🐻⬇️🏀

Bridgeport

Also known as: Bridgeport
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 → 916 (#438) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 928 (#388) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 931 (#581) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -10.5 (#307) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -9.0 (#501) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.139 (#513) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -3.2 More → 0.386 (#304) NetEff -3.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -25.9 More → 0.048 (#630) AdjNet -25.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -25.5 More → 0.047 (#630) AdjNet -25.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 49.5 | AdjD 63.5 More → 0.219 (#609) AdjO 49.5 | AdjD 63.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 50.0 | AdjD 56.0 More → 0.366 (#566) AdjO 50.0 | AdjD 56.0
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 → 0.278 (#541) 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 → 0.290 (#539) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 103 | GP 19 More → 883 (#385) RD 103 | GP 19

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 @ Roberts Wesleyan - Incomplete score
2025-11-22 vs Queens (NY) - Incomplete score
2025-11-25 vs Wilmington (DE) - Incomplete score
2025-11-30 @ Southern N.H. - Incomplete score
2025-12-03 vs Post - Incomplete score
2025-12-06 @ Jefferson - Incomplete score
2025-12-13 vs Georgian Court - Incomplete score
2025-12-16 @ Pace - Incomplete score
2025-12-20 @ Southern Conn. St. - Incomplete score
2026-01-03 vs Goldey-Beacom - Incomplete score
2026-01-10 @ Chestnut Hill - Incomplete score
2026-01-14 @ Dominican (NY) - Incomplete score
2026-01-17 vs Holy Family - Incomplete score
2026-01-20 vs Felician - Incomplete score
2026-01-24 @ Wilmington (DE) - Incomplete score
2026-01-28 @ Post - Incomplete score
2026-01-31 vs Jefferson - Incomplete score
2026-02-03 vs St. Thomas Aquinas - Incomplete score
2026-02-07 @ Georgian Court - 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%
Savannah Prescott - 18 34.7 10.7 6.1 3.2 2.3 0.3 3.2 11.8 7.7 18 0.9 4.6 29.2 23.7 57.9 1.36 38.0 32.5
Karolina Andersson - 8 29.7 9.5 7.4 2.2 0.8 0.2 1.9 10.0 8.2 -23 -2.9 -40.3 36.2 24.5 66.7 0.19 45.3 43.8
Zahkiyyah Frazier - 18 27.1 7.9 9.4 0.7 1.0 0.4 2.1 6.3 11.2 -21 -1.0 -6.7 56.6 0.0 37.5 -2.63 54.7 56.6
Jaelyn Choi - 15 22.6 7.1 1.9 2.3 1.1 0.1 1.8 7.6 3.1 42 2.6 20.9 34.2 25.8 63.2 0.69 43.7 41.7
Niyah Whitten - 18 31.5 6.6 3.6 1.1 0.4 0.2 1.7 7.8 2.3 11 0.5 3.0 27.0 27.8 69.0 0.07 38.4 34.8
Nicole Benini - 18 23.7 6.2 4.6 1.2 0.7 0.7 2.1 6.3 4.9 25 1.3 7.1 33.3 29.1 71.4 0.63 44.3 40.4
Isabella Edwards - 11 11.6 4.5 2.5 0.2 0.3 0.0 1.5 4.7 1.2 -14 -1.2 -9.2 38.5 50.0 40.0 -0.49 43.4 43.3
India Lee - 14 10.3 4.1 2.6 0.3 0.4 0.0 0.8 4.1 2.5 -3 -0.2 -1.6 35.1 46.2 73.3 -1.07 44.8 40.4
Laia Albas - 15 9.5 2.3 1.2 0.8 0.6 0.0 1.0 3.0 0.9 -60 -3.8 -47.0 26.7 20.7 57.1 -5.22 35.4 33.3
Alycia Secchiaroli - 17 11.5 2.1 2.8 0.2 0.5 0.5 1.0 2.8 2.2 -14 -0.8 -12.2 31.2 16.7 35.7 -0.2 33.2 32.3
Mireya Johnson - 16 12.1 1.9 1.8 0.6 0.5 0.0 1.4 3.1 0.3 -1 -0.1 -0.8 26.5 16.7 23.1 2.3 28.3 28.6
Merci Turner - 8 10.3 1.6 0.9 0.5 0.4 0.0 0.5 1.8 1.1 -20 -2.5 -41.0 28.6 33.3 50.0 -1.17 43.7 42.9
Adalise Caraballo - 4 5.7 0.8 0.8 0.0 0.0 0.0 0.2 1.5 -0.2 - - - 16.7 16.7 0.0 -3.47 21.8 25.0
Marcela Banuelos - 2 0.8 0.0 0.0 0.0 0.0 0.0 0.5 0.5 -1.0 - - - 0.0 0 0 - 0.0 0.0
Marta Cutazzo - 1 7.4 0.0 0.0 0.0 1.0 0.0 0.0 1.0 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