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Holy Cross (IN)

Season: 2026 2025 2024 2023 2022 2021 2016
Also known as: Holy Cross (IN)
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 +62 elo More → 1009 (#373) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +22.5 (#106) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.846 (#271) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.5 More → 0.542 (#368) AdjNet +1.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.1 More → 0.534 (#368) AdjNet +1.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.9 | AdjD 67.7 More → 0.526 (#356) AdjO 68.9 | AdjD 67.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.2 | AdjD 58.7 More → 0.757 (#85) AdjO 71.2 | AdjD 58.7
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 → 0.863 (#93) 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 → 0.839 (#108) 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 → 1048 (#256) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-18 vs LeTourneau W 100 - 37
2025-11-24 vs Concordia (TX) W 77 - 57

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%
Kamryn McLaurin - 2 23.7 16.5 2.5 1.0 3.0 0.5 0.5 10.5 12.5 - - - 52.4 11.1 90.9 - 63.9 54.8
Grace Booth - 2 25.7 16.0 12.5 3.0 2.5 0.0 1.0 10.5 22.5 - - - 61.9 50.0 75.0 - 70.3 69.0
Dasia Hyams - 1 22.7 13.0 2.0 1.0 6.0 0.0 1.0 8.0 13.0 - - - 50.0 50.0 100.0 - 66.6 56.2
Veronika Korchagina - 1 18.3 12.0 10.0 0.0 2.0 0.0 0.0 7.0 17.0 - - - 85.7 0 0.0 - 76.1 85.7
Jordan Jackson - 2 22.1 9.0 5.0 2.5 1.5 0.0 1.5 8.5 8.0 -100 -5.6 -70.9 47.1 40.0 0.0 -2.12 50.3 52.9
Remi Langmaid - 1 15.0 9.0 2.0 0.0 1.0 0.0 1.0 5.0 6.0 - - - 60.0 33.3 100.0 - 76.5 70.0
Jo Oly - 1 15.9 9.0 1.0 1.0 0.0 1.0 0.0 6.0 6.0 - - - 50.0 33.3 100.0 - 65.4 58.3
Tove Caesar - 2 21.2 8.5 2.0 3.5 1.5 0.0 1.5 9.0 5.0 - - - 38.9 14.3 100.0 - 45.0 41.7
Hannah Fields - 2 18.8 6.0 6.5 1.5 0.5 0.5 0.0 7.5 7.5 - - - 33.3 0.0 50.0 - 35.8 33.3
Madison Hurta - 2 22.1 5.5 3.5 2.0 2.0 0.0 1.0 8.0 4.0 - - - 25.0 25.0 0 - 34.4 34.4
Sidney Carr - 2 21.5 4.0 2.0 2.5 2.0 0.0 0.5 5.0 5.0 - - - 40.0 0.0 0.0 - 38.3 40.0
Madelyne Davis - 1 17.9 3.0 4.0 1.0 1.0 0.0 2.0 5.0 2.0 64 2.9 12.8 20.0 25.0 0 -0.13 30.0 30.0

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