Roberts Wesleyan
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 β | 791 (#512) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β | 783 (#508) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 893 (#623) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | -23.2 (#292) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | -16.7 (#574) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β | 0.101 (#536) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More β | 0.126 (#389) | NetEff -13.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More β | 0.044 (#634) | AdjNet -26.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More β | 0.044 (#631) | AdjNet -26.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More β | 0.191 (#621) | AdjO 57.8 | AdjD 73.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.260 (#638) | AdjO 54.1 | AdjD 65.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.164 (#619) | 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 β | 0.178 (#620) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 817 (#457) | RD 114 | GP 17 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-15 | vs | Bridgeport | L | 53 - 63 |
| 2025-11-19 | vs | Mansfield | W | 76 - 69 |
| 2025-11-22 | @ | Cedarville | L | 42 - 77 |
| 2025-12-03 | vs | Clarion | L | 67 - 84 |
| 2025-12-06 | vs | Ursuline | W | 82 - 78 |
| 2025-12-12 | @ | Molloy | L | 58 - 77 |
| 2025-12-14 | @ | Queens (NY) | L | 45 - 59 |
| 2026-01-11 | vs | Mercy | L | 51 - 71 |
| 2026-01-21 | @ | Dist. Columbia | L | 0 - 0 |
| 2026-01-24 | vs | Staten Island | W | 75 - 74 |
| 2026-01-28 | @ | D'Youville | L | 39 - 53 |
| 2026-01-31 | @ | Daemen | L | 49 - 86 |
| 2026-02-06 | @ | St. Thomas Aquinas | L | 71 - 92 |
| 2026-02-08 | @ | Mercy | W | 18 - 13 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jada Mushat | - | 13 | 27.5 | 14.8 | 3.0 | 1.8 | 2.6 | 0.5 | 2.9 | 14.5 | 5.2 | -116 | -6.8 | -33.2 | 37.0 | 27.6 | 65.3 | -0.74 | 45.8 | 42.6 |
| Aniyah Jones | - | 13 | 26.5 | 12.3 | 5.8 | 0.7 | 2.0 | 0.5 | 3.8 | 11.1 | 6.5 | -88 | -5.2 | -23.2 | 40.3 | 46.2 | 63.3 | -1.78 | 46.9 | 42.4 |
| Zhara Adeyemi | - | 7 | 17.6 | 7.7 | 4.7 | 0.6 | 1.4 | 0.3 | 1.9 | 9.4 | 3.4 | -40 | -4.4 | -93.3 | 36.4 | 0.0 | 60.0 | 0.38 | 38.4 | 36.4 |
| Erin Frazier | - | 13 | 24.0 | 6.5 | 7.5 | 1.7 | 1.8 | 1.6 | 3.4 | 7.8 | 7.8 | -42 | -2.5 | -12.1 | 30.4 | 15.4 | 72.0 | -0.99 | 37.2 | 32.4 |
| Sarah Seyfang | - | 12 | 15.4 | 5.0 | 2.3 | 0.3 | 0.8 | 0.3 | 1.7 | 4.5 | 2.6 | -43 | -2.7 | -19.4 | 38.9 | 38.5 | 65.0 | -0.54 | 47.8 | 43.5 |
| Cristina Gonzalez | - | 13 | 20.3 | 4.6 | 4.7 | 0.7 | 1.2 | 0.5 | 1.0 | 4.8 | 5.9 | -83 | -4.9 | -34.3 | 46.8 | 0.0 | 33.3 | -1.43 | 46.4 | 46.8 |
| Meaghan Doherty | - | 10 | 30.7 | 4.6 | 2.3 | 2.1 | 1.5 | 0.0 | 1.6 | 5.5 | 3.4 | -65 | -4.6 | -29.0 | 21.8 | 18.9 | 71.4 | -0.02 | 35.8 | 28.2 |
| Renee Anglin | - | 13 | 15.3 | 2.4 | 2.2 | 0.7 | 0.3 | 0.3 | 0.5 | 2.5 | 2.8 | -108 | -6.4 | -40.2 | 39.4 | 0.0 | 62.5 | -0.8 | 42.4 | 39.4 |
| Barbora FroΕkovΓ‘ | - | 9 | 5.8 | 2.1 | 0.6 | 0.3 | 0.3 | 0.0 | 0.9 | 1.7 | 0.8 | 1 | 0.1 | 1.1 | 40.0 | 37.5 | 66.7 | 1.64 | 53.9 | 50.0 |
| Laura Granada | - | 10 | 6.4 | 1.9 | 1.4 | 0.2 | 0.5 | 0.0 | 0.5 | 2.3 | 1.2 | -75 | -5.4 | -79.3 | 30.4 | 28.6 | 50.0 | 0.86 | 39.8 | 39.1 |
| Tierra Hendricks | - | 13 | 22.7 | 1.8 | 1.6 | 2.8 | 1.4 | 0.0 | 2.5 | 3.4 | 1.6 | -119 | -7.0 | -39.1 | 13.6 | 26.7 | 70.0 | -1.53 | 23.8 | 18.2 |
| Maria Ferrer Brao | - | 10 | 6.4 | 0.8 | 0.6 | 0.4 | 0.0 | 0.1 | 1.1 | 0.6 | 0.2 | -48 | -3.7 | -38.3 | 50.0 | 0 | 100.0 | 0.99 | 58.1 | 50.0 |
| Ariana Lynch | - | 7 | 3.2 | 0.7 | 0.0 | 0.1 | 0.3 | 0.0 | 0.6 | 0.3 | 0.3 | -27 | -2.7 | -139.4 | 50.0 | 0.0 | 50.0 | -0.32 | 53.9 | 50.0 |
| Danielle Offhaus | - | 2 | 3.3 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 0 | 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