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 → | 1001 (#241) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 759 (#553) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 835 (#661) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -35.6 (#405) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -33.2 (#679) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.010 (#709) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 1.000 (#3) | NetEff +128.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.149 (#471) | NetEff -12.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.000 (#741) | AdjNet -67.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.000 (#739) | AdjNet -68.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.020 (#739) | AdjO 45.3 | AdjD 88.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.115 (#701) | AdjO 59.2 | AdjD 81.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.060 (#689) | 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 → | 0.067 (#689) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 761 (#508) | RD 109 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-04 | @ | Vermont | L | 31 - 137 |
| 2025-11-08 | vs | Nichols | L | 56 - 96 |
| 2025-11-10 | vs | Me.-Augusta | L | 66 - 78 |
| 2025-11-12 | vs | Wentworth | W | 85 - 56 |
| 2025-11-15 | @ | Colby | L | 47 - 103 |
| 2025-11-16 | vs | Thomas (ME) | L | 55 - 91 |
| 2025-11-18 | vs | Keene St. | L | 62 - 107 |
| 2025-11-20 | @ | Worcester St. | L | 79 - 95 |
| 2025-11-24 | @ | Fitchburg St. | W | 66 - 61 |
| 2025-12-03 | vs | MCLA | W | 75 - 43 |
| 2026-01-10 | vs | Rivier | L | 56 - 81 |
| 2026-01-14 | @ | Norwich | L | 55 - 82 |
| 2026-01-17 | @ | Colby-Sawyer | L | 52 - 77 |
| 2026-01-24 | @ | Lasell | L | 60 - 86 |
| 2026-01-28 | vs | Saint Joseph (CT) | L | 60 - 79 |
| 2026-01-31 | vs | New England Col. | W | 83 - 75 |
| 2026-02-03 | @ | Mitchell | W | 97 - 69 |
| 2026-02-07 | vs | St. Joseph's (ME) | L | 57 - 105 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Abigail Lacy | - | 18 | 34.3 | 18.9 | 6.2 | 1.1 | 1.1 | 0.1 | 2.7 | 16.6 | 8.2 | -88 | -8.8 | -34.3 | 35.9 | 29.8 | 76.8 | -0.76 | 48.3 | 41.1 |
| Azaria Landry | - | 18 | 34.6 | 14.8 | 3.3 | 1.3 | 1.4 | 0.1 | 4.2 | 16.1 | 0.6 | -66 | -6.6 | -27.1 | 34.5 | 26.3 | 58.6 | 1.66 | 41.6 | 39.0 |
| Jordan Ellis | - | 18 | 35.1 | 9.1 | 6.9 | 1.7 | 1.8 | 0.1 | 3.2 | 9.2 | 7.1 | -98 | -9.8 | -38.4 | 33.7 | 32.5 | 73.1 | -2.03 | 43.1 | 37.7 |
| Natalie Kerstein | - | 8 | 25.0 | 8.8 | 2.8 | 2.1 | 1.5 | 0.1 | 5.2 | 10.9 | -0.9 | - | - | - | 25.3 | 21.7 | 80.0 | - | 36.5 | 31.0 |
| Kendrah Doane | - | 18 | 36.4 | 8.3 | 6.8 | 3.3 | 2.2 | 0.0 | 2.4 | 5.7 | 12.5 | -89 | -9.9 | -38.3 | 41.7 | 44.0 | 72.1 | -1.25 | 61.5 | 57.8 |
| Kenzie Sherburne | - | 18 | 34.0 | 5.6 | 3.7 | 2.2 | 1.2 | 0.0 | 3.7 | 6.4 | 2.6 | -80 | -8.0 | -30.1 | 28.7 | 25.0 | 59.5 | -0.55 | 38.1 | 33.9 |
| Domineek Butler | - | 9 | 9.9 | 2.9 | 3.8 | 0.1 | 0.3 | 0.0 | 1.2 | 4.2 | 1.7 | - | - | - | 28.9 | 0.0 | 44.4 | - | 31.0 | 28.9 |
| Hallie Stokes | - | 3 | 13.5 | 2.0 | 0.7 | 0.0 | 0.0 | 0.0 | 1.0 | 3.3 | -1.7 | - | - | - | 20.0 | 20.0 | 0 | - | 30.0 | 30.0 |
| Alana Zirlis | - | 8 | 11.0 | 1.6 | 1.5 | 0.0 | 0.2 | 0.1 | 0.8 | 2.6 | 0.1 | - | - | - | 23.8 | 100.0 | 100.0 | - | 30.3 | 28.6 |
| Gianna Smith | - | 5 | 7.0 | 1.2 | 0.4 | 0.4 | 0.0 | 0.0 | 0.4 | 1.0 | 0.6 | -9 | -1.8 | -11.0 | 40.0 | 50.0 | 0 | -1.09 | 60.0 | 60.0 |
| Abi Boutin | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 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