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La Roche

Season: 2026 2025 2020 2019 2017 2016 2015 2014 2013
Also known as: La Roche
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1003 (#357) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +16.4 (#131) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.205 (#486) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -14.0 More → 0.166 (#541) AdjNet -14.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -13.7 More → 0.164 (#547) AdjNet -13.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.0 | AdjD 70.2 More → 0.321 (#531) AdjO 62.0 | AdjD 70.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.1 | AdjD 62.5 More → 0.624 (#143) AdjO 68.1 | AdjD 62.5
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 → 0.796 (#102) 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 → 0.763 (#127) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1076 (#173) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-18 vs West Chester W 83 - 50

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%
Ashleigh Connor - 1 24.6 18.0 12.0 4.0 2.0 0.0 2.0 12.0 22.0 - - - 50.0 0.0 85.7 - 59.7 50.0
Aryss Macktoon - 1 27.6 17.0 14.0 2.0 2.0 1.0 2.0 16.0 18.0 - - - 31.2 0 77.8 - 42.6 31.2
Kiara Williams - 1 17.5 16.0 4.0 2.0 0.0 0.0 3.0 9.0 10.0 121 5.3 24.0 66.7 0 80.0 3.3 71.4 66.7
Joan Quinn - 1 24.1 13.0 4.0 2.0 4.0 1.0 1.0 9.0 14.0 - - - 44.4 33.3 66.7 - 55.8 50.0
Ivona Miljanic - 1 25.3 4.0 3.0 0.0 1.0 0.0 1.0 3.0 4.0 - - - 33.3 0.0 100.0 - 51.5 33.3
Yar Manyiel - 1 14.7 4.0 3.0 2.0 1.0 0.0 1.0 3.0 6.0 - - - 33.3 0.0 100.0 - 51.5 33.3
Lauren Patnode - 1 15.2 4.0 2.0 2.0 2.0 1.0 1.0 6.0 4.0 - - - 33.3 0.0 0 - 33.3 33.3
Amiya Moses - 1 9.3 3.0 2.0 0.0 0.0 2.0 1.0 1.0 5.0 - - - 100.0 0 50.0 - 79.8 100.0
Ava Hoy - 1 7.4 2.0 1.0 0.0 1.0 1.0 0.0 3.0 2.0 -24 -1.2 -12.6 33.3 0.0 0 -2.13 33.3 33.3
Anna Przyszlak - 1 19.4 2.0 2.0 0.0 0.0 0.0 1.0 2.0 1.0 - - - 50.0 0 0 - 50.0 50.0
India Webb - 1 2.1 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0 0 - 0.0 0.0
Sania Jenkins - 1 10.7 0.0 1.0 1.0 1.0 0.0 2.0 4.0 -3.0 - - - 0.0 0.0 0 - 0.0 0.0
Charity Sawyer - 1 2.1 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 - - - 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