🐻⬇️🏀

Tufts

Also known as: Tufts
Program History

Model Outputs

2025-2026
Catalog

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 → 1089 (#137) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1153 (#100) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1054 (#171) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +9.2 (#114) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 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. NetEff +2.9 More → 0.590 (#328) NetEff +2.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.0 More → 0.927 (#191) AdjNet +22.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +21.8 More → 0.928 (#190) AdjNet +21.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.4 | AdjD 57.6 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. AdjO 64.6 | AdjD 58.8 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 101 | GP 22 More → 1105 (#152) RD 101 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 vs Marian (WI) - Incomplete score
2025-11-16 @ UChicago - Incomplete score
2025-11-18 @ Babson - Incomplete score
2025-11-21 @ Roger Williams - Incomplete score
2025-11-23 @ Scranton - Incomplete score
2025-11-25 @ Endicott - Incomplete score
2025-11-30 @ Rhode Island Col. - Incomplete score
2025-12-03 vs MIT - Incomplete score
2025-12-29 @ Calvin - Incomplete score
2025-12-30 vs Vassar - Incomplete score
2026-01-10 vs Colby - Incomplete score
2026-01-16 @ Williams - Incomplete score
2026-01-17 @ Middlebury - Incomplete score
2026-01-20 vs Smith - Incomplete score
2026-01-24 vs Connecticut Col. - Incomplete score
2026-01-30 @ Wesleyan (CT) - Incomplete score
2026-01-31 @ Trinity (CT) - Incomplete score
2026-02-06 vs Amherst - Incomplete score
2026-02-07 vs Hamilton - Incomplete score

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 3.34 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 2.99 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 -0.15 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 3.41 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 1.03 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 -1.54 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 -0.52 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 0.45 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 0.15 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 0.52 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