POS | Min | ADJP48 | ⬆WP48 | PoP48 | Wins | PTS | DRB | ORB | REB | AST | TO | BLK | STL | PF | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Karasev | SG (2.7) | 156 | -.040 | -.122 | -6.9 | -0.4 | 11.4 | 4.9 | 0.0 | 4.9 | 1.8 | 3.4 | 0.3 | 0.9 | 6.8 |
Waiters | SG (2.0) | 2072 | .053 | -.028 | -4.0 | -1.2 | 25.8 | 3.8 | 0.7 | 4.5 | 4.8 | 3.6 | 0.4 | 1.5 | 3.5 |
Jack | SG (1.8) | 2252 | .145 | .063 | -1.1 | 3.0 | 16.2 | 4.3 | 0.5 | 4.8 | 6.9 | 2.8 | 0.5 | 1.2 | 2.8 |
Miles | GF (3.0) | 984 | .181 | .099 | 0.0 | 2.0 | 24.5 | 4.1 | 0.9 | 5.0 | 2.5 | 2.1 | 0.7 | 2.2 | 5.0 |
Dellavedova | PG (1.0) | 1271 | .192 | .111 | 0.4 | 2.9 | 12.8 | 3.5 | 1.1 | 4.6 | 7.1 | 2.3 | 0.2 | 1.2 | 4.6 |
Irving | PG (1.0) | 2496 | .200 | .119 | 0.6 | 6.2 | 28.4 | 4.0 | 1.0 | 5.0 | 8.3 | 3.7 | 0.4 | 2.1 | 3.1 |
Average SG | SG | — | .161 | .099 | 0.0 | — | 20.7 | 4.5 | 1.0 | 5.5 | 4.7 | 2.8 | 0.4 | 1.6 | 3.5 |
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 |
FG% | 2FG% | 3FG% | FT% | eFG% | TS% | FGA | 3FGA | PPS | FTA | |
---|---|---|---|---|---|---|---|---|---|---|
Karasev 13-14 | 34.3% | 50% | 21.1% | 90% | 40% | 47% | 10.8 | 5.8 | 1.06 | 3.1 |
Waiters 13-14 | 43.3% | 45.5% | 36.8% | 68.5% | 47.9% | 50.8% | 23.0 | 5.8 | 1.12 | 5.4 |
Jack 13-14 | 41% | 43.5% | 34.1% | 83.9% | 45.5% | 49.8% | 14.9 | 3.9 | 1.09 | 3.2 |
Miles 13-14 | 43.5% | 48% | 39.3% | 85.3% | 53.7% | 56.9% | 20.0 | 10.3 | 1.23 | 3.7 |
Dellavedova 13-14 | 41.2% | 46.1% | 36.8% | 79.2% | 50.8% | 53.4% | 11.2 | 5.9 | 1.15 | 1.8 |
Irving 13-14 | 43% | 45.8% | 35.8% | 86.1% | 48% | 53.3% | 23.8 | 6.6 | 1.19 | 6.5 |
Average SG | 43.3% | 46.8% | 36.4% | 79.7% | 49.5% | 53.8% | 17.2 | 5.9 | 1.20 | 4.6 |
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 |
*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.