Wentworth
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 → | 838 (#461) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 596 (#600) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 714 (#725) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -43.4 (#416) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -40.9 (#698) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.016 (#703) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.004 (#567) | NetEff -34.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.001 (#714) | AdjNet -55.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.001 (#713) | AdjNet -56.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.049 (#705) | AdjO 40.6 | AdjD 73.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.053 (#718) | AdjO 39.7 | AdjD 71.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.017 (#716) | 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 → | 0.019 (#719) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 560 (#573) | RD 116 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | Fitchburg St. | L | 38 - 54 |
| 2025-11-12 | @ | Dean | L | 56 - 85 |
| 2025-11-15 | @ | Lesley | L | 49 - 51 |
| 2025-11-19 | @ | Gordon | L | 59 - 65 |
| 2025-11-22 | @ | VTSU Lyndon | L | 47 - 66 |
| 2025-11-25 | vs | Wellesley | L | 41 - 75 |
| 2025-12-02 | vs | Suffolk | L | 32 - 68 |
| 2025-12-13 | vs | MCLA | W | 59 - 31 |
| 2025-12-16 | vs | UMass Boston | L | 48 - 79 |
| 2025-12-30 | @ | Elms | L | 37 - 50 |
| 2026-01-10 | vs | Gordon | L | 30 - 63 |
| 2026-01-14 | vs | JWU (Providence) | L | 36 - 79 |
| 2026-01-17 | @ | Western New Eng. | L | 33 - 86 |
| 2026-01-20 | @ | U New England | L | 32 - 85 |
| 2026-01-24 | vs | Hartford | L | 37 - 68 |
| 2026-01-28 | @ | Endicott | L | 32 - 73 |
| 2026-02-03 | vs | Nichols | L | 37 - 79 |
| 2026-02-07 | @ | Curry | L | 55 - 67 |
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 Luna Zayas | - | 17 | 38.9 | 12.4 | 3.5 | 1.1 | 0.6 | 0.0 | 4.1 | 13.8 | -0.3 | -253 | -16.9 | -67.3 | 30.2 | 30.1 | 52.4 | -3.68 | 41.6 | 40.2 |
| Taylor Garabedian | - | 18 | 39.2 | 12.3 | 11.1 | 2.2 | 1.7 | 0.5 | 3.7 | 12.9 | 11.3 | -265 | -16.6 | -71.5 | 33.6 | 19.2 | 62.2 | -3.76 | 40.3 | 34.7 |
| Elise Ayer | - | 18 | 33.2 | 6.3 | 7.4 | 1.3 | 1.1 | 0.0 | 3.6 | 7.0 | 5.4 | -221 | -13.8 | -67.0 | 38.9 | 50.0 | 45.2 | -4.88 | 40.5 | 39.3 |
| Grace Moltenbrey | - | 11 | 25.1 | 5.5 | 2.5 | 0.9 | 0.2 | 0.0 | 2.8 | 6.5 | -0.4 | -125 | -8.9 | -47.1 | 29.2 | 29.5 | 55.6 | 0.64 | 39.5 | 38.2 |
| Tita Rana | - | 18 | 32.6 | 3.6 | 4.9 | 2.3 | 1.1 | 0.4 | 5.3 | 5.1 | 1.9 | -237 | -14.8 | -80.0 | 22.8 | 16.7 | 55.9 | -3.73 | 29.9 | 24.5 |
| Gianna Gioia | - | 17 | 27.2 | 3.2 | 2.9 | 1.5 | 0.5 | 0.2 | 3.9 | 5.0 | -0.5 | -193 | -12.9 | -121.4 | 24.7 | 16.2 | 41.2 | -2.31 | 29.7 | 28.2 |
| Kailee McPhillips | - | 16 | 15.8 | 1.9 | 0.3 | 0.4 | 0.1 | 0.0 | 0.8 | 2.2 | -0.2 | -69 | -4.9 | -124.1 | 33.3 | 30.8 | 50.0 | -0.72 | 40.1 | 38.9 |
| Nya Breedy | - | 12 | 4.8 | 0.2 | 0.8 | 0.2 | 0.2 | 0.0 | 0.3 | 0.7 | 0.3 | -4 | -0.3 | -10.2 | 12.5 | 0.0 | 0 | 0.39 | 12.5 | 12.5 |
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