2013-14 NBA Season · 9-Cat
Fantasy Basketball Rankings
Current 9-cat stats for 36 of 375 NBA players.
How this board is built
Ball Ranks' projection model is built by AI: frontier AI models propose changes to how players are projected, each one is replayed against 15 completed NBA seasons, and only the changes that hold up are kept. The results include both wins and losses.
Season
Position
Points
Stats
| #1 | OKC | 25 | 81 | 38.5 | 14.92 | 32.0 | 7.4 | 5.5 | 1.3 | 0.7 | 2.4 | 50.3% | 87.3% | 3.5 | |
| #2 | NOP | 21 | 67 | 35.2 | 12.30 | 20.8 | 10.0 | 1.6 | 1.3 | 2.8 | 0.0 | 51.9% | 79.1% | 1.6 | |
| #3 | LAC | 29 | 62 | 35.0 | 11.72 | 19.1 | 4.3 | 10.7 | 2.5 | 0.1 | 1.3 | 46.7% | 85.5% | 2.3 | |
| #4 | MIN | 25 | 77 | 36.3 | 10.81 | 26.1 | 12.5 | 4.4 | 0.8 | 0.5 | 2.5 | 45.7% | 82.1% | 2.5 | |
| #5 | MIA | 29 | 77 | 37.7 | 10.69 | 27.1 | 6.9 | 6.3 | 1.6 | 0.3 | 1.5 | 56.7% | 75.0% | 3.5 | |
| #6 | GSW | 26 | 78 | 36.5 | 10.64 | 24.0 | 4.3 | 8.5 | 1.6 | 0.2 | 3.3 | 47.1% | 88.5% | 3.8 | |
| #7 | HOU | 24 | 73 | 38.0 | 10.12 | 25.4 | 4.7 | 6.1 | 1.6 | 0.4 | 2.4 | 45.6% | 86.6% | 3.6 | |
| #12 | IND | 24 | 80 | 36.2 | 7.83 | 21.7 | 6.8 | 3.5 | 1.9 | 0.3 | 2.3 | 42.4% | 86.4% | 2.8 | |
| #13 | ATL | 28 | 29 | 33.0 | 7.15 | 18.6 | 8.4 | 2.6 | 0.9 | 1.5 | 0.1 | 56.7% | 68.2% | 2.2 | |
| #15 | SAS | 23 | 66 | 29.1 | 6.78 | 12.8 | 6.2 | 2.0 | 1.7 | 0.8 | 1.0 | 52.2% | 80.2% | 1.2 | |
| #16 | TOR | 28 | 79 | 36.2 | 6.65 | 17.9 | 4.7 | 7.4 | 1.5 | 0.2 | 2.4 | 42.3% | 81.3% | 2.5 | |
| #18 | OKC | 25 | 46 | 30.7 | 6.38 | 21.8 | 5.7 | 6.9 | 1.9 | 0.2 | 1.5 | 43.7% | 82.6% | 3.8 | |
| #24 | CLE | 22 | 71 | 35.2 | 5.83 | 20.8 | 3.6 | 6.1 | 1.5 | 0.3 | 1.7 | 43.0% | 86.1% | 2.7 | |
| #26 | POR | 23 | 82 | 35.8 | 5.80 | 20.7 | 3.5 | 5.6 | 0.8 | 0.3 | 2.7 | 42.4% | 87.1% | 2.4 | |
| #32 | POR | 25 | 82 | 36.0 | 5.10 | 13.0 | 7.5 | 5.1 | 0.9 | 0.7 | 1.8 | 46.5% | 80.3% | 2.5 | |
| #33 | LAC | 25 | 82 | 35.0 | 4.96 | 10.4 | 13.6 | 0.9 | 1.0 | 2.5 | 0.0 | 67.6% | 42.8% | 1.5 | |
| #37 | MEM | 26 | 73 | 33.5 | 4.79 | 17.2 | 2.9 | 6.0 | 1.5 | 0.2 | 1.4 | 45.0% | 81.5% | 2.1 | |
| #39 | DET | 20 | 81 | 32.3 | 4.75 | 13.5 | 13.2 | 0.4 | 1.2 | 1.6 | 0.0 | 62.3% | 41.8% | 1.4 | |
| #41 | ORL | 23 | 57 | 31.8 | 4.71 | 14.2 | 11.0 | 1.8 | 1.1 | 0.8 | 0.0 | 50.7% | 76.6% | 2.0 | |
| #52 | GSW | 24 | 81 | 35.4 | 4.07 | 18.4 | 3.1 | 2.2 | 0.9 | 0.5 | 2.8 | 44.4% | 79.5% | 1.7 | |
| #53 | TOR | 24 | 79 | 38.2 | 4.07 | 22.7 | 4.3 | 4.0 | 1.1 | 0.4 | 0.8 | 42.9% | 82.4% | 2.2 | |
| #55 | NOP | 24 | 34 | 33.6 | 3.96 | 14.3 | 4.2 | 7.9 | 1.6 | 0.4 | 0.9 | 44.7% | 81.0% | 3.1 | |
| #69 | CHI | 24 | 67 | 38.7 | 3.18 | 13.1 | 4.9 | 2.6 | 1.9 | 0.5 | 1.0 | 39.7% | 76.9% | 1.5 | |
| #93 | ORL | 21 | 61 | 30.3 | 2.11 | 14.6 | 7.0 | 1.3 | 0.7 | 0.4 | 0.5 | 46.4% | 80.7% | 1.3 | |
| #99 | WAS | 21 | 73 | 34.7 | 1.96 | 17.1 | 3.7 | 3.3 | 1.0 | 0.2 | 1.9 | 41.9% | 78.8% | 1.8 | |
| #108 | NOP | 25 | 64 | 32.1 | 1.63 | 15.4 | 2.6 | 3.3 | 1.2 | 0.2 | 1.6 | 43.6% | 78.5% | 2.1 | |
| #112 | MIL | 22 | 82 | 30.0 | 1.52 | 12.1 | 3.8 | 2.1 | 1.0 | 0.2 | 1.5 | 44.0% | 86.1% | 1.5 | |
| #119 | TOR | 22 | 81 | 28.2 | 1.32 | 11.3 | 8.8 | 0.7 | 0.3 | 0.9 | 0.0 | 53.1% | 76.2% | 1.7 | |
| #130 | BOS | 27 | 82 | 34.2 | 1.09 | 16.9 | 4.6 | 1.7 | 0.7 | 0.6 | 1.6 | 41.2% | 79.5% | 2.0 | |
| #137 | GSW | 24 | 82 | 21.9 | 0.90 | 6.2 | 5.0 | 1.9 | 1.2 | 0.9 | 0.7 | 40.7% | 66.7% | 1.1 | |
| #181 | BKN | 24 | 70 | 18.2 | -0.38 | 7.4 | 4.4 | 0.9 | 0.7 | 0.8 | 0.0 | 65.9% | 62.6% | 1.1 | |
| #193 | BOS | 23 | 70 | 20.0 | -0.62 | 8.7 | 5.2 | 1.6 | 0.5 | 0.4 | 0.6 | 46.6% | 81.1% | 1.5 | |
| #207 | NYK | 22 | 81 | 23.2 | -0.96 | 10.2 | 1.5 | 0.8 | 0.5 | 0.1 | 1.6 | 42.8% | 82.8% | 0.6 | |
| #227 | MIL | 19 | 77 | 24.6 | -1.48 | 6.8 | 4.4 | 1.9 | 0.8 | 0.8 | 0.5 | 41.4% | 68.3% | 1.6 | |
| #233 | GSW | 22 | 78 | 28.3 | -1.59 | 9.5 | 4.0 | 1.5 | 0.8 | 0.3 | 0.8 | 39.9% | 71.8% | 1.1 | |
| #252 | DET | 21 | 80 | 19.8 | -2.02 | 5.9 | 2.0 | 0.7 | 0.9 | 0.2 | 0.7 | 39.6% | 77.0% | 0.4 |
Showing 1–36 of 36 players