Salem St.
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 → | 928 (#368) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 953 (#392) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 900 (#610) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -12.3 (#307) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -15.0 (#556) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.497 (#452) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.440 (#374) | NetEff -1.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.177 (#500) | AdjNet -13.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.159 (#504) | AdjNet -14.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.299 (#505) | AdjO 62.1 | AdjD 71.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.361 (#574) | AdjO 58.9 | AdjD 65.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.217 (#582) | 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 → | 0.236 (#581) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 804 (#484) | RD 145 | GP 6 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-21 | vs | Worcester St. | W | 60 - 59 |
| 2026-01-24 | vs | Westfield St. | L | 75 - 80 |
| 2026-01-28 | vs | MCLA | W | 94 - 43 |
| 2026-01-31 | @ | Anna Maria | L | 59 - 71 |
| 2026-02-04 | vs | Bridgewater St. | L | 47 - 56 |
| 2026-02-07 | @ | Framingham St. | L | 57 - 77 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ernidia Goncalves | - | 6 | 33.6 | 18.0 | 12.2 | 2.3 | 3.8 | 0.3 | 4.7 | 15.3 | 16.7 | 84 | 5.6 | 22.6 | 45.7 | 100.0 | 53.5 | 2.27 | 48.7 | 46.2 |
| Kylie Schrock | - | 6 | 27.2 | 12.5 | 4.5 | 0.3 | 2.2 | 0.0 | 1.2 | 11.7 | 6.7 | 37 | 2.5 | 11.3 | 34.3 | 20.0 | 78.1 | 0.79 | 44.6 | 35.7 |
| Keisha Perez-Vazquez | - | 1 | 20.3 | 12.0 | 3.0 | 0.0 | 4.0 | 0.0 | 3.0 | 6.0 | 10.0 | 26 | 13.0 | 62.5 | 66.7 | 0.0 | 80.0 | 1.22 | 73.2 | 66.7 |
| Maria Orfanos | - | 6 | 34.4 | 9.7 | 3.3 | 2.5 | 2.3 | 0.2 | 3.2 | 11.2 | 3.7 | 45 | 3.0 | 12.0 | 32.8 | 20.0 | 69.2 | 1.24 | 39.9 | 36.6 |
| Shakera Fullenwilder | - | 6 | 19.5 | 7.8 | 1.8 | 1.3 | 0.7 | 0.0 | 2.3 | 6.8 | 2.5 | 48 | 3.2 | 20.8 | 48.8 | 0.0 | 63.6 | 0.75 | 51.3 | 48.8 |
| Sunali Carter | - | 5 | 17.2 | 4.2 | 3.6 | 0.8 | 0.4 | 0.0 | 1.4 | 4.6 | 3.0 | -38 | -2.7 | -19.6 | 26.1 | 40.0 | 77.8 | -2.96 | 38.9 | 30.4 |
| Destiny Alce | - | 4 | 14.4 | 4.0 | 1.5 | 0.2 | 1.0 | 0.0 | 2.8 | 4.2 | -0.2 | 46 | 3.8 | 50.3 | 35.3 | 33.3 | 100.0 | -0.52 | 43.7 | 38.2 |
| Lamia Ashley | - | 6 | 8.5 | 3.0 | 1.8 | 0.0 | 0.5 | 0.0 | 1.0 | 2.7 | 1.7 | 1 | 0.1 | 1.0 | 50.0 | 0 | 33.3 | -2.78 | 48.3 | 50.0 |
| Lauren Wilson | - | 5 | 10.2 | 3.0 | 1.8 | 0.2 | 0.2 | 0.0 | 0.4 | 2.2 | 2.6 | 26 | 2.4 | 30.2 | 54.5 | 33.3 | 50.0 | 2.79 | 58.8 | 59.1 |
| Yamilette Guerrero | - | 5 | 26.5 | 2.6 | 5.8 | 3.4 | 3.4 | 0.4 | 4.2 | 5.4 | 6.0 | 16 | 1.1 | 6.5 | 14.8 | 0.0 | 50.0 | -2.03 | 20.7 | 14.8 |
| Amayah McConney | - | 4 | 23.6 | 1.8 | 3.8 | 0.5 | 0.5 | 0.0 | 1.2 | 3.5 | 1.8 | 9 | 0.7 | 4.7 | 21.4 | 0.0 | 50.0 | -0.68 | 23.5 | 21.4 |
| Morgan Reynolds | - | 3 | 4.5 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.3 | -0.7 | 17 | 4.2 | 76.0 | 25.0 | 0 | 0 | -0.07 | 25.0 | 25.0 |
| Maggy Sarnacki | - | 1 | 6.1 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 2 | 0.7 | 13.2 | 0.0 | 0.0 | 0 | -0.36 | 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