Mont. St. Billings
Model Outputs
2024-2025
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1056 (#95) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1112 (#66) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.2 (#61) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.688 (#226) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.568 (#185) | NetEff +2.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.850 (#195) | AdjNet +15.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.853 (#197) | AdjNet +15.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.734 (#202) | AdjO 82.4 | AdjD 71.3 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kael Robinson | - | 33 | 32.3 | 17.1 | 6.8 | 2.7 | 0.7 | 1.0 | 2.2 | 11.7 | 14.5 | -35 | -1.1 | -2.8 | 54.0 | 37.4 | 77.4 | 0.24 | 62.6 | 58.4 |
| Jalen Tot | - | 33 | 33.8 | 16.0 | 4.6 | 2.9 | 1.8 | 0.1 | 2.3 | 14.9 | 8.1 | -10 | -0.3 | -0.8 | 35.7 | 31.7 | 73.4 | 0.11 | 48.1 | 44.2 |
| Brendon Johnson | - | 33 | 32.1 | 14.0 | 5.8 | 2.3 | 1.0 | 0.1 | 1.2 | 9.4 | 12.6 | -70 | -2.3 | -5.4 | 48.6 | 44.1 | 89.0 | 1.19 | 64.4 | 58.7 |
| Famous Lefthand | - | 25 | 28.2 | 10.9 | 2.4 | 1.4 | 0.4 | 0.4 | 0.9 | 10.0 | 4.6 | -91 | -4.0 | -12.1 | 40.0 | 37.6 | 87.0 | 0.23 | 52.5 | 50.6 |
| Cooper Dewitt | - | 33 | 26.7 | 7.4 | 4.1 | 2.1 | 1.9 | 0.5 | 1.1 | 6.8 | 8.1 | 21 | 1.1 | 2.2 | 43.8 | 32.5 | 70.0 | 1.0 | 51.2 | 49.6 |
| Jajuan Tot | - | 33 | 24.0 | 4.8 | 2.5 | 2.4 | 1.5 | 0.0 | 1.1 | 5.0 | 5.0 | -34 | -1.9 | -5.4 | 39.6 | 28.9 | 63.6 | 0.54 | 45.2 | 43.6 |
| Pedro Ellery | - | 15 | 10.5 | 3.1 | 0.8 | 0.5 | 0.2 | 0.0 | 0.6 | 2.1 | 1.9 | - | - | - | 38.7 | 38.1 | 93.3 | - | 61.2 | 51.6 |
| Fares Kacem | - | 31 | 7.9 | 2.7 | 2.0 | 0.3 | 0.2 | 0.5 | 0.5 | 2.2 | 2.9 | -40 | -2.4 | -12.3 | 52.2 | 50.0 | 70.0 | 0.17 | 57.9 | 56.5 |
| David Jones | - | 21 | 10.2 | 1.9 | 2.2 | 0.7 | 0.4 | 0.7 | 0.3 | 1.7 | 3.9 | 24 | 2.2 | 12.1 | 48.6 | 0.0 | 75.0 | 0.0 | 51.9 | 48.6 |
| Hanniel Ouattarra | - | 25 | 5.2 | 1.5 | 1.4 | 0.2 | 0.0 | 0.2 | 0.4 | 1.3 | 1.7 | 0 | 0.0 | 0.0 | 42.4 | 28.6 | 77.8 | -0.4 | 50.1 | 45.5 |
| Cooper Tyson | - | 32 | 4.8 | 0.7 | 0.5 | 0.1 | 0.2 | 0.1 | 0.1 | 0.6 | 0.9 | 25 | 1.0 | 12.3 | 50.0 | 16.7 | 50.0 | 0.07 | 53.4 | 52.8 |
| Jamil Khan | - | 16 | 0.8 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.4 | 0.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| Jesiah Stutts | - | 29 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | -0.2 | -5 | -0.7 | -57.4 | 0.0 | 0.0 | 0 | -1.29 | 0.0 | 0.0 |
| Gabe Hatler | - | 3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Rhyse Owens | - | 3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 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