Southwest Minn. St.
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 → | 1088 (#60) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1151 (#37) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.8 (#16) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.753 (#182) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.753 (#95) | NetEff +10.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.954 (#73) | AdjNet +26.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.956 (#71) | AdjNet +26.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.852 (#80) | AdjO 81.3 | AdjD 62.1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jakob Braaten | - | 30 | 30.2 | 14.3 | 5.6 | 3.4 | 1.8 | 0.3 | 2.6 | 10.0 | 12.7 | -106 | -3.0 | -7.0 | 53.2 | 38.8 | 80.2 | 0.53 | 62.7 | 58.7 |
| Aeron Stevens | - | 29 | 28.9 | 13.9 | 5.9 | 2.0 | 0.8 | 0.3 | 1.9 | 10.4 | 10.6 | -108 | -2.8 | -7.4 | 46.4 | 36.0 | 76.0 | 1.39 | 56.7 | 51.5 |
| Dunwa Omot | - | 29 | 24.1 | 10.8 | 1.8 | 1.0 | 0.8 | 0.5 | 0.9 | 8.6 | 5.4 | -55 | -2.4 | -4.4 | 44.0 | 35.4 | 75.4 | 0.24 | 57.1 | 54.2 |
| Steven Kramer | - | 30 | 27.4 | 9.8 | 3.8 | 1.7 | 1.1 | 0.1 | 2.0 | 7.8 | 6.7 | -41 | -1.6 | -3.1 | 44.0 | 24.6 | 83.3 | 2.14 | 53.9 | 47.0 |
| Mason Lund | - | 30 | 28.0 | 9.1 | 5.9 | 0.6 | 0.7 | 0.6 | 0.4 | 6.3 | 10.4 | -69 | -2.0 | -5.1 | 52.1 | 42.6 | 87.9 | 1.65 | 67.6 | 65.2 |
| Mekhi Shaw | - | 30 | 23.2 | 7.9 | 2.0 | 2.5 | 1.8 | 0.1 | 1.5 | 6.6 | 6.1 | -59 | -2.2 | -9.1 | 41.9 | 33.3 | 75.8 | 1.1 | 52.6 | 48.0 |
| Landon Pokorski | - | 19 | 10.9 | 3.7 | 1.4 | 0.9 | 0.4 | 0.0 | 0.9 | 3.2 | 2.3 | 4 | 0.2 | 1.4 | 42.6 | 43.8 | 80.0 | 0.31 | 55.4 | 54.1 |
| Calvin Buss | - | 30 | 18.2 | 2.8 | 2.7 | 0.5 | 0.3 | 0.5 | 0.2 | 1.9 | 4.7 | -68 | -2.7 | -19.4 | 61.4 | 42.9 | 35.3 | 0.2 | 65.9 | 69.3 |
| Caleb Schlaak | - | 30 | 9.6 | 2.8 | 2.8 | 0.3 | 0.6 | 0.4 | 0.3 | 2.1 | 4.5 | -18 | -1.3 | -9.9 | 53.1 | 28.6 | 66.7 | -0.06 | 57.3 | 54.7 |
| Nathan Fenske | - | 30 | 0.4 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | - | - | - | 75.0 | 100.0 | 0 | - | 87.5 | 87.5 |
| Matt Thompson | - | 30 | 0.7 | 0.2 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.4 | -0.1 | 99 | 4.5 | 9.6 | 27.3 | 14.3 | 0 | 0.02 | 31.8 | 31.8 |
| Ethan Koltz | - | 30 | 0.4 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Micah Schlaak | - | 9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Buay Koak | - | 29 | 0.4 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | -0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| Isaiah Schafer | - | 8 | 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