Curry
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 → | 840 (#460) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 786 (#542) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 814 (#679) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -16.8 (#337) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -16.7 (#575) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.172 (#601) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.056 (#517) | NetEff -18.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.066 (#575) | AdjNet -22.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.061 (#574) | AdjNet -23.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.209 (#571) | AdjO 55.1 | AdjD 69.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.264 (#628) | AdjO 54.4 | AdjD 65.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.154 (#631) | 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 → | 0.161 (#632) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 738 (#522) | RD 110 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-10 | vs | Babson | L | 46 - 78 |
| 2025-11-13 | @ | New England Col. | W | 57 - 54 |
| 2025-11-15 | @ | Clark (MA) | L | 55 - 80 |
| 2025-11-19 | @ | Roger Williams | L | 44 - 68 |
| 2025-11-22 | vs | Emmanuel (MA) | L | 63 - 79 |
| 2025-11-25 | vs | Hamilton | L | 52 - 70 |
| 2025-12-02 | vs | Nichols | L | 35 - 54 |
| 2025-12-29 | vs | Framingham St. | L | 64 - 70 |
| 2025-12-30 | @ | Haverford | L | 54 - 67 |
| 2026-01-10 | vs | WPI | L | 43 - 52 |
| 2026-01-14 | vs | Hartford | L | 55 - 60 |
| 2026-01-17 | @ | Gordon | W | 68 - 63 |
| 2026-01-20 | vs | Endicott | L | 45 - 60 |
| 2026-01-24 | vs | JWU (Providence) | L | 54 - 72 |
| 2026-01-28 | @ | U New England | L | 57 - 71 |
| 2026-01-31 | @ | Williams | L | 58 - 81 |
| 2026-02-03 | vs | Western New Eng. | L | 61 - 70 |
| 2026-02-07 | vs | Wentworth | W | 67 - 55 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Lauren Dunn | - | 18 | 32.4 | 9.6 | 3.5 | 2.1 | 1.4 | 0.2 | 3.5 | 8.6 | 4.7 | -140 | -7.4 | -28.6 | 35.5 | 23.9 | 74.2 | -2.16 | 47.2 | 40.6 |
| Ella Palanza | - | 17 | 23.2 | 9.5 | 6.6 | 0.7 | 1.4 | 0.1 | 3.6 | 7.9 | 6.7 | -83 | -4.6 | -23.2 | 40.7 | 15.8 | 59.3 | -1.17 | 47.2 | 41.9 |
| Kasey Reeves | - | 18 | 25.2 | 8.2 | 4.9 | 1.4 | 1.2 | 0.4 | 2.8 | 7.9 | 5.5 | -113 | -5.9 | -29.5 | 38.0 | 21.4 | 83.7 | 1.85 | 45.7 | 39.1 |
| Lauren Morse | - | 18 | 24.1 | 7.9 | 1.5 | 0.6 | 0.5 | 0.0 | 2.3 | 8.1 | 0.2 | -124 | -6.9 | -36.8 | 33.1 | 31.1 | 63.6 | -2.6 | 46.2 | 44.5 |
| Sophie Hilbrunner | - | 17 | 20.7 | 5.6 | 3.9 | 1.5 | 0.3 | 0.5 | 1.9 | 6.4 | 3.5 | -84 | -4.7 | -65.9 | 28.7 | 0.0 | 75.0 | 0.49 | 37.3 | 28.7 |
| Samantha Conti | - | 18 | 27.7 | 4.2 | 5.2 | 2.1 | 1.7 | 0.1 | 2.6 | 4.7 | 6.1 | -108 | -5.7 | -25.1 | 33.3 | 16.7 | 50.0 | -1.94 | 39.1 | 36.3 |
| Grace Fleuriel | - | 18 | 11.6 | 4.1 | 3.7 | 0.6 | 0.2 | 0.3 | 1.4 | 3.7 | 3.8 | -11 | -0.6 | -6.5 | 38.8 | 0 | 71.0 | -0.38 | 45.9 | 38.8 |
| Libby Harris | - | 18 | 10.6 | 1.9 | 0.8 | 0.5 | 0.1 | 0.0 | 0.9 | 2.2 | 0.3 | -56 | -2.9 | -51.6 | 28.2 | 27.6 | 66.7 | -2.72 | 40.8 | 38.5 |
| Jess LaFlamme | - | 16 | 8.9 | 1.6 | 0.5 | 0.2 | 0.4 | 0.1 | 0.7 | 1.9 | 0.1 | -37 | -2.2 | -27.3 | 25.8 | 25.0 | 100.0 | 0.24 | 39.2 | 37.1 |
| Olivia Roy | - | 14 | 8.1 | 1.6 | 1.3 | 0.1 | 0.4 | 0.0 | 0.6 | 1.9 | 0.9 | -17 | -1.1 | -17.6 | 34.6 | 35.7 | 0.0 | -2.26 | 42.8 | 44.2 |
| Ellery Campbell | - | 7 | 6.8 | 1.6 | 1.0 | 0.1 | 0.0 | 0.1 | 0.9 | 1.4 | 0.6 | -33 | -5.5 | -35.5 | 30.0 | 0 | 71.4 | -1.63 | 42.0 | 30.0 |
| Nevaeh Scribner | - | 13 | 4.9 | 0.6 | 0.5 | 0.1 | 0.2 | 0.1 | 0.7 | 0.9 | -0.2 | -24 | -1.6 | -27.4 | 25.0 | 0.0 | 40.0 | -2.22 | 28.2 | 25.0 |
| Lauren Reen | - | 15 | 6.9 | 0.6 | 0.4 | 0.6 | 0.0 | 0.0 | 0.5 | 1.0 | 0.1 | -51 | -3.4 | -77.1 | 20.0 | 15.4 | 50.0 | -1.48 | 28.3 | 26.7 |
| Audrey Hernandez | - | 3 | 2.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -23 | -3.3 | -116.7 | 0 | 0 | 0 | -0.39 | 0 | 0 |
| Emma Burke | - | 1 | 8.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | 3 | 3.0 | 18.7 | 0.0 | 0.0 | 0 | -0.01 | 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