Paine
Season:
2024
Also known as: Paine
Program History
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.896 (#241) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.666 (#293) | AdjNet +6.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.662 (#293) | AdjNet +5.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.599 (#292) | AdjO 73.9 | AdjD 69.5 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-30 | vs | Huntingdon | W | 82 - 68 |
2024 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BJ Brown | - | 1 | 32.0 | 17.0 | 1.0 | 3.0 | 6.0 | 0.0 | 2.0 | 14.0 | 11.0 | -11 | -1.1 | -3.1 | 28.6 | 0.0 | 64.3 | 0.51 | 42.2 | 28.6 |
| Randall Davis | - | 1 | 24.0 | 12.0 | 12.0 | 1.0 | 2.0 | 0.0 | 3.0 | 8.0 | 16.0 | 8 | 0.9 | 3.0 | 62.5 | 0.0 | 50.0 | 1.1 | 61.5 | 62.5 |
| Max Gardner | - | 1 | 38.0 | 12.0 | 9.0 | 3.0 | 2.0 | 1.0 | 7.0 | 16.0 | 4.0 | -1 | -0.1 | -0.4 | 25.0 | 0.0 | 66.7 | 0.8 | 32.2 | 25.0 |
| Marcus Townsend | - | 1 | 27.0 | 10.0 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 8.0 | 6.0 | 35 | 2.3 | 69.4 | 37.5 | 25.0 | 75.0 | -0.19 | 51.2 | 43.8 |
| Tate Goolesby | - | 1 | 30.0 | 6.0 | 4.0 | 2.0 | 1.0 | 0.0 | 3.0 | 6.0 | 4.0 | -12 | -1.2 | -4.3 | 33.3 | 0.0 | 100.0 | 0.96 | 43.6 | 33.3 |
| Nate Johns | - | 1 | 16.0 | 6.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 7.0 | -29 | -3.2 | -41.4 | 75.0 | 0 | 0 | 0.05 | 75.0 | 75.0 |
| Myles Murphy | - | 1 | 7.0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 8.0 | -5.0 | 28 | 1.6 | 14.5 | 12.5 | 25.0 | 0 | 0.59 | 18.8 | 18.8 |
| Jaylen Washington | - | 1 | 12.0 | 2.0 | 4.0 | 1.0 | 1.0 | 0.0 | 2.0 | 4.0 | 2.0 | -23 | -2.6 | -9.8 | 25.0 | 0.0 | 0 | 0.75 | 25.0 | 25.0 |
| Jeremy Autin | - | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -48 | -3.4 | -119.9 | 0 | 0 | 0 | -0.2 | 0 | 0 |
| DaQuan Hawkins | - | 1 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -2.0 | 19 | 2.1 | 11.4 | 0.0 | 0 | 0 | 1.18 | 0.0 | 0.0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG