Washburn
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 → | 1184 (#6) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1293 (#1) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.5 (#1) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.915 (#119) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.933 (#56) | NetEff +24.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.983 (#34) | AdjNet +34.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.984 (#33) | AdjNet +35.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.917 (#40) | AdjO 90.6 | AdjD 64.2 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jacob Hanna | - | 33 | 32.0 | 15.8 | 5.8 | 3.5 | 1.1 | 0.4 | 2.8 | 9.5 | 14.3 | 116 | 3.5 | 8.9 | 51.1 | 37.3 | 71.0 | 1.33 | 61.1 | 54.1 |
| Brayden Shorter | - | 34 | 30.5 | 14.8 | 3.9 | 1.1 | 0.9 | 0.2 | 1.2 | 12.4 | 7.3 | 28 | 0.8 | 2.1 | 40.7 | 35.7 | 75.8 | 2.04 | 56.0 | 53.9 |
| Andrew Orr | - | 34 | 21.3 | 14.0 | 4.1 | 1.1 | 0.9 | 0.5 | 1.9 | 8.7 | 10.1 | 152 | 4.9 | 13.8 | 64.1 | 33.3 | 84.1 | 1.28 | 68.9 | 64.4 |
| Jack Bachelor | - | 34 | 30.0 | 13.6 | 3.3 | 5.5 | 1.7 | 0.1 | 1.9 | 9.5 | 12.8 | 309 | 7.0 | 23.0 | 46.7 | 39.1 | 85.6 | 2.68 | 62.3 | 57.0 |
| Michael Keegan | - | 34 | 24.0 | 7.6 | 4.7 | 2.0 | 2.1 | 0.7 | 0.7 | 4.6 | 12.0 | 110 | 3.5 | 9.6 | 66.5 | 35.0 | 62.5 | 1.3 | 71.0 | 71.0 |
| Dillon Claussen | - | 33 | 14.9 | 7.5 | 3.8 | 0.9 | 0.4 | 0.8 | 0.8 | 4.1 | 8.5 | 14 | 0.7 | 3.4 | 67.2 | 100.0 | 71.4 | 0.72 | 70.7 | 67.5 |
| Brady Christiansen | - | 33 | 21.7 | 7.2 | 5.5 | 0.9 | 0.8 | 0.3 | 0.8 | 5.2 | 8.8 | 10 | 0.3 | 1.8 | 46.8 | 37.1 | 75.9 | 0.82 | 60.8 | 57.3 |
| Sam Ungashick | - | 27 | 12.1 | 2.9 | 1.6 | 1.0 | 0.4 | 0.2 | 0.9 | 2.9 | 2.3 | 9 | 0.3 | 2.5 | 36.7 | 20.0 | 92.3 | 0.42 | 46.6 | 42.4 |
| Tyson Ruud | - | 25 | 4.4 | 1.7 | 1.0 | 0.2 | 0.1 | 0.2 | 0.3 | 1.3 | 1.6 | 70 | 2.9 | 109.7 | 53.1 | 20.0 | 88.9 | -0.48 | 59.8 | 54.7 |
| Jake Schadegg | - | 33 | 4.5 | 1.3 | 0.4 | 0.4 | 0.2 | 0.1 | 0.5 | 1.3 | 0.6 | 10 | 1.0 | 21.1 | 30.2 | 34.6 | 57.1 | -0.57 | 43.7 | 40.7 |
| Kade Cook | - | 34 | 3.0 | 0.8 | 0.6 | 0.1 | 0.1 | 0.1 | 0.1 | 0.6 | 1.0 | 37 | 2.6 | 83.5 | 45.5 | 25.0 | 53.8 | -0.59 | 50.5 | 47.7 |
| Cole Parker | - | 34 | 1.3 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.1 | 0.5 | 0.1 | 1 | 0.1 | 5.2 | 38.9 | 25.0 | 0 | -0.97 | 47.2 | 47.2 |
| Zaid Dajani | - | 34 | 1.8 | 0.4 | 0.1 | 0.1 | 0.1 | 0.0 | 0.2 | 0.5 | 0.0 | 1 | 0.1 | 5.2 | 33.3 | 33.3 | 0.0 | -0.97 | 40.7 | 41.7 |
| Wyatt Lewis | - | 20 | 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