Missouri Western
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 → | 944 (#410) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1010 (#271) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 999 (#403) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.1 (#117) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.4 (#193) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.778 (#258) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.370 (#311) | NetEff -4.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.960 (#137) | AdjNet +27.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.968 (#129) | AdjNet +28.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.847 (#126) | AdjO 78.7 | AdjD 59.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.615 (#152) | AdjO 71.0 | AdjD 65.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.671 (#212) | 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 → | 0.660 (#220) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 996 (#261) | RD 148 | GP 5 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-21 | @ | Central Mo. | - | Incomplete score |
| 2026-01-23 | @ | Washburn | - | Incomplete score |
| 2026-01-31 | @ | Northwest Mo. St. | - | Incomplete score |
| 2026-02-05 | vs | Rogers St. | - | Incomplete score |
| 2026-02-07 | vs | Central Okla. | - | Incomplete score |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mia Morel | - | 5 | 38.4 | 17.6 | 4.0 | 2.6 | 3.2 | 0.0 | 3.0 | 14.2 | 10.2 | 40 | 2.0 | 6.5 | 38.0 | 37.9 | 76.7 | 1.03 | 52.3 | 45.8 |
| Ana Oliveira Dias | - | 5 | 38.2 | 15.6 | 5.4 | 4.8 | 2.4 | 0.0 | 4.4 | 13.6 | 10.2 | 112 | 5.3 | 18.5 | 44.1 | 30.0 | 65.2 | 0.59 | 49.9 | 46.3 |
| Nakiya Harris | - | 5 | 31.1 | 13.0 | 6.4 | 1.0 | 0.8 | 0.0 | 3.6 | 11.4 | 6.2 | 110 | 5.0 | 19.2 | 43.9 | 44.4 | 100.0 | 1.34 | 54.1 | 50.9 |
| Sydney Lewis | - | 5 | 20.5 | 7.4 | 9.2 | 0.6 | 0.6 | 0.8 | 1.4 | 5.8 | 11.4 | 135 | 6.1 | 40.2 | 48.3 | 0 | 32.1 | 2.69 | 44.8 | 48.3 |
| LaNicia Parker | - | 5 | 21.3 | 6.4 | 2.8 | 0.4 | 0.4 | 0.0 | 1.8 | 6.4 | 1.8 | 25 | 1.1 | 7.9 | 34.4 | 33.3 | 66.7 | -1.26 | 42.9 | 37.5 |
| Lindsey Kelderman | - | 5 | 24.7 | 4.0 | 2.4 | 0.6 | 1.0 | 0.0 | 0.4 | 4.2 | 3.4 | 142 | 6.5 | 25.8 | 38.1 | 30.8 | 0.0 | 4.34 | 45.7 | 47.6 |
| Tamesha Dozier | - | 4 | 10.3 | 2.0 | 1.5 | 0.2 | 0.2 | 0.0 | 0.8 | 3.0 | 0.2 | 38 | 1.9 | 22.5 | 25.0 | 0.0 | 100.0 | 0.37 | 31.1 | 25.0 |
| Meredith Rieker | - | 5 | 15.9 | 1.6 | 3.8 | 0.0 | 0.8 | 0.0 | 0.8 | 1.8 | 3.6 | 38 | 1.7 | 13.6 | 22.2 | 0.0 | 57.1 | 2.05 | 33.1 | 22.2 |
| Jada Smith | - | 4 | 5.9 | 0.8 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.8 | 0.8 | -42 | -2.3 | -22.7 | 33.3 | 33.3 | 0 | -2.94 | 50.0 | 50.0 |
| Taylor Horton | - | 2 | 1.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | 19 | 3.8 | 278.0 | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Ambranette Storr | - | 2 | 1.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | 13 | 1.3 | 59.9 | 0.0 | 0 | 0 | -0.23 | 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