🐻⬇️🏀

Babson

Also known as: Babson
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 → 1186 (#60) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1156 (#98) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1135 (#68) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +5.5 (#152) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +6.6 (#255) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.747 (#331) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +6.3 More → 0.702 (#278) NetEff +6.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.8 More → 0.860 (#234) AdjNet +15.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +15.7 More → 0.865 (#234) AdjNet +15.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.6 | AdjD 58.6 More → 0.695 (#243) AdjO 67.6 | AdjD 58.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.2 | AdjD 56.6 More → 0.686 (#137) AdjO 65.2 | AdjD 56.6
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 → 0.717 (#200) 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 → 0.725 (#186) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 21 More → 1163 (#98) RD 99 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Roger Williams - Incomplete score
2025-11-10 @ Curry - Incomplete score
2025-11-14 @ Endicott - Incomplete score
2025-11-18 vs Tufts - Incomplete score
2025-11-22 vs Albertus Magnus - Incomplete score
2025-11-24 vs Brandeis - Incomplete score
2025-11-28 @ Pomona-Pitzer - Incomplete score
2025-11-29 @ Claremont-M-S - Incomplete score
2025-12-29 vs Hartford - Incomplete score
2025-12-30 vs UC Santa Cruz - Incomplete score
2026-01-13 vs Trinity (CT) - Incomplete score
2026-01-17 vs Springfield - Incomplete score
2026-01-21 @ Coast Guard - Incomplete score
2026-01-24 @ MIT - Incomplete score
2026-01-28 vs WPI - Incomplete score
2026-01-31 vs Mount Holyoke - Incomplete score
2026-02-04 @ Emerson - Incomplete score
2026-02-07 vs Wellesley - 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%
Emily Flynn - 16 26.0 13.6 8.2 3.4 0.5 0.7 3.6 12.5 10.3 61 4.4 19.9 41.0 29.7 70.6 0.59 50.7 48.5
Samantha Reale - 7 27.2 10.7 8.3 1.7 2.1 0.4 1.9 9.1 12.3 20 5.0 9.8 42.2 25.0 79.2 1.64 50.3 43.8
Rylie Rosenberg - 17 25.1 9.5 2.8 2.0 1.5 0.0 1.8 9.1 4.9 85 5.7 22.7 34.2 29.5 85.2 3.64 48.5 44.8
Chloe Perreault - 17 25.3 7.9 6.4 1.3 0.6 0.1 1.1 8.2 7.1 45 3.0 16.1 37.4 31.0 57.1 1.27 47.2 46.8
Julia St. Laurent - 17 23.0 7.5 3.7 1.3 1.0 0.4 2.0 6.5 5.4 55 5.0 43.7 45.9 0.0 61.9 1.09 49.4 45.9
Alessa Mendoza - 17 15.1 5.6 1.9 1.5 0.8 0.0 1.1 5.2 3.5 45 3.0 20.4 50.0 0.0 61.5 0.29 51.2 50.0
Allessia Carlo - 17 29.1 5.0 1.6 2.3 1.3 0.1 1.8 6.3 2.2 78 5.2 25.5 27.1 24.6 86.7 0.47 37.4 33.6
Alyssa Hopps - 15 13.7 4.5 4.4 0.5 0.4 0.6 2.1 4.1 4.3 61 5.1 26.3 47.5 0.0 52.6 2.46 49.0 47.5
Molly Donovan - 17 12.7 3.6 2.2 0.6 0.6 0.2 0.8 4.0 2.4 12 0.8 6.7 29.4 27.1 66.7 -0.99 41.6 39.0
Mary Kate Flynn - 16 11.8 2.8 4.1 0.7 0.7 0.2 1.2 2.8 4.5 38 2.5 33.4 48.9 0 0.0 1.49 48.0 48.9
St. Laurent,Julia - 1 17.0 2.0 3.0 1.0 1.0 0.0 3.0 4.0 0.0 - - - 25.0 0 0 - 25.0 25.0
Brooke Canty - 14 9.5 1.6 0.9 0.4 0.1 0.1 0.7 1.5 0.9 12 0.9 14.5 38.1 0.0 77.8 -2.29 46.1 38.1
Devon Burke - 4 7.0 1.0 0.8 0.5 0.5 0.0 0.2 1.0 1.5 - - - 50.0 0 0 3.23 50.0 50.0
Gianna Langone - 3 3.1 0.7 0.7 0.3 0.0 0.0 0.7 0.3 0.7 0 0.0 0.0 100.0 0 0 - 100.0 100.0
Sophie Mahar - 2 3.5 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.5 - - - 0 0 0 - 0 0
Flynn,Mary Kate - 1 16.0 0.0 6.0 3.0 0.0 0.0 2.0 2.0 5.0 - - - 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