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WestConn

Also known as: WestConn
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 → 928 (#369) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 920 (#440) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 930 (#582) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -10.1 (#289) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -9.9 (#498) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.172 (#600) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.7 More → 0.325 (#409) NetEff -4.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -23.6 More → 0.061 (#583) AdjNet -23.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -23.9 More → 0.056 (#583) AdjNet -23.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 54.3 | AdjD 69.5 More → 0.200 (#582) AdjO 54.3 | AdjD 69.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 55.2 | AdjD 60.1 More → 0.392 (#544) AdjO 55.2 | AdjD 60.1
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 → 0.330 (#505) 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 → 0.336 (#507) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 21 More → 915 (#405) RD 98 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-10 vs John Jay W 62 - 52
2025-11-13 @ Nichols L 43 - 55
2025-11-15 @ UMSV W 50 - 37
2025-11-19 @ Wm. Paterson L 51 - 56
2025-11-22 vs Trinity (CT) L 40 - 57
2025-11-25 vs Saint Joseph (CT) W 70 - 44
2025-12-03 vs Eastern Conn. St. L 59 - 65
2025-12-13 vs Plymouth St. L 72 - 73
2025-12-28 vs Salisbury L 58 - 70
2025-12-30 vs Wilkes W 51 - 44
2026-01-10 @ UMass Dartmouth L 56 - 69
2026-01-14 vs Keene St. L 62 - 77
2026-01-17 vs VTSU Castleton W 59 - 51
2026-01-21 vs SUNY Cobleskill W 64 - 61
2026-01-24 vs Southern Me. L 54 - 82
2026-01-28 @ Eastern Conn. St. W 57 - 54
2026-01-31 @ Plymouth St. L 52 - 62
2026-02-04 vs UMass Boston L 58 - 66
2026-02-08 @ VTSU Castleton L 0 - 0

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%
Sara Macary - 18 33.6 13.2 7.6 1.8 1.3 0.4 3.1 11.2 10.1 3 0.2 1.1 46.5 33.3 87.3 -1.4 52.6 47.0
Leana Heitmann - 18 32.9 10.6 8.0 2.4 1.9 1.3 3.2 10.6 10.4 52 3.2 21.8 36.8 31.4 88.9 0.18 47.3 43.9
Fatmata Barrie - 18 19.6 7.0 6.7 0.4 0.8 0.1 2.2 5.3 7.5 -21 -1.2 -9.0 44.8 0 59.7 0.12 50.2 44.8
Malaysia Dingle - 18 30.6 5.6 1.5 2.4 1.2 0.1 2.4 5.8 2.6 5 0.3 2.0 30.8 38.9 79.3 -0.02 43.3 37.5
Deona Garcia - 15 13.9 4.9 0.9 0.6 0.8 0.1 1.2 6.7 -0.5 -1 -0.1 -1.0 28.0 18.8 81.8 1.66 35.3 32.5
Gianna Castellano - 17 16.0 3.8 1.3 1.1 0.6 0.0 1.8 4.1 1.0 15 0.9 15.7 36.2 16.7 80.0 0.56 43.0 38.4
Cameron Froehlich - 17 17.5 3.5 1.6 1.2 0.8 0.0 2.3 4.2 0.7 33 1.9 27.7 31.0 31.0 100.0 1.31 41.0 40.1
Julyssa Patterson - 17 8.0 2.7 2.2 0.1 0.0 0.1 1.2 3.0 0.9 10 0.6 11.8 33.3 0.0 50.0 1.96 37.4 33.3
Niyama Adadevoh - 18 10.1 2.6 2.4 0.8 0.6 0.6 1.8 2.7 2.4 -8 -0.4 -11.7 37.5 14.3 29.0 0.25 37.3 38.5
Francesca Foster - 16 12.1 2.2 2.3 1.0 0.9 0.2 1.7 3.4 1.6 -12 -0.8 -13.1 22.2 18.8 60.0 1.15 29.7 25.0
Finley Burke - 8 2.6 1.1 0.6 0.1 0.1 0.0 0.1 0.6 1.2 -15 -1.9 -182.7 80.0 0 16.7 -0.67 58.9 80.0
Elise Chanka - 16 11.6 1.0 1.7 0.2 0.8 0.4 1.2 1.1 1.7 19 1.2 36.4 33.3 0.0 30.8 1.3 33.7 33.3
Deborah Bueno - 11 4.3 0.8 0.5 0.3 0.2 0.0 0.4 0.7 0.6 1 0.1 3.9 37.5 0 75.0 0.65 46.1 37.5
Niya Taylor - 8 3.3 0.2 1.2 0.0 0.1 0.1 0.4 0.4 1.0 10 1.2 151.9 33.3 0 0 0.28 33.3 33.3

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