MSU Moorhead
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 → | 973 (#261) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 988 (#200) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.4 (#30) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.653 (#252) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.752 (#96) | NetEff +10.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.918 (#109) | AdjNet +21.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.922 (#106) | AdjNet +21.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.807 (#115) | AdjO 86.1 | AdjD 70.4 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Logan Kinsey | - | 34 | 32.2 | 14.6 | 5.3 | 1.4 | 0.9 | 0.2 | 1.6 | 11.4 | 9.4 | -64 | -1.9 | -3.0 | 48.8 | 37.7 | 70.6 | 2.44 | 57.2 | 54.4 |
| Carson Johnson | - | 33 | 24.5 | 13.8 | 2.1 | 2.1 | 0.8 | 0.0 | 1.7 | 10.8 | 6.2 | -77 | -3.3 | -5.0 | 43.7 | 41.8 | 84.4 | 0.88 | 57.3 | 52.7 |
| Jacob Jennissen | - | 34 | 29.4 | 11.9 | 8.3 | 0.7 | 0.4 | 1.0 | 1.2 | 7.1 | 14.0 | -44 | -1.4 | -2.1 | 63.3 | 37.5 | 70.7 | 1.35 | 67.7 | 64.6 |
| Jacob Beeninga | - | 22 | 23.2 | 11.8 | 2.6 | 2.4 | 0.7 | 0.0 | 1.1 | 9.2 | 7.2 | -10 | -0.6 | -0.9 | 40.4 | 31.5 | 89.3 | 1.02 | 54.9 | 47.3 |
| Shaun Wysocki | - | 34 | 25.8 | 7.6 | 3.9 | 1.1 | 0.6 | 0.8 | 0.9 | 5.5 | 7.7 | -82 | -3.2 | -5.7 | 50.8 | 28.6 | 66.7 | -1.19 | 57.7 | 54.0 |
| Sam Hastreiter | - | 34 | 26.6 | 7.2 | 4.1 | 1.0 | 0.5 | 0.2 | 1.2 | 5.5 | 6.3 | -62 | -1.9 | -3.3 | 42.2 | 42.2 | 82.0 | 0.41 | 58.6 | 54.5 |
| JaMir Price | - | 19 | 16.5 | 6.6 | 2.4 | 2.0 | 0.2 | 0.0 | 1.1 | 5.3 | 4.8 | 5 | 0.4 | 0.8 | 46.0 | 30.4 | 74.3 | 0.25 | 54.2 | 49.5 |
| Eddie Beeninga | - | 34 | 13.4 | 2.9 | 1.4 | 1.4 | 0.4 | 0.1 | 0.7 | 2.4 | 2.9 | -84 | -3.0 | -14.2 | 31.3 | 37.7 | 78.1 | 0.14 | 50.0 | 43.4 |
| Levi Birkholz | - | 34 | 6.4 | 1.9 | 1.0 | 0.6 | 0.1 | 0.0 | 0.6 | 1.4 | 1.6 | -34 | -1.5 | -38.9 | 41.7 | 41.2 | 65.4 | -0.28 | 53.8 | 49.0 |
| Adam Jenkins | - | 34 | 6.4 | 1.9 | 2.2 | 0.3 | 0.1 | 0.4 | 0.4 | 1.4 | 3.1 | -14 | -0.6 | -12.8 | 51.0 | 0 | 60.0 | -0.11 | 54.2 | 51.0 |
| Will Kinsey | - | 28 | 6.9 | 1.8 | 1.3 | 0.1 | 0.2 | 0.0 | 0.3 | 1.1 | 2.1 | 10 | 0.7 | 2.7 | 53.3 | 45.5 | 61.9 | 0.88 | 63.7 | 61.7 |
| Tysen Gerads | - | 34 | 3.1 | 1.1 | 0.2 | 0.1 | 0.1 | 0.0 | 0.2 | 0.7 | 0.5 | -23 | -1.4 | -40.9 | 60.0 | 0.0 | 70.0 | -0.51 | 62.9 | 60.0 |
| Jayden Doyle | - | 34 | 1.2 | 0.1 | 0.1 | 0.0 | 0.1 | 0.0 | 0.0 | 0.2 | 0.1 | -1 | -0.2 | -5.3 | 14.3 | 0.0 | 50.0 | -0.96 | 19.0 | 14.3 |
| Corleone Dandridge | - | 26 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Brody Wishart | - | 25 | 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