Central Mo.
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 → | 1173 (#48) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1168 (#57) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1200 (#17) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.7 (#42) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +21.4 (#80) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.785 (#256) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.880 (#148) | NetEff +15.5 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.001 (#476) | NetEff -49.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.961 (#134) | AdjNet +27.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.966 (#132) | AdjNet +28.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.837 (#136) | AdjO 75.6 | AdjD 57.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.800 (#29) | AdjO 71.6 | AdjD 56.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.901 (#31) | 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 → | 0.895 (#29) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1283 (#19) | RD 100 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | vs | Mary | L | 55 - 65 |
| 2025-11-15 | @ | Augustana (SD) | W | 65 - 58 |
| 2025-11-18 | vs | MSU Moorhead | L | 66 - 68 |
| 2025-11-21 | @ | West Florida | W | 85 - 62 |
| 2025-11-24 | @ | Saint Leo | W | 87 - 33 |
| 2025-11-29 | vs | Evangel | W | 83 - 69 |
| 2025-12-04 | vs | Fort Hays St. | L | 60 - 65 |
| 2025-12-06 | vs | Neb.-Kearney | W | 72 - 69 |
| 2025-12-13 | @ | Washburn | W | 67 - 56 |
| 2025-12-15 | @ | Mo.-St. Louis | L | 57 - 59 |
| 2025-12-20 | vs | William Jewell | W | 83 - 43 |
| 2026-01-01 | vs | Emporia St. | W | 70 - 61 |
| 2026-01-10 | @ | Missouri Western | W | 58 - 55 |
| 2026-01-14 | @ | Newman | W | 64 - 54 |
| 2026-01-17 | @ | Emporia St. | L | 70 - 76 |
| 2026-01-21 | vs | Missouri Western | W | 80 - 71 |
| 2026-01-23 | vs | Northwest Mo. St. | W | 77 - 59 |
| 2026-01-29 | @ | Neb.-Kearney | W | 78 - 68 |
| 2026-01-31 | @ | Fort Hays St. | W | 81 - 69 |
| 2026-02-07 | vs | Washburn | W | 64 - 58 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reese Schaaf | - | 20 | 33.0 | 18.6 | 8.8 | 2.8 | 1.9 | 0.2 | 2.1 | 11.9 | 18.2 | 102 | 5.1 | 20.5 | 55.2 | 45.6 | 83.7 | 3.05 | 65.9 | 60.7 |
| Taylor Weishaar | - | 20 | 32.5 | 15.4 | 8.4 | 1.8 | 0.8 | 1.5 | 2.8 | 11.7 | 13.4 | 106 | 5.0 | 18.3 | 42.1 | 28.2 | 73.4 | -1.3 | 53.7 | 46.8 |
| Cierra Smith | - | 9 | 23.0 | 9.4 | 3.9 | 1.9 | 1.6 | 0.1 | 3.0 | 8.9 | 5.0 | 19 | 2.4 | 8.5 | 41.2 | 38.5 | 53.8 | -0.65 | 46.5 | 44.4 |
| Neely Schaaf | - | 20 | 27.4 | 7.8 | 4.0 | 2.8 | 0.9 | 0.1 | 2.6 | 6.0 | 7.0 | 150 | 7.5 | 32.7 | 36.4 | 33.3 | 78.6 | 2.81 | 53.6 | 46.3 |
| Hayden Heim | - | 20 | 26.4 | 7.1 | 4.7 | 1.8 | 0.5 | 1.0 | 1.8 | 6.4 | 6.9 | 110 | 5.5 | 23.5 | 44.5 | 30.0 | 46.4 | 1.17 | 50.6 | 50.4 |
| Makenzie Farmer | - | 20 | 22.4 | 6.8 | 2.6 | 2.1 | 0.9 | 0.5 | 1.6 | 6.5 | 4.8 | 112 | 5.6 | 31.2 | 36.9 | 30.8 | 68.0 | -0.09 | 48.6 | 46.2 |
| Jayla Griffith | - | 20 | 18.4 | 3.9 | 1.9 | 0.8 | 0.8 | 0.0 | 0.6 | 4.4 | 2.4 | 59 | 2.8 | 22.3 | 28.4 | 26.5 | 83.3 | 0.88 | 42.5 | 40.9 |
| Rylee Vierthaler | - | 20 | 17.6 | 3.5 | 1.9 | 0.9 | 0.2 | 0.4 | 1.2 | 2.5 | 3.4 | 3 | 0.1 | 1.1 | 65.3 | 0.0 | 58.3 | -0.76 | 65.4 | 65.3 |
| Jolie Bonderer | - | 18 | 8.8 | 2.4 | 0.9 | 1.2 | 0.5 | 0.0 | 0.6 | 1.7 | 2.7 | 30 | 1.6 | 24.4 | 51.6 | 33.3 | 100.0 | 0.02 | 64.6 | 59.7 |
| Amaria Musick | - | 12 | 10.3 | 2.4 | 2.0 | 0.7 | 0.2 | 0.0 | 1.0 | 3.2 | 1.1 | 4 | 0.3 | 4.3 | 28.9 | 25.0 | 71.4 | -1.93 | 35.3 | 31.6 |
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