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Elon

Season: 2026
Also known as: Elon
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 → 1060 (#220) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1028 (#257) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +61.2 (#7) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#69) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +67.4 More → 1.000 (#49) NetEff +67.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +44.6 More → 0.995 (#95) AdjNet +44.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +44.0 More → 0.996 (#96) AdjNet +44.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 91.7 | AdjD 55.2 More → 0.965 (#64) AdjO 91.7 | AdjD 55.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 86.1 | AdjD 56.0 More → 0.939 (#4) AdjO 86.1 | 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 → 0.968 (#16) 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 → 0.959 (#15) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-30 vs N.C. Wesleyan W 111 - 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%
Tamia Watkins - 1 23.6 23.0 10.0 2.0 3.0 3.0 2.0 14.0 25.0 -8 -0.6 -150.0 64.3 0 50.0 -0.24 62.5 64.3
LaNae' Corbett - 1 15.1 20.0 4.0 2.0 2.0 2.0 0.0 10.0 20.0 - - - 80.0 0 66.7 - 79.1 80.0
Ashlee Shaw - 1 19.0 18.0 5.0 1.0 5.0 2.0 1.0 11.0 19.0 - - - 63.6 25.0 75.0 - 70.5 68.2
Laila Anderson - 1 17.1 14.0 3.0 2.0 2.0 0.0 0.0 9.0 12.0 - - - 55.6 50.0 100.0 - 70.9 66.7
Ashanti Fox - 1 24.8 12.0 4.0 6.0 3.0 0.0 3.0 6.0 16.0 - - - 83.3 66.7 0 - 100.0 100.0
Quinzia Fulmore - 1 14.0 8.0 6.0 1.0 0.0 0.0 3.0 5.0 7.0 - - - 60.0 0 100.0 - 68.0 60.0
Tyana Walker - 1 16.9 5.0 3.0 3.0 3.0 0.0 1.0 4.0 9.0 -1 -0.1 -3.1 50.0 50.0 0 -0.51 62.5 62.5
Kierra Morrow - 1 20.9 4.0 5.0 2.0 0.0 1.0 0.0 7.0 5.0 - - - 28.6 0.0 0 - 28.6 28.6
Samira Khalil - 1 24.0 4.0 1.0 2.0 3.0 0.0 2.0 7.0 1.0 - - - 28.6 0.0 0 - 28.6 28.6
Ruby Willard - 1 19.4 3.0 1.0 4.0 2.0 0.0 2.0 4.0 4.0 - - - 25.0 0 50.0 - 30.7 25.0
Maraja Pass - 1 5.2 0.0 1.0 3.0 1.0 0.0 1.0 1.0 3.0 - - - 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