Southern N.H.
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 → | 1071 (#105) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1082 (#117) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 965 (#533) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.0 (#140) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -0.2 (#371) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.509 (#359) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.677 (#224) | NetEff +5.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.467 (#420) | AdjNet -1.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.479 (#420) | AdjNet -0.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.491 (#416) | AdjO 68.0 | AdjD 68.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.498 (#367) | AdjO 63.9 | AdjD 64.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.497 (#360) | 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 → | 0.495 (#356) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 987 (#263) | RD 144 | GP 6 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-21 | @ | Franklin Pierce | W | 70 - 57 |
| 2026-01-24 | vs | Pace | W | 65 - 60 |
| 2026-01-28 | vs | Assumption | W | 56 - 51 |
| 2026-01-31 | @ | American Int'l | L | 85 - 92 |
| 2026-02-04 | @ | Saint Michael's | L | 57 - 66 |
| 2026-02-07 | vs | Southern Conn. St. | L | 47 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Meghan Gordon | - | 6 | 31.4 | 15.8 | 8.2 | 1.5 | 1.2 | 1.2 | 2.2 | 12.0 | 13.7 | 44 | 2.0 | 10.1 | 54.2 | 40.0 | 92.9 | 1.83 | 60.8 | 56.9 |
| Ava Winterburn | - | 6 | 30.2 | 13.3 | 5.2 | 1.5 | 0.8 | 0.7 | 2.3 | 13.0 | 6.2 | 70 | 3.2 | 14.0 | 39.7 | 28.9 | 55.6 | 0.9 | 48.8 | 48.1 |
| Taylor Brennan | - | 6 | 30.8 | 7.2 | 3.5 | 4.7 | 0.0 | 0.2 | 2.7 | 6.7 | 6.2 | 99 | 4.7 | 22.5 | 37.5 | 30.0 | 83.3 | 2.05 | 47.5 | 41.2 |
| Sydnie DeVries | - | 6 | 25.8 | 6.8 | 4.3 | 2.2 | 1.0 | 0.5 | 2.3 | 4.5 | 8.0 | 37 | 1.7 | 8.3 | 63.0 | 0 | 70.0 | 0.1 | 65.3 | 63.0 |
| Samantha Pfeil | - | 6 | 25.9 | 6.5 | 3.0 | 1.5 | 0.7 | 0.5 | 1.8 | 6.2 | 4.2 | 74 | 3.4 | 15.3 | 43.2 | 7.7 | 75.0 | 0.45 | 48.1 | 44.6 |
| Madison Hughes | - | 6 | 16.4 | 5.0 | 3.7 | 1.2 | 0.0 | 0.2 | 0.8 | 4.8 | 4.3 | 43 | 2.0 | 25.5 | 37.9 | 22.2 | 66.7 | 0.34 | 45.5 | 41.4 |
| Kameron St. Pierre | - | 6 | 15.0 | 4.2 | 2.5 | 1.2 | 0.3 | 0.0 | 1.3 | 3.7 | 3.2 | - | - | - | 31.8 | 18.2 | 90.0 | - | 47.3 | 36.4 |
| Madelynn Deprey | - | 6 | 9.8 | 2.2 | 2.3 | 0.8 | 0.3 | 0.8 | 1.7 | 1.7 | 3.2 | 16 | 0.8 | 11.1 | 50.0 | 100.0 | 100.0 | 0.41 | 59.7 | 55.0 |
| Aniela Kwo | - | 3 | 3.0 | 2.0 | 1.0 | 0.0 | 0.3 | 0.0 | 0.3 | 2.0 | 1.0 | 43 | 2.7 | 304.4 | 33.3 | 0 | 66.7 | -1.16 | 41.0 | 33.3 |
| Izzy Terzioski | - | 5 | 15.7 | 1.6 | 2.4 | 0.8 | 0.4 | 0.2 | 1.4 | 2.6 | 1.4 | 17 | 0.9 | 17.7 | 23.1 | 16.7 | 50.0 | 2.87 | 28.8 | 26.9 |
| Logan Lomasney | - | 1 | 0.4 | 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