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 → | 864 (#447) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 592 (#601) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 708 (#726) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -63.8 (#431) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -56.2 (#721) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.001 (#740) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.000 (#593) | NetEff -51.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.000 (#749) | AdjNet -79.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.000 (#749) | AdjNet -81.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.015 (#746) | AdjO 28.1 | AdjD 73.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.020 (#727) | AdjO 32.4 | AdjD 75.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.004 (#728) | 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 → | 0.005 (#728) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 495 (#583) | RD 128 | GP 15 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-15 | @ | VTSU Lyndon | L | 44 - 105 |
| 2025-11-24 | @ | Bard | L | 38 - 88 |
| 2025-12-01 | vs | SUNY Delhi | L | 45 - 58 |
| 2025-12-03 | @ | Dean | L | 43 - 75 |
| 2025-12-09 | vs | VTSU-Johnson | L | 39 - 44 |
| 2025-12-13 | @ | Wentworth | L | 31 - 59 |
| 2026-01-10 | @ | Anna Maria | L | 0 - 0 |
| 2026-01-14 | vs | Westfield St. | L | 22 - 90 |
| 2026-01-17 | @ | Bridgewater St. | L | 25 - 74 |
| 2026-01-21 | vs | Framingham St. | L | 24 - 89 |
| 2026-01-24 | vs | Fitchburg St. | L | 47 - 50 |
| 2026-01-28 | @ | Salem St. | L | 43 - 94 |
| 2026-01-31 | vs | Worcester St. | L | 43 - 73 |
| 2026-02-04 | vs | Anna Maria | L | 28 - 72 |
| 2026-02-07 | @ | Westfield St. | L | 50 - 79 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hailey Peabody | - | 13 | 30.3 | 12.2 | 8.2 | 0.8 | 2.4 | 1.1 | 3.7 | 14.4 | 6.6 | -111 | -10.1 | -33.0 | 33.2 | 22.2 | 60.5 | -4.47 | 39.0 | 36.4 |
| Abigail Scialabba | - | 14 | 35.9 | 8.4 | 5.5 | 1.9 | 1.5 | 0.3 | 5.0 | 15.6 | -2.9 | -193 | -16.1 | -53.1 | 19.7 | 15.0 | 69.6 | -2.54 | 25.9 | 23.4 |
| Dakota Quick | - | 14 | 26.9 | 8.1 | 5.6 | 0.8 | 0.5 | 0.2 | 3.1 | 8.6 | 3.6 | -147 | -13.4 | -41.3 | 32.5 | 33.8 | 75.0 | -3.94 | 44.5 | 42.1 |
| Ashlyn Bill | - | 14 | 31.4 | 3.6 | 6.1 | 1.0 | 0.6 | 1.1 | 3.5 | 6.9 | 2.1 | -190 | -15.8 | -68.4 | 23.7 | 0.0 | 31.2 | -2.69 | 24.5 | 23.7 |
| Amare Williams | - | 14 | 29.3 | 3.5 | 6.1 | 1.8 | 0.6 | 0.2 | 5.2 | 6.1 | 0.9 | -150 | -12.5 | -53.9 | 18.6 | 12.2 | 44.4 | -2.21 | 25.0 | 21.5 |
| Amaya Todd | - | 9 | 19.5 | 1.7 | 2.2 | 0.0 | 0.9 | 0.2 | 1.7 | 2.6 | 0.8 | -26 | -3.2 | -25.4 | 30.4 | 10.0 | 0 | -4.23 | 32.6 | 32.6 |
| Lauren Kimball | - | 14 | 14.3 | 0.9 | 1.6 | 0.4 | 0.5 | 0.0 | 2.4 | 1.9 | -0.9 | -112 | -10.2 | -47.8 | 23.1 | 0.0 | 0.0 | -1.09 | 22.0 | 23.1 |
| Khadija Faye | - | 14 | 11.3 | 0.3 | 0.5 | 0.1 | 0.0 | 0.0 | 1.7 | 0.8 | -1.6 | -64 | -5.8 | -57.7 | 18.2 | 0 | 0 | -2.63 | 18.2 | 18.2 |
| Jaydence Meribela | - | 13 | 11.0 | 0.1 | 1.2 | 0.2 | 0.2 | 0.1 | 1.5 | 0.9 | -0.5 | -52 | -4.7 | -50.9 | 0.0 | 0.0 | 33.3 | -2.51 | 3.8 | 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