Augustana (SD)
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 → | 1058 (#90) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1095 (#80) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.9 (#68) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.640 (#261) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.436 (#245) | NetEff -2.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.914 (#115) | AdjNet +20.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.919 (#115) | AdjNet +20.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.810 (#112) | AdjO 85.5 | AdjD 69.6 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Akoi Akoi | - | 30 | 33.3 | 13.6 | 5.1 | 2.4 | 0.7 | 0.6 | 1.7 | 11.8 | 9.0 | -34 | -1.3 | -2.2 | 46.0 | 34.7 | 80.3 | 0.38 | 53.6 | 50.7 |
| Tanner Te Slaa | - | 30 | 34.1 | 13.6 | 5.2 | 1.4 | 1.0 | 0.4 | 2.4 | 10.7 | 8.4 | 56 | 1.5 | 3.6 | 41.9 | 37.6 | 86.6 | 0.48 | 57.1 | 52.5 |
| Sam Rensch | - | 30 | 31.8 | 12.3 | 4.8 | 2.0 | 1.5 | 0.2 | 1.6 | 11.8 | 7.5 | 0 | 0.0 | 0.0 | 38.2 | 37.0 | 74.2 | 1.39 | 48.3 | 45.3 |
| Tameron Ferguson | - | 30 | 33.4 | 10.2 | 3.9 | 3.4 | 1.6 | 0.1 | 1.0 | 9.2 | 9.1 | -18 | -0.5 | -1.1 | 45.1 | 23.8 | 53.7 | 1.46 | 49.3 | 47.8 |
| Bennett Fried | - | 30 | 26.3 | 7.5 | 5.0 | 1.2 | 0.6 | 0.9 | 0.8 | 5.6 | 8.9 | -22 | -0.7 | -1.9 | 58.1 | 32.3 | 56.4 | 1.69 | 61.4 | 61.1 |
| Kelton Coleman | - | 30 | 9.3 | 5.4 | 1.3 | 0.2 | 0.5 | 0.0 | 0.7 | 4.2 | 2.5 | -16 | -1.1 | -5.4 | 42.4 | 33.3 | 82.7 | -0.06 | 54.4 | 47.2 |
| Jack Hastreiter | - | 30 | 10.7 | 3.4 | 1.3 | 0.5 | 0.5 | 0.1 | 0.4 | 2.9 | 2.6 | 13 | 0.7 | 4.6 | 40.7 | 43.6 | 56.2 | 0.1 | 55.4 | 54.7 |
| Brady Helgren | - | 18 | 10.7 | 2.9 | 2.4 | 0.8 | 0.3 | 0.2 | 0.9 | 2.7 | 3.1 | 13 | 0.9 | 4.3 | 49.0 | 0.0 | 55.6 | 0.16 | 50.0 | 49.0 |
| Conner Kraft | - | 30 | 5.9 | 1.7 | 0.8 | 0.3 | 0.2 | 0.2 | 0.2 | 1.5 | 1.6 | 40 | 4.4 | 24.1 | 50.0 | 28.6 | 60.0 | 0.02 | 55.2 | 54.5 |
| Malyk Rebetez | - | 30 | 5.7 | 1.1 | 0.9 | 0.7 | 0.1 | 0.0 | 0.4 | 0.9 | 1.6 | 22 | 1.8 | 39.3 | 29.6 | 0.0 | 64.3 | -0.52 | 43.2 | 29.6 |
| Matt Eng | - | 28 | 0.2 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14 | 3.5 | 243.5 | 0.0 | 0.0 | 100.0 | -1.44 | 53.2 | 0.0 |
| Jacob Brandt | - | 30 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Hayden Brown | - | 30 | 0.2 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 5 | 5.0 | 87.0 | 0.0 | 0.0 | 0 | -1.44 | 0.0 | 0.0 |
| Don Don Ferguson | - | 10 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Caden Hinker | - | 9 | 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