8 | 4.2 | 8.7 | 3.0 | 0.2 | 1.1 | 4.6 |
| Parsons | F (3.4) | 1799 | .260 | .121 | 0.7 | 4.5 | 22.3 | 6.8 | 0.8 | 7.6 | 4.5 | 2.5 | 0.6 | 1.2 | 3.0 |
| Conley | PG (1.0) | 1761 | .272 | .162 | 2.0 | 5.9 | 23.4 | 3.8 | 0.7 | 4.5 | 9.3 | 2.3 | 0.4 | 1.8 | 2.7 |
| Bayless | SG (2.2) | 1505 | .185 | .101 | 0.1 | 3.2 | 17.3 | 3.8 | 0.7 | 4.5 | 5.2 | 2.3 | 0.4 | 1.5 | 3.5 |
| Mozgov | C (5.0) | 1326 | .329 | .117 | 0.5 | 3.2 | 17.2 | 8.2 | 4.0 | 12.2 | 1.2 | 2.6 | 2.1 | 0.8 | 5.8 |
| Moore | SG (1.8) | 1263 | .174 | .085 | -0.4 | 2.2 | 16.8 | 4.3 | 0.7 | 5.1 | 3.8 | 2.0 | 0.7 | 1.4 | 3.9 |
| Leuer | C (5.0) | 1255 | .314 | .102 | 0.1 | 2.7 | 21.7 | 11.4 | 2.9 | 14.3 | 2.8 | 2.9 | 1.1 | 1.5 | 4.8 |
| Augustin | PG (1.0) | 1178 | .202 | .091 | -0.2 | 2.2 | 19.0 | 3.5 | 0.3 | 3.9 | 8.1 | 3.4 | 0.2 | 1.5 | 3.5 |
| Hill | GF (2.5) | 866 | .299 | .215 | 3.6 | 3.9 | 13.6 | 7.0 | 2.2 | 9.2 | 3.2 | 1.8 | 0.6 | 2.1 | 3.8 |
| Noah | FC (4.4) | 635 | .423 | .211 | 3.5 | 2.8 | 9.4 | 12.7 | 6.6 | 19.3 | 8.3 | 3.9 | 2.2 | 1.4 | 5.8 |
| 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 | |
|---|---|---|---|---|---|---|---|---|---|---|
| DeRozan 15-16 | 44.6% | 45.8% | 33.8% | 85% | 46.3% | 55% | 23.6 | 2.4 | 1.33 | 11.2 |
| Horford 15-16 | 50.5% | 55.7% | 34.4% | 79.8% | 54.7% | 56.5% | 19.1 | 4.7 | 1.19 | 2.4 |
| Fournier 15-16 | 46.2% | 50.6% | 40% | 83.6% | 54.6% | 58.7% | 17.4 | 7.3 | 1.31 | 4.5 |
| Bazemore 15-16 | 44.1% | 50.2% | 35.7% | 81.5% | 51.7% | 55.1% | 16.7 | 7.0 | 1.20 | 3.5 |
| Dellavedova 15-16 | 40.5% | 40.1% | 41% | 86.4% | 50.1% | 52.7% | 13.1 | 6.1 | 1.11 | 1.7 |
| Parsons 15-16 | 49.2% | 54% | 41.4% | 68.4% | 57.1% | 58.9% | 17.4 | 6.7 | 1.29 | 3.6 |
| Conley 15-16 | 42.2% | 44.9% | 36.3% | 83.4% | 47.8% | 53.8% | 19.0 | 5.9 | 1.23 | 6.2 |
| Bayless 15-16 | 42.3% | 40.8% | 43.7% | 77.8% | 53.9% | 56.8% | 13.9 | 7.4 | 1.24 | 2.9 |
| Mozgov 15-16 | 56.5% | 57.4% | 14.3% | 71.6% | 56.7% | 59.3% | 13.0 | 0.3 | 1.32 | 3.4 |
| Moore 15-16 | 48.1% | 49.1% | 45.2% | 62.9% | 54.1% | 54.8% | 14.8 | 4.0 | 1.14 | 1.3 |
| Leuer 15-16 | 48.1% | 51.1% | 38.2% | 76.2% | 52.6% | 55.5% | 17.8 | 4.2 | 1.22 | 3.9 |
| Augustin 15-16 | 42.3% | 44% | 40.5% | 80.5% | 52% | 57.5% | 14.3 | 6.8 | 1.33 | 5.2 |
| Hill 15-16 | 44.7% | 51.5% | 32.4% | 85.7% | 50.5% | 54.3% | 11.5 | 4.1 | 1.18 | 2.3 |
| Noah 15-16 | 38.3% | 38.6% | 0% | 48.9% | 38.3% | 40.6% | 10.1 | 0.1 | 0.93 | 3.4 |
| 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.