Black Hills 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 → | 1167 (#20) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1156 (#48) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.9 (#38) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.789 (#253) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.926 (#53) | NetEff +19.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.914 (#195) | AdjNet +20.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.925 (#192) | AdjNet +21.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.765 (#202) | AdjO 68.1 | AdjD 55.2 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kalla Bertram | - | 30 | 31.7 | 14.0 | 6.7 | 1.9 | 1.4 | 0.3 | 2.3 | 12.1 | 9.9 | 73 | 2.5 | 2.3 | 43.1 | 24.1 | 77.2 | 0.29 | 50.8 | 45.7 |
| Haylee Weathersby | - | 30 | 28.3 | 13.1 | 6.8 | 0.7 | 0.4 | 0.7 | 1.7 | 9.3 | 10.8 | 48 | 1.7 | 1.7 | 54.6 | 0.0 | 76.3 | 0.13 | 59.5 | 54.6 |
| Bradie Schlabs | - | 30 | 35.7 | 12.2 | 5.4 | 4.4 | 1.3 | 0.1 | 2.9 | 12.1 | 8.4 | 149 | 4.0 | 3.6 | 38.2 | 31.1 | 58.3 | 0.79 | 44.7 | 42.0 |
| Morgan Hammerbeck | - | 30 | 35.4 | 11.2 | 4.6 | 2.2 | 0.9 | 0.1 | 1.5 | 9.6 | 7.9 | 59 | 2.0 | 1.8 | 40.3 | 32.0 | 76.9 | 0.18 | 53.1 | 49.7 |
| Gracie Haneborg | - | 30 | 32.3 | 6.6 | 5.8 | 2.1 | 1.0 | 0.2 | 2.1 | 6.0 | 7.7 | 60 | 2.1 | 1.9 | 34.1 | 26.0 | 69.9 | 0.16 | 46.2 | 39.4 |
| Maureen Ulrich | - | 15 | 8.0 | 2.9 | 1.1 | 0.1 | 0.3 | 0.1 | 0.5 | 2.1 | 1.9 | 35 | 2.3 | 4.5 | 53.1 | 37.5 | 60.0 | 0.88 | 59.1 | 57.8 |
| Audrey Norville | - | 30 | 15.6 | 1.7 | 2.7 | 0.6 | 0.3 | 0.1 | 0.8 | 2.2 | 2.4 | 80 | 2.2 | 3.6 | 25.4 | 17.2 | 72.2 | 0.13 | 34.7 | 29.1 |
| Emily Cooper | - | 30 | 4.8 | 1.6 | 0.6 | 0.3 | 0.1 | 0.0 | 0.4 | 1.8 | 0.5 | 89 | 2.5 | 7.8 | 32.1 | 30.4 | 50.0 | 0.57 | 45.5 | 45.3 |
| Sawyer Stoebner | - | 28 | 3.6 | 1.2 | 0.8 | 0.2 | 0.2 | 0.0 | 0.3 | 1.0 | 1.0 | 51 | 2.0 | 5.2 | 48.3 | 25.0 | 33.3 | -0.24 | 47.8 | 50.0 |
| Cami Curtis | - | 29 | 1.8 | 0.6 | 0.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.9 | 0.0 | 2 | 0.1 | 1.4 | 19.2 | 14.3 | 83.3 | -0.29 | 31.4 | 25.0 |
| Alivia Pautz | - | 26 | 0.7 | 0.2 | 0.3 | 0.1 | 0.0 | 0.1 | 0.0 | 0.2 | 0.6 | -69 | -1.9 | -4.9 | 50.0 | 0 | 100.0 | -0.57 | 61.5 | 50.0 |
| Addicyn Kessinger | - | 16 | 0.3 | 0.2 | 0.2 | 0.0 | 0.0 | 0.1 | 0.1 | 0.1 | 0.3 | - | - | - | 50.0 | 0 | 50.0 | - | 52.1 | 50.0 |
| Tess Rule | - | 29 | 1.2 | 0.2 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | 0.2 | 0.3 | 92 | 4.8 | 26.4 | 40.0 | 0.0 | 50.0 | 0.91 | 44.4 | 40.0 |
| Payton Burda | - | 24 | 0.7 | 0.1 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
| Taylor Ray | - | 11 | 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