Bellarmine
Also known as: Bellarmine
Program History
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1051 (#242) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1016 (#325) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.1 (#246) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.985 (#155) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.991 (#86) | NetEff +33.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.936 (#179) | AdjNet +23.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.935 (#183) | AdjNet +22.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.808 (#171) | AdjO 78.3 | AdjD 62.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.561 (#283) | AdjO 63.4 | AdjD 60.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.705 (#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 → | 0.685 (#229) | Blend of Elo, BT, Margin, PythLog, PtsOD |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Triniti Ralston | - | 1 | 28.7 | 13.0 | 10.0 | 6.0 | 1.0 | 0.0 | 2.0 | 8.0 | 20.0 | - | - | - | 25.0 | 0.0 | 81.8 | - | 50.6 | 25.0 |
| Haya Abdel Aal | - | 1 | 20.8 | 12.0 | 9.0 | 0.0 | 1.0 | 1.0 | 1.0 | 11.0 | 11.0 | - | - | - | 54.5 | 0 | 0.0 | - | 50.5 | 54.5 |
| Ashlee Harris | - | 1 | 26.0 | 10.0 | 6.0 | 5.0 | 3.0 | 1.0 | 1.0 | 6.0 | 18.0 | 34 | 2.3 | 44.8 | 66.7 | 50.0 | 0 | 2.47 | 83.3 | 83.3 |
| Kayce Hyman | - | 1 | 18.8 | 10.0 | 2.0 | 0.0 | 1.0 | 0.0 | 3.0 | 9.0 | 1.0 | - | - | - | 33.3 | 0.0 | 100.0 | - | 46.5 | 33.3 |
| Rachel Shropshire | - | 1 | 23.9 | 9.0 | 6.0 | 1.0 | 2.0 | 0.0 | 2.0 | 6.0 | 10.0 | - | - | - | 50.0 | 50.0 | 50.0 | - | 65.4 | 66.7 |
| Kendall Wingler | - | 1 | 32.3 | 9.0 | 4.0 | 6.0 | 1.0 | 0.0 | 0.0 | 7.0 | 13.0 | - | - | - | 42.9 | 33.3 | 100.0 | - | 60.5 | 57.1 |
| Patricia Sherrill | - | 1 | 9.5 | 5.0 | 4.0 | 1.0 | 0.0 | 0.0 | 2.0 | 6.0 | 2.0 | - | - | - | 16.7 | 0 | 75.0 | - | 32.2 | 16.7 |
| Ava Smith | - | 1 | 19.2 | 5.0 | 2.0 | 0.0 | 2.0 | 0.0 | 0.0 | 6.0 | 3.0 | 16 | 0.9 | 6.1 | 33.3 | 20.0 | 0 | 3.61 | 41.7 | 41.7 |
| Rose Jamison | - | 1 | 10.7 | 2.0 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 3.0 | 3.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| Andrea Chiquemba | - | 1 | 10.3 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 7.0 | -3.0 | - | - | - | 14.3 | 0.0 | 0 | - | 14.3 | 14.3 |
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