Endicott
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 → | 1019 (#197) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1048 (#247) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1037 (#228) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.5 (#222) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.5 (#392) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.805 (#303) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.651 (#302) | NetEff +4.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.730 (#303) | AdjNet +8.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.682 (#315) | AdjNet +6.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.587 (#311) | AdjO 65.6 | AdjD 61.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.567 (#273) | AdjO 62.0 | AdjD 59.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.553 (#337) | 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 → | 0.562 (#329) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1078 (#212) | RD 105 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | @ | Wheaton (MA) | W | 80 - 61 |
| 2025-11-10 | @ | Emerson | L | 71 - 78 |
| 2025-11-12 | @ | Springfield | L | 59 - 71 |
| 2025-11-14 | vs | Babson | W | 64 - 53 |
| 2025-11-19 | vs | Nichols | W | 65 - 59 |
| 2025-11-22 | @ | Bates | L | 44 - 56 |
| 2025-11-25 | vs | Tufts | W | 77 - 74 |
| 2025-12-01 | vs | MIT | L | 54 - 70 |
| 2025-12-03 | @ | St. Joseph's (ME) | L | 39 - 41 |
| 2025-12-13 | vs | Salem St. | W | 72 - 59 |
| 2026-01-10 | @ | Hartford | L | 63 - 69 |
| 2026-01-14 | @ | Gordon | W | 81 - 75 |
| 2026-01-17 | vs | Suffolk | W | 75 - 60 |
| 2026-01-20 | @ | Curry | W | 60 - 45 |
| 2026-01-28 | vs | Wentworth | W | 73 - 32 |
| 2026-01-31 | @ | Nichols | W | 61 - 40 |
| 2026-02-03 | @ | Roger Williams | W | 60 - 50 |
| 2026-02-07 | vs | JWU (Providence) | L | 59 - 69 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Emma Shinney | - | 18 | 35.4 | 14.6 | 7.5 | 5.4 | 2.4 | 0.2 | 3.1 | 12.8 | 14.4 | 106 | 5.3 | 19.4 | 44.8 | 28.2 | 50.5 | 2.16 | 48.7 | 47.2 |
| Aleah Bracey | - | 18 | 34.1 | 13.4 | 3.1 | 0.7 | 0.5 | 0.1 | 1.6 | 11.1 | 5.1 | 123 | 6.2 | 24.0 | 42.0 | 40.0 | 87.5 | 2.92 | 56.5 | 53.5 |
| Tenley Wallin | - | 18 | 32.1 | 8.9 | 4.1 | 1.7 | 0.6 | 0.2 | 2.2 | 10.1 | 3.3 | 85 | 4.2 | 20.3 | 36.3 | 23.9 | 59.1 | 1.03 | 42.0 | 40.7 |
| Tricia Wladkowski | - | 17 | 24.9 | 8.5 | 6.2 | 1.5 | 1.0 | 0.5 | 1.3 | 8.1 | 8.3 | 25 | 1.3 | 7.0 | 42.0 | 33.3 | 74.1 | 0.27 | 48.4 | 45.3 |
| Sofia Mazzotta | - | 13 | 29.8 | 7.8 | 4.9 | 1.5 | 1.7 | 0.8 | 2.1 | 7.9 | 6.7 | 41 | 2.7 | 11.4 | 32.0 | 20.9 | 70.3 | -0.47 | 42.3 | 36.4 |
| Sarah Shaw | - | 2 | 17.4 | 7.0 | 4.0 | 0.0 | 0.0 | 0.5 | 0.0 | 5.0 | 6.5 | 1 | 0.5 | 0.9 | 60.0 | 0.0 | 100.0 | 0.01 | 64.3 | 60.0 |
| Mia McGarrity | - | 18 | 14.3 | 4.7 | 2.9 | 1.1 | 0.4 | 0.3 | 0.9 | 3.1 | 5.3 | 37 | 1.9 | 23.4 | 62.5 | 0 | 73.7 | 0.87 | 65.3 | 62.5 |
| Mia Gentile | - | 3 | 10.1 | 4.7 | 1.0 | 0.3 | 1.0 | 0.0 | 0.7 | 3.7 | 2.7 | -14 | -3.5 | -28.8 | 45.5 | 37.5 | 50.0 | -0.61 | 58.9 | 59.1 |
| Alyssa Garabedian | - | 13 | 29.6 | 4.6 | 4.7 | 1.5 | 1.1 | 0.3 | 1.7 | 5.5 | 5.0 | 75 | 5.0 | 15.6 | 34.7 | 9.1 | 50.0 | 0.82 | 37.5 | 35.4 |
| Ceilagh Harrington | - | 4 | 7.5 | 4.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.8 | 2.8 | 20 | 2.9 | 158.9 | 72.7 | 0.0 | 100.0 | 0.04 | 75.8 | 72.7 |
| Avery Brown | - | 8 | 8.6 | 2.6 | 0.5 | 0.1 | 0.0 | 0.1 | 0.6 | 3.9 | -1.1 | 14 | 1.4 | 37.3 | 29.0 | 15.8 | 0 | -0.51 | 33.9 | 33.9 |
| Lily Cooper | - | 14 | 12.5 | 2.4 | 1.7 | 1.2 | 0.2 | 0.1 | 0.9 | 1.9 | 2.8 | 55 | 3.7 | 42.1 | 46.2 | 47.1 | 50.0 | -0.2 | 61.4 | 61.5 |
| Caroline Waisnor | - | 2 | 9.7 | 0.5 | 3.5 | 1.5 | 0.5 | 0.0 | 1.0 | 2.0 | 3.0 | -1 | -0.3 | -3.0 | 0.0 | 0.0 | 50.0 | -0.45 | 10.2 | 0.0 |
| Kyra Rice | - | 1 | 5.3 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | -3.0 | 6 | 3.0 | 45.0 | 0.0 | 0.0 | 0 | -0.27 | 0.0 | 0.0 |
| Skylar Barton | - | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 2.0 | - | - | - | 0.0 | 0 | 0 | -0.19 | 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