POS | ⬇Min | ADJP48 | WP48 | PoP48 | Wins | PTS | DRB | ORB | REB | AST | TO | BLK | STL | PF | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Durant | SF (3.1) | 3122 | .406 | .312 | 6.6 | 20.3 | 39.9 | 8.3 | 0.9 | 9.2 | 6.8 | 4.4 | 0.9 | 1.6 | 2.7 |
George | SF (3.0) | 2898 | .274 | .192 | 2.9 | 11.6 | 28.8 | 7.9 | 1.1 | 9.0 | 4.7 | 3.7 | 0.4 | 2.5 | 3.3 |
Love | PF (4.3) | 2797 | .453 | .263 | 5.1 | 15.3 | 34.5 | 12.7 | 3.8 | 16.5 | 5.9 | 3.4 | 0.6 | 1.0 | 2.3 |
Paul | PG (1.0) | 2171 | .438 | .357 | 8.0 | 16.1 | 26.2 | 5.1 | 0.8 | 5.9 | 14.7 | 3.2 | 0.1 | 3.4 | 3.5 |
Iguodala | SF (2.5) | 2040 | .325 | .243 | 4.5 | 10.3 | 13.8 | 5.6 | 1.2 | 6.9 | 6.2 | 2.4 | 0.4 | 2.2 | 2.4 |
Parker | PG (1.0) | 1997 | .188 | .107 | 0.2 | 4.5 | 27.3 | 3.3 | 0.4 | 3.7 | 9.3 | 3.6 | 0.2 | 0.9 | 2.1 |
Average SF | SF | — | .201 | .099 | 0.0 | — | 19.7 | 5.8 | 1.5 | 7.3 | 3.4 | 2.4 | 0.6 | 1.6 | 3.7 |
Average PG | PG | — | .180 | .099 | 0.0 | — | 20.3 | 4.0 | 0.9 | 5.0 | 8.1 | 3.4 | 0.3 | 1.8 | 3.6 |
Average PF | PF | — | .264 | .099 | 0.0 | — | 20.5 | 7.9 | 3.1 | 11.0 | 2.9 | 2.5 | 1.3 | 1.4 | 4.5 |
FG% | 2FG% | 3FG% | FT% | eFG% | TS% | FGA | 3FGA | PPS | FTA | |
---|---|---|---|---|---|---|---|---|---|---|
Durant 13-14 | 50.3% | 54.9% | 39.1% | 87.3% | 56% | 63.5% | 26.0 | 7.5 | 1.54 | 12.4 |
George 13-14 | 42.4% | 45.8% | 36.4% | 86.4% | 49% | 55.5% | 22.6 | 8.3 | 1.28 | 7.7 |
Love 13-14 | 45.7% | 50.2% | 37.6% | 82.1% | 52.4% | 59.1% | 24.4 | 8.7 | 1.41 | 10.9 |
Paul 13-14 | 46.7% | 49.8% | 36.8% | 85.5% | 51.1% | 58% | 19.2 | 4.7 | 1.36 | 7.6 |
Iguodala 13-14 | 48% | 55.8% | 35.4% | 65.2% | 54.8% | 57% | 10.8 | 4.1 | 1.28 | 3.1 |
Parker 13-14 | 49.9% | 50.9% | 37.3% | 81.1% | 51.3% | 55.5% | 22.0 | 1.6 | 1.24 | 5.8 |
Average SF | 44.1% | 48.4% | 36.8% | 77.8% | 50.9% | 54.7% | 16.2 | 5.9 | 1.22 | 4.2 |
Average PG | 42.3% | 45.6% | 35.7% | 80.3% | 48.3% | 52.8% | 17.2 | 5.8 | 1.18 | 4.6 |
Average PF | 47.8% | 50.4% | 34.6% | 72.5% | 50.7% | 54.3% | 16.7 | 2.8 | 1.23 | 4.9 |
*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.