Wheeling - 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 →	1024 (#286)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1073 (#195)	-
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More →	1022 (#278)	HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More →	-0.1 (#350)	HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.889 (#246)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +5.5 More →	0.653 (#297)	AdjNet +5.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +5.2 More →	0.646 (#297)	AdjNet +5.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.6 \| AdjD 77.6 More →	0.611 (#282)	AdjO 82.6 \| AdjD 77.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.3 \| AdjD 74.5 More →	0.540 (#319)	AdjO 76.3 \| AdjD 74.5
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 →	0.548 (#359)	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 →	0.550 (#364)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 304 \| GP 1 More →	1096 (#182)	RD 304 \| GP 1

2026 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2025-12-15	vs	Franciscan	W	82 - 74

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%
Ayden Goll	-	1	34.5	21.0	6.0	6.0	3.0	2.0	1.0	15.0	22.0	-	-	-	46.7	66.7	100.0	-	64.3	60.0
Caleb Murray	-	1	28.7	15.0	2.0	0.0	0.0	0.0	4.0	11.0	2.0	-	-	-	36.4	25.0	100.0	-	56.8	45.5
Kris English	-	1	20.8	12.0	3.0	1.0	2.0	0.0	3.0	6.0	9.0	-	-	-	83.3	0	50.0	-	77.3	83.3
Tee Harris	-	1	28.6	12.0	11.0	2.0	2.0	4.0	3.0	10.0	18.0	-	-	-	50.0	33.3	100.0	-	57.5	55.0
Curtis Harrison IV	-	1	17.8	8.0	8.0	1.0	0.0	0.0	2.0	8.0	7.0	54	2.6	18.9	37.5	0.0	100.0	1.53	45.0	37.5
Jalen Wenger	-	1	14.0	8.0	1.0	0.0	1.0	0.0	0.0	6.0	4.0	-	-	-	50.0	33.3	50.0	-	58.1	58.3
Jerry Saunders Jr.	-	1	11.8	4.0	0.0	0.0	0.0	0.0	3.0	1.0	0.0	6	1.2	67.9	100.0	0	100.0	0.13	106.4	100.0
Trevor Beresford	-	1	4.6	2.0	2.0	0.0	0.0	1.0	0.0	1.0	4.0	-	-	-	100.0	0	0	-	100.0	100.0
Lamar Dampier	-	1	10.7	0.0	0.0	0.0	0.0	1.0	2.0	1.0	-2.0	-	-	-	0.0	0.0	0	-	0.0	0.0
Alex Smith	-	1	28.4	0.0	5.0	5.0	3.0	0.0	0.0	3.0	10.0	21	1.5	8.8	0.0	0.0	0	0.93	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