Grambling - 2026 | Sports Data

Model Outputs

2025-2026

Catalog

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

Model	Output	Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More →	1018 (#332)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1040 (#291)	-
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More →	993 (#511)	HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More →	+12.5 (#197)	HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.994 (#155)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +16.4 More →	0.869 (#195)	AdjNet +16.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.1 More →	0.870 (#196)	AdjNet +16.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.0 \| AdjD 70.0 More →	0.749 (#200)	AdjO 82.0 \| AdjD 70.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.9 \| AdjD 72.3 More →	0.686 (#115)	AdjO 80.9 \| AdjD 72.3
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 →	0.702 (#205)	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 →	0.696 (#203)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 270 \| GP 1 More →	990 (#393)	RD 270 \| GP 1

2026 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2025-12-30	vs	Centenary (LA)	W	90 - 58

2026 Roster

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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%
Jimel Lane	-	1	28.9	18.0	6.0	1.0	2.0	0.0	2.0	13.0	12.0	-114	-6.7	-34.5	61.5	0.0	100.0	-0.05	64.8	61.5
Mekhi Fitts	-	1	24.3	14.0	7.0	0.0	0.0	1.0	2.0	9.0	11.0	-	-	-	66.7	100.0	33.3	-	67.8	72.2
Rickey Ballard	-	1	13.3	12.0	1.0	0.0	2.0	0.0	0.0	9.0	6.0	-	-	-	44.4	50.0	0	-	66.7	66.7
Devyn Franklin	-	1	28.8	11.0	11.0	1.0	3.0	0.0	3.0	7.0	16.0	-	-	-	57.1	0.0	60.0	-	59.8	57.1
Richard Amaefule	-	1	21.5	8.0	3.0	1.0	0.0	0.0	0.0	7.0	5.0	-	-	-	42.9	0.0	100.0	-	50.8	42.9
PJ Edwards	-	1	22.5	8.0	4.0	1.0	1.0	0.0	2.0	6.0	6.0	-	-	-	33.3	0.0	100.0	-	51.5	33.3
Antonio Munoz	-	1	12.5	6.0	2.0	2.0	0.0	0.0	0.0	4.0	6.0	-	-	-	50.0	0.0	100.0	-	61.5	50.0
Jamil Muttilib	-	1	17.8	6.0	3.0	2.0	3.0	0.0	0.0	6.0	8.0	-	-	-	33.3	25.0	100.0	-	46.6	41.7
Chancellor Perkins	-	1	20.8	5.0	5.0	4.0	0.0	0.0	0.0	5.0	9.0	-8	-0.4	-7.1	20.0	50.0	100.0	1.48	42.5	30.0
Roderick Coffee III	-	1	9.6	2.0	1.0	1.0	0.0	0.0	1.0	1.0	2.0	-25	-2.1	-45.5	100.0	0	0	-0.82	100.0	100.0

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