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Bridgewater St.

Also known as: Bridgewater St.
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 → 890 (#418) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 913 (#451) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1085 (#110) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -4.5 (#239) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +2.7 (#326) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.576 (#421) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +60.9 More → 1.000 (#52) NetEff +60.9
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -3.2 More → 0.384 (#388) NetEff -3.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +4.8 More → 0.636 (#329) AdjNet +4.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.5 More → 0.630 (#329) AdjNet +4.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.5 | AdjD 65.4 More → 0.548 (#333) AdjO 67.5 | AdjD 65.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.6 | AdjD 55.6 More → 0.656 (#172) AdjO 62.6 | AdjD 55.6
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 → 0.589 (#300) 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 → 0.620 (#280) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 21 More → 1059 (#245) RD 102 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Stonehill L 38 - 83
2025-11-12 vs UMass Dartmouth W 73 - 56
2025-11-19 vs Amherst L 47 - 74
2025-11-25 @ Rhode Island Col. L 53 - 78
2025-12-03 @ WPI L 53 - 73
2025-12-10 @ Brandeis L 46 - 61
2025-12-12 vs Eastern Conn. St. L 64 - 72
2025-12-28 @ Whittier L 70 - 72
2025-12-30 vs Redlands L 65 - 71
2026-01-10 vs Salem St. W 59 - 51
2026-01-14 @ Anna Maria W 76 - 44
2026-01-17 vs MCLA W 74 - 25
2026-01-21 vs Westfield St. W 73 - 66
2026-01-24 @ Framingham St. W 66 - 57
2026-01-28 vs Worcester St. W 83 - 49
2026-01-31 vs Fitchburg St. W 93 - 38
2026-02-04 @ Salem St. W 56 - 47
2026-02-07 vs Anna Maria W 65 - 46

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%
Emilie von der Linden - 14 27.8 11.9 8.9 0.9 0.3 2.4 1.6 8.0 14.6 32 2.1 18.9 61.6 33.3 69.2 2.02 64.3 62.1
Emilie von der Linde - 4 28.2 10.0 9.0 1.0 0.2 2.0 1.8 10.2 10.2 - - - 39.0 0 53.3 - 42.0 39.0
Haley Burchhardt - 18 25.4 9.0 4.4 1.9 1.4 0.1 3.6 8.0 5.2 -4 -0.2 -2.8 42.4 29.7 80.6 -1.02 50.7 46.2
Sophie Bradbury - 18 24.1 9.0 4.1 2.7 1.5 0.3 2.4 10.7 4.3 0 0.0 0.0 31.1 24.1 59.5 0.91 38.7 36.3
Bridgitt O'Sullivan-Van Etten - 14 20.4 7.8 3.7 1.0 1.1 0.1 1.4 6.4 6.0 22 1.4 12.3 53.9 57.1 64.3 2.32 57.3 56.2
Bridgitt O'Sullivan- - 4 19.2 7.8 4.0 1.0 0.2 0.0 1.5 6.5 5.0 - - - 50.0 66.7 75.0 - 55.8 53.8
Savannah Azoff - 18 15.4 5.4 2.6 1.1 1.6 0.0 1.5 6.7 2.4 66 4.1 69.0 28.9 26.6 83.3 0.93 38.4 36.0
Reese Bartlett - 18 25.9 5.3 3.7 2.4 1.2 0.3 1.8 5.5 5.6 54 3.9 33.5 31.3 29.4 78.3 0.79 43.5 38.9
Lexi Thompson - 3 17.5 4.7 2.0 1.3 1.3 0.0 3.0 7.0 -0.7 - - - 33.3 0 0.0 - 30.8 33.3
Chloe Azoff - 14 13.5 4.4 2.3 1.2 0.6 0.3 1.6 4.9 2.4 -18 -1.5 -38.2 30.9 32.5 85.7 -0.45 42.9 40.4
Caitlyn Clark - 5 6.8 3.6 3.6 0.2 0.4 0.0 0.2 3.2 4.4 -9 -1.3 -47.5 43.8 0 100.0 1.51 50.7 43.8
Shania Gardner - 14 8.3 3.1 1.3 0.9 0.7 0.0 1.2 2.6 2.1 -22 -2.4 -68.2 51.4 33.3 40.0 0.82 54.8 55.4
Mairead Gallagher - 17 18.3 2.8 2.7 2.7 1.2 0.1 2.4 3.0 4.1 -20 -1.2 -20.3 35.3 33.3 45.5 -0.23 38.7 36.3
Ashleigh Johnson - 17 10.0 2.6 0.6 1.1 0.6 0.0 1.1 1.9 1.9 -24 -1.6 -54.1 40.6 22.2 61.5 1.91 50.6 43.8
Emily Quinn - 15 12.0 2.6 1.0 1.1 0.6 0.0 1.8 2.7 0.8 13 0.9 21.4 35.0 40.0 70.0 2.85 43.9 40.0
Eva Boudreau - 10 4.7 2.2 1.1 0.2 0.4 0.1 0.3 2.1 1.6 -12 -1.5 -67.8 42.9 44.4 0 1.79 52.4 52.4
Karlie Cosme - 7 4.4 0.6 0.9 0.6 0.3 0.0 0.0 1.1 1.1 -15 -1.9 -77.4 25.0 0 0 1.97 25.0 25.0
Madison Lent - 1 0.0 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