Norwich
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 → | 892 (#415) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 911 (#455) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 982 (#508) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -15.4 (#325) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -12.2 (#519) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.494 (#455) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.594 (#324) | NetEff +2.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.057 (#591) | AdjNet -24.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.050 (#593) | AdjNet -24.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.196 (#589) | AdjO 55.0 | AdjD 70.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.414 (#521) | AdjO 60.6 | AdjD 64.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.290 (#537) | 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 → | 0.313 (#524) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 942 (#384) | RD 102 | GP 20 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | vs | VTSU Castleton | W | 65 - 48 |
| 2025-11-11 | vs | Gordon | W | 94 - 63 |
| 2025-11-14 | @ | Plymouth St. | L | 69 - 78 |
| 2025-11-18 | @ | Middlebury | L | 36 - 80 |
| 2025-11-22 | vs | VTSU-Johnson | W | 71 - 56 |
| 2025-11-25 | @ | Utica | L | 67 - 75 |
| 2025-12-10 | @ | Nichols | L | 53 - 63 |
| 2025-12-20 | @ | Mt. St. Joseph | L | 44 - 63 |
| 2026-01-14 | vs | Dean | W | 82 - 55 |
| 2026-01-17 | vs | St. Joseph's (ME) | W | 70 - 63 |
| 2026-01-20 | @ | Rivier | W | 73 - 60 |
| 2026-01-24 | @ | Albertus Magnus | L | 65 - 69 |
| 2026-01-28 | vs | Lasell | W | 68 - 55 |
| 2026-01-31 | @ | Regis (MA) | L | 77 - 82 |
| 2026-02-03 | vs | Colby-Sawyer | W | 66 - 50 |
| 2026-02-07 | @ | Mitchell | W | 70 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Maggi Ellsworth | - | 16 | 27.4 | 13.4 | 6.7 | 2.6 | 2.2 | 0.1 | 2.6 | 11.1 | 11.2 | 51 | 2.5 | 10.0 | 47.8 | 41.8 | 72.4 | 1.04 | 56.1 | 54.2 |
| Cassidy Kittredge | - | 16 | 31.0 | 12.0 | 6.2 | 2.5 | 1.1 | 0.7 | 1.8 | 11.4 | 9.4 | 111 | 5.5 | 21.7 | 45.1 | 26.1 | 84.2 | 4.4 | 50.4 | 48.4 |
| Gracie Laster | - | 15 | 19.8 | 11.0 | 2.7 | 1.7 | 1.2 | 0.1 | 2.8 | 10.2 | 3.7 | 28 | 1.6 | 10.0 | 43.1 | 26.2 | 84.6 | -0.49 | 50.2 | 46.7 |
| Kiley O'Brien | - | 16 | 19.1 | 8.7 | 3.8 | 0.9 | 0.6 | 0.6 | 1.4 | 8.9 | 4.3 | -2 | -0.1 | -0.6 | 43.7 | 30.8 | 73.3 | -0.26 | 46.8 | 45.1 |
| Jade Garceau | - | 16 | 22.5 | 6.1 | 4.6 | 0.8 | 0.9 | 0.5 | 1.1 | 6.7 | 5.1 | 92 | 4.6 | 26.7 | 37.4 | 7.1 | 58.6 | 2.78 | 40.9 | 37.9 |
| Jessie Zimmerman | - | 16 | 18.9 | 3.9 | 3.9 | 1.4 | 0.8 | 0.2 | 2.1 | 3.2 | 5.0 | 20 | 1.0 | 6.7 | 42.3 | 30.8 | 88.2 | 0.94 | 53.0 | 46.2 |
| Lily Briggs | - | 16 | 23.3 | 3.4 | 4.4 | 3.2 | 1.8 | 0.2 | 3.6 | 4.2 | 5.3 | 37 | 1.9 | 9.7 | 26.5 | 27.9 | 42.9 | 0.85 | 36.4 | 35.3 |
| Siobhan O'Donnell | - | 9 | 18.9 | 3.4 | 3.0 | 0.8 | 1.2 | 0.0 | 2.0 | 5.9 | 0.6 | 5 | 0.4 | 3.7 | 24.5 | 18.2 | 50.0 | 0.07 | 28.8 | 28.3 |
| Mallorie Chalmers | - | 14 | 15.1 | 3.4 | 1.5 | 1.1 | 0.4 | 0.0 | 1.6 | 2.8 | 1.9 | 46 | 2.6 | 19.5 | 41.0 | 30.0 | 60.0 | 1.85 | 49.2 | 44.9 |
| Mackenzie Griner | - | 10 | 8.5 | 2.9 | 2.1 | 0.8 | 0.1 | 0.1 | 0.8 | 2.1 | 3.1 | 48 | 4.8 | 56.1 | 57.1 | 33.3 | 100.0 | -1.84 | 63.7 | 59.5 |
| Eleonore Collins | - | 12 | 9.1 | 2.0 | 2.5 | 0.1 | 0.4 | 0.5 | 0.2 | 2.0 | 3.2 | -1 | -0.1 | -0.8 | 45.8 | 0 | 33.3 | -1.78 | 45.0 | 45.8 |
| Paige Dwinell | - | 6 | 3.4 | 1.3 | 1.0 | 0.3 | 0.5 | 0.0 | 0.5 | 1.0 | 1.7 | -19 | -2.7 | -85.7 | 66.7 | 0 | 0 | -2.17 | 66.7 | 66.7 |
| Karyna Morales | - | 4 | 3.7 | 1.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | -0.2 | 20 | 4.0 | 92.8 | 33.3 | 0.0 | 0 | -1.03 | 33.3 | 33.3 |
| Blythe McQuade | - | 3 | 6.2 | 0.7 | 0.7 | 0.7 | 0.0 | 0.0 | 0.7 | 2.3 | -1.0 | -8 | -2.0 | -142.2 | 14.3 | 0.0 | 0 | -0.84 | 14.3 | 14.3 |
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