Christendom - 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 →	949 (#467)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	914 (#476)	-
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More →	912 (#660)	HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More →	-27.2 (#743)	HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.013 (#781)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -42.1 More →	0.007 (#781)	AdjNet -42.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -42.5 More →	0.007 (#781)	AdjNet -42.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 49.8 \| AdjD 78.0 More →	0.072 (#765)	AdjO 49.8 \| AdjD 78.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.7 \| AdjD 73.3 More →	0.211 (#731)	AdjO 58.7 \| AdjD 73.3
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 →	0.114 (#737)	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 →	0.126 (#731)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 187 \| GP 6 More →	795 (#562)	RD 187 \| GP 6

2026 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2025-11-11	@	Roanoke	L	38 - 90
2025-11-15	vs	Valley Forge	W	60 - 53
2025-12-03	@	Mary Baldwin	L	53 - 82
2026-01-19	vs	McDaniel	L	39 - 52
2026-01-21	@	Regent	W	72 - 70
2026-01-28	vs	Regent	L	67 - 72
2026-01-31	@	JWU Charlotte	L	0 - 0

2026 Roster

Show Alumni

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%
John Fowler	-	4	35.1	14.2	2.2	2.0	2.0	0.0	1.8	12.2	6.5	-	-	-	36.7	41.4	64.3	-	51.7	49.0
Bobby Vander Woude	-	6	35.5	12.3	5.2	3.8	1.5	0.0	3.0	15.0	4.8	-	-	-	26.7	21.1	69.2	-	36.5	31.1
Michael Vander Woude	-	6	32.1	11.2	2.5	1.2	0.5	0.2	1.2	9.5	4.8	-	-	-	40.4	35.1	88.9	-	55.0	51.8
Daniel Schultz	-	4	21.9	9.8	6.5	0.5	0.2	0.5	2.2	9.2	6.0	-	-	-	45.9	0	45.5	-	46.6	45.9
Edmund Thomas	-	6	23.8	4.7	6.3	1.0	0.2	0.2	1.8	5.0	5.5	-47	-1.7	-100.4	43.3	33.3	25.0	0.1	44.1	45.0
Luke Ross	-	6	19.2	3.5	3.5	0.3	0.2	0.0	1.0	4.7	1.8	-	-	-	28.6	0	55.6	-	32.9	28.6
David Echaniz	-	3	17.7	3.3	1.7	1.0	0.3	0.7	1.3	4.3	1.3	-	-	-	23.1	20.0	60.0	-	32.9	26.9
Joe Curran	-	5	14.7	2.0	2.4	0.0	0.2	0.2	0.8	2.8	1.2	-	-	-	28.6	28.6	0.0	-	32.6	35.7
Charlie Evich	-	4	16.1	2.0	1.2	0.8	0.8	0.0	0.0	3.0	1.8	-	-	-	25.0	0.0	100.0	-	31.1	25.0

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