Maine
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 → | 0.999 (#66) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.917 (#168) | AdjNet +20.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.922 (#165) | AdjNet +20.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.843 (#152) | AdjO 90.0 | AdjD 71.5 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-08 | vs | Me.-Presque Isle | W | 111 - 59 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Logan Carey | - | 1 | 20.0 | 20.0 | 6.0 | 3.0 | 3.0 | 0.0 | 2.0 | 12.0 | 18.0 | - | - | - | 75.0 | 25.0 | 33.3 | - | 75.1 | 79.2 |
| Kellen Tynes | - | 1 | 18.0 | 18.0 | 2.0 | 0.0 | 4.0 | 0.0 | 0.0 | 12.0 | 12.0 | - | - | - | 66.7 | 0.0 | 66.7 | - | 67.6 | 66.7 |
| Milos Nenadic | - | 1 | 12.0 | 16.0 | 10.0 | 2.0 | 0.0 | 0.0 | 1.0 | 9.0 | 18.0 | - | - | - | 88.9 | 0 | 0.0 | - | 84.7 | 88.9 |
| A.J. Lopez | - | 1 | 17.0 | 14.0 | 5.0 | 2.0 | 2.0 | 1.0 | 1.0 | 7.0 | 16.0 | -20 | -2.0 | -47.1 | 85.7 | 0.0 | 100.0 | -0.13 | 88.8 | 85.7 |
| Peter Filipovity | - | 1 | 13.0 | 12.0 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 8.0 | 8.0 | - | - | - | 75.0 | 0.0 | 0 | - | 75.0 | 75.0 |
| Jaden Clayton | - | 1 | 20.0 | 7.0 | 1.0 | 6.0 | 2.0 | 0.0 | 2.0 | 6.0 | 8.0 | - | - | - | 50.0 | 50.0 | 0 | - | 58.3 | 58.3 |
| Isaac Bonilla | - | 1 | 16.0 | 5.0 | 2.0 | 3.0 | 0.0 | 0.0 | 1.0 | 3.0 | 6.0 | - | - | - | 33.3 | 33.3 | 100.0 | - | 64.4 | 50.0 |
| Quion Burns | - | 1 | 21.0 | 5.0 | 10.0 | 0.0 | 0.0 | 1.0 | 1.0 | 8.0 | 7.0 | - | - | - | 25.0 | 33.3 | 0 | - | 31.2 | 31.2 |
| Kristians Feierbergs | - | 1 | 10.0 | 5.0 | 4.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 | 7.0 | - | - | - | 50.0 | 0.0 | 100.0 | - | 75.3 | 50.0 |
| Ja'Shonte Wright-Mcleish | - | 1 | 16.0 | 5.0 | 0.0 | 3.0 | 2.0 | 0.0 | 0.0 | 5.0 | 5.0 | - | - | - | 40.0 | 25.0 | 0 | - | 50.0 | 50.0 |
| Adam Cisse | - | 1 | 13.0 | 2.0 | 6.0 | 2.0 | 0.0 | 1.0 | 1.0 | 1.0 | 9.0 | - | - | - | 100.0 | 0 | 0.0 | - | 53.2 | 100.0 |
| Bryce Lausier | - | 1 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| John Shea | - | 1 | 4.0 | 2.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 | 2.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| Ayme Daguilh | - | 1 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Novak Perovic | - | 1 | 11.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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