Sioux Falls
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 → | 1049 (#108) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1059 (#116) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.3 (#60) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.568 (#305) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.511 (#215) | NetEff +0.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.898 (#141) | AdjNet +18.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.903 (#136) | AdjNet +19.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.785 (#135) | AdjO 86.5 | AdjD 72.2 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Creighton Morisch | - | 29 | 29.2 | 13.7 | 10.5 | 3.6 | 0.8 | 1.7 | 2.0 | 10.0 | 18.0 | -36 | -1.3 | -2.5 | 51.9 | 34.1 | 75.5 | 0.8 | 58.6 | 54.3 |
| Noah Puetz | - | 29 | 27.7 | 13.5 | 4.6 | 3.1 | 0.7 | 0.2 | 2.4 | 10.7 | 8.9 | -12 | -0.5 | -1.5 | 45.5 | 33.7 | 80.0 | 0.32 | 55.7 | 51.0 |
| Taylen Ashley | - | 29 | 30.8 | 13.0 | 3.4 | 3.0 | 0.5 | 0.0 | 2.6 | 11.4 | 6.0 | -81 | -2.2 | -5.7 | 41.4 | 37.5 | 73.4 | 0.02 | 52.6 | 50.0 |
| Kyle Ingwerson | - | 29 | 27.4 | 10.7 | 4.4 | 1.0 | 0.6 | 0.4 | 1.3 | 9.2 | 6.7 | 13 | 0.4 | 1.2 | 41.0 | 38.3 | 73.3 | 0.49 | 55.3 | 53.9 |
| Shawn Warrior | - | 29 | 29.7 | 10.4 | 5.9 | 2.4 | 1.1 | 0.9 | 1.8 | 8.4 | 10.4 | -5 | -0.2 | -0.4 | 47.3 | 23.3 | 53.9 | 2.4 | 50.9 | 48.8 |
| Kenji Scales | - | 29 | 19.5 | 6.5 | 1.4 | 1.2 | 0.6 | 0.1 | 0.9 | 4.4 | 4.4 | -37 | -1.9 | -4.4 | 44.2 | 42.0 | 88.2 | 0.18 | 62.1 | 55.4 |
| Brandon Hrncir | - | 21 | 10.7 | 4.8 | 2.2 | 0.6 | 0.4 | 0.1 | 0.2 | 3.9 | 4.0 | -16 | -0.8 | -7.3 | 43.9 | 35.7 | 81.8 | 0.02 | 54.5 | 50.0 |
| Jack Cartwright | - | 25 | 8.7 | 2.6 | 0.8 | 0.5 | 0.1 | 0.0 | 0.3 | 2.0 | 1.7 | -13 | -1.1 | -8.3 | 41.2 | 50.0 | 62.5 | -0.14 | 59.6 | 58.8 |
| Josh Baker | - | 29 | 6.6 | 1.0 | 1.6 | 0.4 | 0.2 | 0.1 | 0.2 | 0.8 | 2.3 | -17 | -1.7 | -6.0 | 47.8 | 0.0 | 60.0 | 0.22 | 51.1 | 47.8 |
| Jacoby Mehrman | - | 29 | 6.9 | 1.0 | 1.1 | 0.7 | 0.1 | 0.0 | 0.4 | 1.4 | 1.1 | 26 | 1.6 | 165.1 | 28.6 | 30.8 | 50.0 | -0.99 | 33.8 | 33.3 |
| Adam Scherbakov | - | 29 | 1.0 | 0.7 | 0.1 | 0.2 | 0.0 | 0.0 | 0.0 | 0.6 | 0.4 | 0 | 0.0 | 0.0 | 41.2 | 41.7 | 50.0 | -1.39 | 55.9 | 55.9 |
| Sam Grant | - | 29 | 1.3 | 0.3 | 0.3 | 0.1 | 0.0 | 0.0 | 0.2 | 0.4 | 0.2 | -6 | -3.0 | -45.6 | 33.3 | 20.0 | 0 | -1.12 | 37.5 | 37.5 |
| Dylan Ruder | - | 29 | 0.7 | 0.3 | 0.2 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | 0.3 | 0 | 0.0 | 0.0 | 66.7 | 66.7 | 50.0 | -1.26 | 79.8 | 100.0 |
| Jacob Taitte | - | 29 | 1.0 | 0.2 | 0.3 | 0.1 | 0.0 | 0.0 | 0.1 | 0.2 | 0.3 | - | - | - | 42.9 | 0.0 | 0.0 | - | 40.3 | 42.9 |
| Eli Ehrke | - | 3 | 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