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 → | 1053 (#128) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1139 (#95) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1024 (#272) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +5.1 (#135) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -0.6 (#378) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.727 (#349) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.749 (#254) | NetEff +7.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.730 (#304) | AdjNet +8.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.729 (#304) | AdjNet +8.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.596 (#305) | AdjO 58.2 | AdjD 53.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.553 (#300) | AdjO 54.9 | AdjD 52.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.585 (#302) | 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 → | 0.579 (#318) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1060 (#243) | RD 96 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | vs | Worcester St. | W | 54 - 45 |
| 2025-11-08 | @ | Clark (MA) | L | 52 - 55 |
| 2025-11-15 | @ | Bates | L | 53 - 63 |
| 2025-11-18 | vs | Connecticut Col. | W | 61 - 51 |
| 2025-11-25 | vs | U New England | W | 58 - 47 |
| 2025-12-03 | vs | Bridgewater St. | W | 73 - 53 |
| 2025-12-30 | vs | Hunter | L | 52 - 53 |
| 2025-12-31 | vs | Roger Williams | W | 52 - 47 |
| 2026-01-10 | @ | Curry | W | 52 - 43 |
| 2026-01-13 | @ | Bowdoin | L | 43 - 62 |
| 2026-01-17 | vs | Wheaton (MA) | W | 61 - 59 |
| 2026-01-21 | vs | MIT | L | 51 - 53 |
| 2026-01-24 | @ | Springfield | L | 55 - 70 |
| 2026-01-28 | @ | Babson | L | 30 - 52 |
| 2026-01-31 | vs | Emerson | W | 55 - 41 |
| 2026-02-04 | @ | Mount Holyoke | W | 60 - 49 |
| 2026-02-07 | @ | Salve Regina | L | 55 - 61 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ava Giansiracusa | - | 17 | 35.6 | 12.2 | 4.5 | 2.6 | 1.5 | 0.1 | 2.8 | 10.6 | 7.6 | -50 | -2.5 | -9.9 | 37.6 | 32.1 | 78.3 | 1.05 | 50.1 | 44.5 |
| Emmy Allyn | - | 17 | 33.0 | 9.4 | 3.4 | 1.5 | 1.0 | 0.4 | 2.1 | 10.6 | 2.9 | -39 | -2.1 | -8.5 | 33.3 | 25.0 | 63.3 | 0.44 | 41.4 | 39.2 |
| Ava Hyams | - | 17 | 29.1 | 8.1 | 7.6 | 1.0 | 0.9 | 0.0 | 2.1 | 7.4 | 8.1 | -50 | -2.5 | -12.5 | 42.4 | 44.4 | 82.1 | -2.55 | 49.9 | 45.6 |
| Leila Nielsen | - | 17 | 26.4 | 7.4 | 4.2 | 1.9 | 1.2 | 0.7 | 2.2 | 7.5 | 5.7 | -10 | -0.5 | -2.7 | 36.7 | 30.9 | 55.0 | 1.49 | 46.1 | 44.9 |
| Allison Fullem | - | 17 | 17.4 | 5.5 | 2.6 | 1.1 | 0.5 | 0.5 | 1.7 | 5.4 | 3.1 | 10 | 0.5 | 5.1 | 37.4 | 22.2 | 55.8 | 0.22 | 42.8 | 38.5 |
| Megan Stone | - | 17 | 22.0 | 4.6 | 4.8 | 1.5 | 0.3 | 0.2 | 1.4 | 4.4 | 5.6 | -31 | -1.6 | -8.2 | 41.9 | 0.0 | 59.3 | -0.26 | 45.4 | 41.9 |
| Kayla Goldrick | - | 16 | 17.7 | 3.1 | 1.9 | 0.7 | 0.8 | 0.1 | 1.5 | 2.8 | 2.2 | 6 | 0.3 | 2.0 | 37.8 | 33.3 | 83.3 | 1.47 | 49.7 | 44.4 |
| Delaney MacPhetres | - | 13 | 9.2 | 2.2 | 1.8 | 0.1 | 0.3 | 0.2 | 0.4 | 1.8 | 2.5 | -8 | -0.5 | -8.5 | 33.3 | 0.0 | 61.9 | -1.23 | 43.6 | 33.3 |
| Femke Jansen | - | 13 | 9.9 | 2.0 | 1.1 | 0.2 | 0.2 | 0.0 | 0.5 | 3.0 | -0.2 | 1 | 0.1 | 0.5 | 23.1 | 25.9 | 50.0 | 0.84 | 32.6 | 32.1 |
| Addison Pong | - | 2 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | 100.0 | 0 | 0 | -0.39 | 100.0 | 100.0 |
| Kayleigh Carson | - | 4 | 4.2 | 0.5 | 0.8 | 0.0 | 0.8 | 0.0 | 0.0 | 0.8 | 1.2 | -8 | -1.1 | -86.1 | 33.3 | 0.0 | 0 | 0.49 | 33.3 | 33.3 |
| Hailey Zembrzuski | - | 4 | 1.3 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.8 | -2 | -0.4 | -40.7 | 100.0 | 0 | 0 | -0.4 | 100.0 | 100.0 |
| Corinn Ouellette | - | 11 | 4.1 | 0.3 | 0.3 | 0.2 | 0.1 | 0.0 | 0.4 | 0.5 | 0.0 | 35 | 2.9 | 180.6 | 20.0 | 0 | 50.0 | -0.04 | 25.5 | 20.0 |
| Sadie Orie | - | 4 | 2.3 | 0.0 | 0.2 | 0.2 | 0.2 | 0.0 | 0.2 | 0.5 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | -0.39 | 0.0 | 0.0 |
| Faith Doyle | - | 2 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | 7 | 1.0 | 141.2 | 0.0 | 0 | 0 | -0.39 | 0.0 | 0.0 |
| Mariya-Antoaneta Neykova | - | 4 | 1.6 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | 0.2 | -0.5 | -12 | -3.0 | -351.2 | 0.0 | 0 | 0 | -0.39 | 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