Midwestern St.
Model Outputs
2025-2026
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 → | 881 (#460) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 887 (#446) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 883 (#630) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -6.1 (#225) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.4 (#343) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.408 (#396) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.497 (#280) | NetEff -0.1 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.000 (#520) | NetEff -58.2 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.000 (#536) | NetEff -116.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.646 (#339) | AdjNet +5.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.676 (#333) | AdjNet +6.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.577 (#333) | AdjO 68.5 | AdjD 65.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.434 (#491) | AdjO 71.1 | AdjD 74.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.422 (#428) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.410 (#440) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 818 (#449) | RD 157 | GP 5 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-22 | @ | Texas Woman's | L | 55 - 66 |
| 2026-01-24 | @ | UT Tyler | L | 0 - 0 |
| 2026-01-29 | @ | Cameron | W | 92 - 87 |
| 2026-01-31 | vs | Okla. Christian | L | 64 - 75 |
| 2026-02-03 | @ | Lubbock Christian | L | 69 - 89 |
| 2026-02-07 | @ | Texas-Dallas | L | 74 - 86 |
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kerbie Cash | - | 5 | 26.1 | 18.0 | 7.2 | 1.8 | 2.4 | 0.4 | 2.4 | 15.0 | 12.4 | -89 | -4.9 | -37.0 | 36.0 | 33.3 | 71.7 | -0.17 | 47.2 | 38.0 |
| Veonce Powell | - | 5 | 29.0 | 15.0 | 1.2 | 1.2 | 1.6 | 0.0 | 2.2 | 12.6 | 4.2 | 42 | 2.2 | 15.7 | 42.9 | 36.0 | 70.6 | 0.92 | 53.2 | 50.0 |
| Ta'Leeyah Glynn | - | 5 | 27.1 | 10.2 | 1.8 | 0.8 | 1.8 | 0.2 | 3.2 | 8.6 | 3.0 | -107 | -5.9 | -47.7 | 30.2 | 31.8 | 75.0 | -0.8 | 47.6 | 38.4 |
| Carisa Cortez | - | 5 | 25.7 | 7.2 | 2.6 | 2.4 | 1.4 | 0.0 | 1.0 | 7.2 | 5.4 | -116 | -6.1 | -42.2 | 27.8 | 31.6 | 83.3 | -2.84 | 43.6 | 36.1 |
| DaLonna Choice | - | 5 | 21.5 | 6.8 | 2.8 | 0.8 | 2.6 | 0.4 | 1.8 | 5.4 | 6.2 | -4 | -0.4 | -2.0 | 44.4 | 30.0 | 53.8 | 1.31 | 52.0 | 50.0 |
| Caelyn Williams | - | 1 | 17.5 | 6.0 | 5.0 | 0.0 | 2.0 | 1.0 | 2.0 | 2.0 | 10.0 | -66 | -6.0 | -152.2 | 50.0 | 0 | 100.0 | 1.86 | 79.8 | 50.0 |
| Macie Upshaw | - | 5 | 22.3 | 3.8 | 4.8 | 0.4 | 0.4 | 0.4 | 1.0 | 3.4 | 5.4 | -160 | -8.4 | -80.4 | 41.2 | 0.0 | 100.0 | -2.75 | 49.5 | 41.2 |
| Calyssa Sevier | - | 4 | 11.4 | 3.2 | 1.0 | 0.0 | 1.2 | 0.2 | 1.5 | 5.0 | -0.8 | -135 | -7.5 | -135.0 | 25.0 | 0.0 | 75.0 | -2.75 | 29.9 | 25.0 |
| Katy Greathouse | - | 5 | 8.3 | 2.8 | 1.2 | 0.4 | 0.4 | 0.4 | 0.2 | 2.4 | 2.6 | -67 | -4.2 | -85.3 | 50.0 | 40.0 | 0 | -2.81 | 58.3 | 58.3 |
| Saylor Upshaw | - | 5 | 16.6 | 2.2 | 5.0 | 0.2 | 0.2 | 0.0 | 1.6 | 1.8 | 4.2 | -39 | -2.4 | -26.2 | 44.4 | 0 | 75.0 | 1.13 | 51.1 | 44.4 |
| Catalina Cortez | - | 5 | 5.2 | 1.0 | 0.6 | 0.4 | 0.2 | 0.0 | 0.4 | 1.2 | 0.6 | -50 | -4.5 | -116.8 | 16.7 | 25.0 | 100.0 | 0.14 | 36.3 | 25.0 |
| Alyssa Hutterer | - | 5 | 5.5 | 0.0 | 0.4 | 0.2 | 0.2 | 0.0 | 0.0 | 0.6 | 0.2 | -45 | -2.5 | -82.1 | 0.0 | 0.0 | 0 | 1.82 | 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