Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
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 → | 1024 (#200) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1055 (#182) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.870 (#201) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.544 (#265) | NetEff +1.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.946 (#159) | AdjNet +24.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.951 (#157) | AdjNet +25.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.824 (#148) | AdjO 74.5 | AdjD 57.5 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-14 | vs | Regis (CO) | W | 78 - 68 |
| 2023-12-05 | vs | UCCS | W | 61 - 56 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Madison Smith | - | 2 | 33.5 | 19.0 | 9.0 | 2.0 | 3.0 | 0.5 | 4.0 | 19.0 | 10.5 | 47 | 6.7 | 9.7 | 39.5 | 36.4 | 66.7 | 0.22 | 46.8 | 44.7 |
| Milahnie Perry | - | 2 | 34.5 | 16.0 | 2.0 | 3.0 | 4.0 | 0.5 | 2.0 | 16.5 | 7.0 | - | - | - | 36.4 | 33.3 | 75.0 | 0.36 | 43.8 | 39.4 |
| Jayda McNabb | - | 2 | 33.0 | 14.0 | 10.0 | 1.5 | 4.0 | 1.0 | 0.5 | 8.0 | 22.0 | - | - | - | 62.5 | 50.0 | 50.0 | 0.39 | 63.2 | 65.6 |
| Dasha Macmillan | - | 2 | 29.5 | 7.0 | 5.5 | 1.5 | 1.0 | 0.0 | 2.0 | 9.5 | 3.5 | - | - | - | 31.6 | 28.6 | 0 | - | 36.8 | 36.8 |
| Keelie O'Hollaren | - | 2 | 12.0 | 6.0 | 2.0 | 0.0 | 0.5 | 0.0 | 2.0 | 6.5 | 0.0 | - | - | - | 38.5 | 22.2 | 0.0 | 0.5 | 44.6 | 46.2 |
| Alexis Cortez | - | 2 | 17.5 | 4.5 | 2.0 | 2.0 | 1.0 | 0.5 | 1.0 | 4.5 | 4.5 | - | - | - | 33.3 | 0 | 75.0 | 0.2 | 41.8 | 33.3 |
| Taylor Britt | - | 2 | 25.0 | 3.0 | 2.5 | 4.0 | 4.0 | 0.0 | 2.0 | 6.0 | 5.5 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
| Jordyn DeVaughn | - | 2 | 3.5 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.5 | 1.5 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Kam Jones | - | 2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5 | 1.0 | 4.7 | 0 | 0 | 0 | 0.26 | 0 | 0 |
| Clara Teigland | - | 2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Marissa Hargrave | - | 2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Parker Brown | - | 2 | 2.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Grace Walsh | - | 2 | 5.5 | 0.0 | 0.5 | 0.0 | 1.0 | 0.0 | 0.5 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Jo Huntimer | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | 0.35 | 0 | 0 |
| Emily Adams | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | 0.5 | 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