Thomas (ME)
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 → | 1042 (#146) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1008 (#321) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 981 (#512) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -14.4 (#322) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -15.3 (#561) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.240 (#564) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.864 (#189) | NetEff +12.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.024 (#637) | AdjNet -31.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.019 (#637) | AdjNet -33.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.141 (#635) | AdjO 50.1 | AdjD 70.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.430 (#502) | AdjO 56.0 | AdjD 59.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.305 (#524) | 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 → | 0.328 (#512) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 985 (#332) | RD 109 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | Elms | W | 65 - 53 |
| 2025-11-09 | @ | St. Joseph's (ME) | L | 38 - 50 |
| 2025-11-15 | vs | Wellesley | L | 50 - 69 |
| 2025-11-16 | @ | Dean | W | 91 - 55 |
| 2025-11-21 | vs | Husson | L | 52 - 53 |
| 2025-11-22 | vs | Me.-Presque Isle | W | 83 - 41 |
| 2025-11-24 | vs | Colby-Sawyer | W | 66 - 52 |
| 2025-12-02 | @ | VTSU-Johnson | W | 60 - 47 |
| 2026-01-10 | @ | SUNY Delhi | W | 75 - 26 |
| 2026-01-11 | @ | SUNY Cobleskill | W | 62 - 58 |
| 2026-01-16 | @ | Husson | L | 57 - 69 |
| 2026-01-17 | @ | Me.-Presque Isle | W | 64 - 38 |
| 2026-01-20 | vs | Southern Me. | L | 52 - 81 |
| 2026-01-24 | vs | VTSU-Johnson | W | 75 - 34 |
| 2026-01-27 | vs | VTSU Lyndon | L | 53 - 60 |
| 2026-01-30 | @ | Maine Maritime | L | 43 - 63 |
| 2026-01-31 | @ | Me.-Farmington | L | 62 - 74 |
| 2026-02-07 | vs | Lesley | W | 71 - 36 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Pryelle Kesse-Beda | - | 18 | 27.1 | 13.7 | 7.1 | 0.9 | 1.1 | 1.8 | 2.4 | 13.2 | 8.9 | 2 | 0.1 | 0.6 | 42.9 | 0.0 | 68.3 | -1.1 | 46.5 | 42.9 |
| Elena Alderman | - | 18 | 29.7 | 10.6 | 3.2 | 2.8 | 0.8 | 0.8 | 1.7 | 7.8 | 8.7 | 24 | 1.3 | 6.0 | 50.0 | 40.0 | 74.4 | 3.17 | 59.8 | 56.4 |
| Roxy Dagostino | - | 12 | 16.1 | 10.0 | 4.7 | 1.0 | 1.0 | 0.1 | 2.4 | 8.5 | 5.8 | 1 | 0.1 | 0.9 | 45.1 | 35.0 | 63.6 | -0.56 | 53.7 | 52.0 |
| Emily Hagerty | - | 18 | 21.0 | 6.0 | 2.4 | 1.4 | 1.1 | 0.3 | 1.1 | 6.1 | 4.0 | 31 | 1.7 | 13.6 | 35.8 | 32.1 | 83.3 | -2.51 | 48.4 | 47.2 |
| Holly Loring | - | 18 | 24.7 | 5.5 | 5.6 | 1.7 | 1.6 | 0.2 | 1.7 | 4.9 | 7.9 | 11 | 0.6 | 2.8 | 44.3 | 60.0 | 66.7 | 0.17 | 49.6 | 46.0 |
| Kay Mclellan | - | 3 | 19.0 | 5.0 | 5.7 | 2.0 | 0.3 | 0.0 | 2.7 | 4.0 | 6.3 | 78 | 4.1 | 23.3 | 33.3 | 0.0 | 87.5 | 1.29 | 48.3 | 33.3 |
| Kaya Loring | - | 16 | 11.8 | 4.1 | 2.1 | 0.6 | 0.5 | 0.2 | 0.8 | 3.9 | 2.9 | 67 | 3.7 | 42.7 | 46.0 | 0.0 | 38.1 | 1.78 | 45.7 | 46.0 |
| Mykey Avni | - | 18 | 10.4 | 3.4 | 1.9 | 0.7 | 0.4 | 0.1 | 1.6 | 3.8 | 1.2 | 59 | 3.1 | 35.1 | 30.9 | 32.6 | 75.0 | 2.03 | 43.3 | 41.2 |
| Deja Hamilton | - | 18 | 24.1 | 3.1 | 2.4 | 2.3 | 1.0 | 0.1 | 2.7 | 4.3 | 1.9 | -8 | -0.4 | -2.3 | 24.4 | 23.9 | 70.0 | 0.21 | 34.0 | 31.4 |
| Sarah Davis | - | 7 | 8.7 | 2.6 | 1.4 | 0.9 | 0.1 | 0.0 | 0.3 | 2.7 | 2.0 | -4 | -0.8 | -5.0 | 36.8 | 27.3 | 50.0 | -0.01 | 45.3 | 44.7 |
| Brooklyn Calder | - | 18 | 13.3 | 1.9 | 2.3 | 1.4 | 0.8 | 0.3 | 1.2 | 1.8 | 3.8 | 40 | 2.1 | 22.0 | 34.4 | 0.0 | 61.9 | -0.2 | 42.4 | 34.4 |
| Maria Tomova | - | 9 | 10.6 | 1.6 | 1.8 | 1.1 | 0.7 | 0.0 | 0.8 | 1.7 | 2.7 | 64 | 7.1 | 46.4 | 40.0 | 0.0 | 100.0 | 1.98 | 44.1 | 40.0 |
| Alani Akana | - | 5 | 4.0 | 0.4 | 1.0 | 0.0 | 0.2 | 0.0 | 0.8 | 1.8 | -1.0 | -2 | -0.5 | -137.1 | 11.1 | 0.0 | 0 | -0.03 | 11.1 | 11.1 |
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