🐻⬇️🏀

Le Moyne

Season: 2026
Also known as: Le Moyne
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 Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1098 (#151) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1026 (#264) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +10.3 (#210) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.906 (#241) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +18.6 More → 0.906 (#152) NetEff +18.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +23.0 More → 0.934 (#182) AdjNet +23.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.9 More → 0.937 (#181) AdjNet +22.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.5 | AdjD 56.4 More → 0.766 (#193) AdjO 69.5 | AdjD 56.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.2 | AdjD 59.4 More → 0.608 (#223) AdjO 64.2 | AdjD 59.4
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 → 0.721 (#191) 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 → 0.708 (#202) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-30 vs SUNY Geneseo W 67 - 55

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%
Ashley Buragas - 1 24.6 16.0 7.0 4.0 1.0 0.0 1.0 8.0 19.0 - - - 62.5 0 85.7 - 72.2 62.5
Eli Clark - 1 26.1 15.0 2.0 0.0 1.0 0.0 0.0 10.0 8.0 - - - 60.0 60.0 0 - 75.0 75.0
Sierra Linnin - 1 25.1 7.0 4.0 0.0 2.0 0.0 1.0 6.0 6.0 - - - 33.3 25.0 100.0 - 50.9 41.7
Praise Matthews - 1 15.4 6.0 4.0 0.0 2.0 0.0 0.0 2.0 10.0 - - - 50.0 0 66.7 - 64.7 50.0
Kayden Clark - 1 21.6 5.0 3.0 1.0 1.0 1.0 0.0 6.0 5.0 -119 -5.4 -39.1 16.7 20.0 100.0 -1.76 36.3 25.0
Peyton Dincher - 1 21.6 5.0 6.0 0.0 2.0 0.0 0.0 7.0 6.0 - - - 14.3 20.0 100.0 - 31.7 21.4
Michelina Lombardi - 1 15.1 4.0 2.0 1.0 1.0 0.0 2.0 1.0 5.0 1 0.1 0.9 100.0 0 100.0 1.97 106.4 100.0
Jessica Wangolo - 1 24.4 4.0 1.0 4.0 2.0 0.0 1.0 7.0 3.0 - - - 14.3 0 100.0 - 25.4 14.3
Sophia Bonnell - 1 10.5 3.0 0.0 0.0 1.0 0.0 1.0 5.0 -2.0 - - - 20.0 20.0 0 - 30.0 30.0
Rachel Lynch - 1 9.7 2.0 3.0 0.0 1.0 0.0 3.0 2.0 1.0 - - - 50.0 0 0 - 50.0 50.0
Sydney Postell - 1 2.4 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0 0 - 0.0 0.0
Amya McLeod - 1 3.6 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