Tufts
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 → | 967 (#308) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1138 (#96) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1054 (#171) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.6 (#89) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.3 (#272) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.583 (#418) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.590 (#328) | NetEff +2.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.927 (#191) | AdjNet +22.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.928 (#190) | AdjNet +21.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.762 (#196) | AdjO 70.4 | AdjD 57.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.629 (#197) | AdjO 64.6 | AdjD 58.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.701 (#216) | 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 → | 0.691 (#225) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1102 (#154) | RD 101 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-15 | vs | Marian (WI) | W | 84 - 51 |
| 2025-11-16 | @ | UChicago | L | 57 - 66 |
| 2025-11-18 | @ | Babson | W | 67 - 63 |
| 2025-11-21 | @ | Roger Williams | W | 68 - 57 |
| 2025-11-23 | @ | Scranton | L | 42 - 73 |
| 2025-11-25 | @ | Endicott | L | 74 - 77 |
| 2025-11-30 | @ | Rhode Island Col. | W | 62 - 50 |
| 2025-12-03 | vs | MIT | W | 79 - 63 |
| 2025-12-29 | @ | Calvin | L | 62 - 71 |
| 2025-12-30 | vs | Vassar | W | 84 - 68 |
| 2026-01-10 | vs | Colby | L | 64 - 67 |
| 2026-01-16 | @ | Williams | L | 63 - 67 |
| 2026-01-17 | @ | Middlebury | W | 67 - 53 |
| 2026-01-20 | vs | Smith | W | 60 - 57 |
| 2026-01-24 | vs | Connecticut Col. | L | 38 - 55 |
| 2026-01-30 | @ | Wesleyan (CT) | W | 74 - 57 |
| 2026-01-31 | @ | Trinity (CT) | W | 59 - 55 |
| 2026-02-06 | vs | Amherst | W | 49 - 44 |
| 2026-02-07 | vs | Hamilton | L | 64 - 81 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tessa Lozner | - | 19 | 32.0 | 13.2 | 4.1 | 2.4 | 1.1 | 0.2 | 2.6 | 10.9 | 7.3 | 36 | 1.9 | 16.4 | 47.8 | 23.4 | 67.7 | -1.38 | 53.6 | 50.5 |
| Abby Congdon | - | 19 | 34.0 | 10.3 | 4.3 | 2.1 | 2.1 | 0.3 | 2.1 | 10.1 | 6.9 | 14 | 0.8 | 6.2 | 37.7 | 29.6 | 71.4 | 1.73 | 46.5 | 43.2 |
| Claire Kolkhorst | - | 19 | 28.1 | 8.9 | 4.0 | 0.8 | 1.8 | 0.1 | 1.6 | 7.7 | 6.3 | 2 | 0.1 | 0.9 | 43.2 | 40.4 | 55.6 | 0.95 | 56.3 | 56.2 |
| Annie Aspesi | - | 19 | 30.0 | 8.9 | 5.1 | 1.6 | 0.9 | 0.2 | 1.7 | 8.0 | 7.1 | 37 | 1.9 | 25.6 | 39.5 | 43.4 | 70.0 | -2.16 | 52.9 | 51.3 |
| Stella Galanes | - | 19 | 19.4 | 7.9 | 1.8 | 0.4 | 0.6 | 0.2 | 1.3 | 6.1 | 3.5 | 50 | 2.8 | 38.6 | 38.8 | 34.0 | 78.6 | -0.83 | 53.7 | 46.1 |
| Abi Stone | - | 15 | 11.7 | 6.2 | 2.5 | 0.5 | 0.3 | 0.0 | 1.7 | 4.7 | 3.2 | 0 | 0.0 | 0.0 | 54.3 | 0.0 | 58.6 | 0.19 | 56.2 | 54.3 |
| Sarah Crossett | - | 18 | 16.8 | 5.4 | 3.5 | 1.4 | 0.7 | 0.1 | 1.1 | 5.5 | 4.5 | 9 | 0.5 | 9.7 | 37.4 | 0.0 | 79.3 | -1.21 | 43.4 | 37.4 |
| Maddy Steel | - | 6 | 6.8 | 2.7 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 2.2 | 0.5 | 8 | 1.3 | 35.8 | 46.2 | 30.0 | 50.0 | 0.36 | 57.6 | 57.7 |
| Annie Ryan | - | 19 | 13.4 | 2.4 | 1.4 | 0.6 | 0.7 | 0.3 | 0.5 | 2.9 | 1.9 | 17 | 1.0 | 18.8 | 28.6 | 21.4 | 88.9 | -1.3 | 38.4 | 33.9 |
| Siobhan Stapleton | - | 19 | 17.2 | 1.4 | 3.0 | 1.8 | 0.5 | 0.2 | 1.0 | 1.7 | 4.2 | 27 | 1.5 | 23.0 | 34.4 | 20.0 | 33.3 | -0.01 | 37.5 | 37.5 |
| Hope Nardone | - | 4 | 5.2 | 0.8 | 0.2 | 0.2 | 0.0 | 0.0 | 0.2 | 0.5 | 0.5 | - | - | - | 50.0 | 0.0 | 50.0 | - | 52.1 | 50.0 |
| Hazel Nelson | - | 2 | 1.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Emma Heckman | - | 1 | 1.0 | 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