🐻⬇️🏀

Grambling

Season: 2026 2025 2020
Also known as: Grambling
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 → 1032 (#276) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1004 (#406) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +38.3 (#50) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#13) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +75.9 More → 1.000 (#13) NetEff +75.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +63.8 More → 1.000 (#32) AdjNet +63.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +64.9 More → 1.000 (#19) AdjNet +64.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 95.2 | AdjD 46.4 More → 0.988 (#10) AdjO 95.2 | AdjD 46.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.8 | AdjD 55.6 More → 0.863 (#29) AdjO 75.8 | AdjD 55.6
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 → 0.933 (#43) 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 → 0.917 (#44) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-22 vs LeTourneau W 97 - 33

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%
Shaniah Nunn - 1 17.4 18.0 12.0 3.0 2.0 0.0 2.0 11.0 22.0 - - - 63.6 0 66.7 - 66.0 63.6
Arianna Mosley - 1 18.9 15.0 2.0 0.0 0.0 1.0 3.0 14.0 1.0 - - - 50.0 20.0 0.0 - 49.0 53.6
Zhaniah Ervin - 1 20.6 12.0 7.0 0.0 0.0 0.0 2.0 6.0 11.0 - - - 83.3 0 100.0 - 87.2 83.3
Claire Simmons - 1 14.0 12.0 3.0 1.0 2.0 1.0 0.0 7.0 12.0 - - - 57.1 50.0 50.0 - 62.2 64.3
Monica Marsh - 1 21.6 10.0 4.0 6.0 6.0 0.0 3.0 7.0 16.0 - - - 57.1 40.0 0.0 - 63.5 71.4
Zaria Johnson - 1 12.5 10.0 5.0 1.0 0.0 1.0 1.0 9.0 7.0 -166 -12.8 -90.2 44.4 50.0 50.0 -3.64 50.6 50.0
Alisha Murray - 1 10.8 8.0 6.0 2.0 3.0 0.0 1.0 6.0 12.0 - - - 66.7 0.0 0.0 - 58.1 66.7
Deborrah Seitu-Redmon - 1 14.2 4.0 4.0 1.0 1.0 0.0 0.0 3.0 7.0 - - - 66.7 0 0 - 66.7 66.7
Douthsine Prien - 1 26.2 4.0 7.0 3.0 1.0 0.0 1.0 2.0 12.0 - - - 50.0 0.0 66.7 - 60.2 50.0
Alieghya Bartholomew - 1 12.0 2.0 2.0 3.0 0.0 0.0 2.0 1.0 4.0 - - - 100.0 0 0 - 100.0 100.0
Jakiylah Esco - 1 21.3 2.0 5.0 2.0 0.0 0.0 2.0 3.0 4.0 - - - 33.3 0 0 - 33.3 33.3
D'Mya Griffin - 1 10.5 0.0 2.0 2.0 2.0 0.0 2.0 3.0 1.0 - - - 0.0 0.0 0.0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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