Delaware - 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 →	1019 (#216)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1053 (#186)	-
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More →	1014 (#285)	HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More →	+12.3 (#183)	HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.981 (#131)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.3 More →	0.902 (#201)	AdjNet +19.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.9 More →	0.905 (#208)	AdjNet +18.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.7 \| AdjD 63.4 More →	0.786 (#180)	AdjO 77.7 \| AdjD 63.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.2 \| AdjD 63.8 More →	0.554 (#245)	AdjO 66.2 \| AdjD 63.8
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 →	0.718 (#159)	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 (#178)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 \| GP 1 More →	1088 (#137)	RD 350 \| GP 1

2026 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2025-11-03	vs	Bloomsburg	W	83 - 59

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%
Trinity Vance	-	1	18.9	15.0	4.0	1.0	1.0	0.0	1.0	9.0	11.0	-	-	-	44.4	50.0	83.3	-	64.4	55.6
Lay Fantroy	-	1	23.6	14.0	8.0	2.0	1.0	0.0	2.0	8.0	15.0	-	-	-	62.5	100.0	75.0	-	71.7	68.8
Kendall Scott	-	1	28.3	11.0	3.0	1.0	2.0	0.0	2.0	12.0	3.0	-9	-0.6	-242.7	33.3	20.0	66.7	-1.43	41.3	37.5
Kailah Correa	-	1	22.5	11.0	4.0	1.0	0.0	0.0	0.0	8.0	8.0	-	-	-	50.0	100.0	100.0	-	61.9	56.2
Claudia Clement	-	1	19.6	6.0	3.0	2.0	0.0	0.0	1.0	5.0	5.0	-	-	-	60.0	0	0.0	-	55.1	60.0
Safi Kolliegbo	-	1	27.1	6.0	3.0	2.0	3.0	0.0	3.0	7.0	4.0	-	-	-	42.9	0	0	-	42.9	42.9
Arantxa Portalez	-	1	22.7	5.0	5.0	1.0	2.0	0.0	3.0	3.0	7.0	-	-	-	66.7	0.0	50.0	-	64.4	66.7
Ande'a Cherisier	-	1	5.7	5.0	1.0	0.0	0.0	2.0	0.0	2.0	6.0	-	-	-	50.0	0	75.0	-	66.5	50.0
Grace Sundback	-	1	21.6	5.0	2.0	1.0	0.0	0.0	1.0	7.0	0.0	-	-	-	28.6	33.3	0	-	35.7	35.7
Jiya Perry	-	1	10.1	5.0	5.0	0.0	1.0	0.0	0.0	5.0	6.0	-	-	-	40.0	50.0	0	-	50.0	50.0

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