Springfield
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 → | 1070 (#106) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1120 (#113) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1100 (#95) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.3 (#125) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.7 (#234) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.814 (#298) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.744 (#257) | NetEff +8.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.906 (#207) | AdjNet +19.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.905 (#210) | AdjNet +19.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.734 (#215) | AdjO 66.4 | AdjD 55.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.696 (#128) | AdjO 62.1 | AdjD 53.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.716 (#202) | 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 → | 0.724 (#189) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1163 (#99) | RD 103 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | @ | Western New Eng. | L | 55 - 67 |
| 2025-11-12 | vs | Endicott | W | 71 - 59 |
| 2025-11-14 | vs | Middlebury | W | 58 - 56 |
| 2025-11-15 | @ | SUNY Geneseo | W | 58 - 53 |
| 2025-11-19 | @ | Albertus Magnus | W | 71 - 48 |
| 2025-11-22 | vs | Hartford | L | 57 - 63 |
| 2025-11-25 | @ | Williams | L | 57 - 64 |
| 2025-12-03 | vs | Worcester St. | W | 75 - 50 |
| 2026-01-10 | vs | Smith | L | 54 - 62 |
| 2026-01-17 | @ | Babson | L | 63 - 64 |
| 2026-01-21 | @ | Salve Regina | W | 58 - 55 |
| 2026-01-24 | vs | WPI | W | 70 - 55 |
| 2026-01-28 | vs | Clark (MA) | L | 56 - 60 |
| 2026-01-31 | @ | Smith | L | 47 - 66 |
| 2026-02-04 | vs | Coast Guard | W | 62 - 47 |
| 2026-02-07 | vs | Wheaton (MA) | W | 69 - 40 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Natalie Lucas | - | 16 | 32.2 | 13.4 | 5.9 | 1.8 | 1.1 | 0.3 | 1.8 | 11.8 | 8.8 | 138 | 7.3 | 32.2 | 43.6 | 34.1 | 78.3 | 3.84 | 51.4 | 47.3 |
| Amanda Leary | - | 16 | 31.1 | 11.7 | 6.8 | 2.3 | 2.1 | 0.3 | 1.5 | 11.4 | 10.2 | 110 | 5.8 | 27.8 | 39.3 | 23.4 | 65.1 | 0.37 | 46.3 | 43.4 |
| Carrie Hess | - | 16 | 30.4 | 11.6 | 4.3 | 1.9 | 0.8 | 0.6 | 1.8 | 11.4 | 6.0 | 96 | 5.1 | 23.5 | 45.1 | 41.2 | 78.9 | 1.04 | 48.9 | 47.0 |
| Claire Finney | - | 16 | 27.8 | 9.2 | 2.9 | 2.4 | 1.3 | 0.3 | 1.7 | 9.2 | 5.4 | 124 | 6.5 | 31.4 | 37.4 | 23.5 | 78.8 | 4.02 | 45.8 | 41.5 |
| Madison Lopez | - | 16 | 28.5 | 6.8 | 3.0 | 2.2 | 0.8 | 0.1 | 1.5 | 5.0 | 6.5 | 83 | 4.4 | 20.5 | 48.8 | 46.5 | 64.7 | 1.52 | 62.3 | 61.3 |
| Stefany Padula | - | 16 | 15.5 | 3.2 | 2.4 | 0.7 | 0.4 | 0.1 | 0.6 | 3.3 | 2.9 | 24 | 1.4 | 11.2 | 34.0 | 35.5 | 66.7 | -0.3 | 45.8 | 44.3 |
| Ruth Boles | - | 16 | 12.1 | 2.6 | 1.9 | 0.3 | 0.3 | 0.1 | 1.1 | 2.8 | 1.3 | 4 | 0.2 | 2.2 | 40.0 | 0 | 83.3 | -3.26 | 43.0 | 40.0 |
| Ava Mamone | - | 12 | 6.3 | 1.4 | 1.5 | 0.4 | 0.1 | 0.0 | 0.8 | 2.1 | 0.6 | 27 | 2.2 | 29.2 | 32.0 | 0 | 100.0 | 0.79 | 33.4 | 32.0 |
| Izzy Pazzaglia | - | 14 | 7.1 | 1.2 | 1.0 | 0.5 | 0.1 | 0.0 | 0.3 | 1.4 | 1.1 | 17 | 1.1 | 17.6 | 35.0 | 25.0 | 0 | -1.5 | 42.5 | 42.5 |
| Adriana Hernández Feliciano | - | 3 | 4.8 | 1.0 | 0.0 | 0.3 | 0.3 | 0.0 | 0.3 | 0.7 | 0.7 | -10 | -3.3 | -83.3 | 50.0 | 100.0 | 0 | -0.71 | 75.0 | 75.0 |
| Ella Stair | - | 16 | 10.2 | 0.5 | 1.3 | 0.5 | 0.2 | 0.1 | 0.8 | 0.8 | 1.1 | 32 | 1.7 | 19.8 | 16.7 | 28.6 | 100.0 | 0.27 | 31.1 | 25.0 |
| Maeve Dolan | - | 2 | 3.7 | 0.0 | 1.0 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 1.0 | -5 | -5.0 | -41.7 | 0 | 0 | 0 | -0.71 | 0 | 0 |
| Bailee Lange | - | 2 | 4.7 | 0.0 | 1.5 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.5 | 17 | 5.7 | 130.8 | 0 | 0 | 0 | -0.27 | 0 | 0 |
| Brooke Stringer | - | 2 | 3.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -7 | -3.5 | -106.3 | 0 | 0 | 0 | -0.94 | 0 | 0 |
| Chloe Derby | - | 2 | 2.6 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | -0.5 | -11 | -5.5 | -167.1 | 0.0 | 0.0 | 0 | -0.94 | 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