Butler Bulldogs - 2025

2025 Team Stats (3 games)

55.0

PPG

81.5

Opp

-18.5

Margin

38.8%

FG%

38.7%

3P%

76.7%

FT%

24.7

RPG

14.0

APG

24.3

TO

79.4

Pace

65.8

AdjO

60.7

AdjD

#116

Rank

Model Outputs

2024-2025

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 →	1013 (#162)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1025 (#152)	-
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More →	+5.4 (#116)	HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.429 (#187)	-
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More →	0.429 (#188)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.3 More →	0.721 (#120)	AdjNet +8.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.6 More →	0.731 (#119)	AdjNet +8.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.8 \| AdjD 60.7 More →	0.615 (#116)	AdjO 65.8 \| AdjD 60.7

2025 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2024-11-06	vs	Chicago State Cougars	W	87 - 45
2024-11-30	vs	Texas Longhorns	L	59 - 94
2025-02-02	@	UConn Huskies	L	59 - 101
2025-02-22	vs	UConn Huskies	L	47 - 86

2025 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%
K. McGuff	G	4	30.8	13.0	7.5	1.8	1.0	0.2	2.8	12.2	8.5	23	1.0	1.9	36.7	34.6	63.6	0.44	48.3	45.9
C. Strande	G	2	25.5	11.0	2.5	0.5	1.0	0.0	2.0	8.0	5.0	4	0.3	0.4	50.0	42.9	75.0	0.13	61.9	59.4
R. Makalusky	F	4	21.2	8.0	1.8	0.8	0.8	0.2	2.0	7.0	2.5	-37	-1.1	-1.6	39.3	21.4	100.0	-0.1	51.5	44.6
L. Zeinstra	G	4	24.0	6.8	2.2	0.8	0.0	0.2	2.0	4.5	3.5	20	0.6	0.7	50.0	36.4	83.3	1.73	65.4	61.1
L. Carmody	G	4	22.8	6.0	1.8	2.5	1.5	0.8	3.0	5.2	4.2	-48	-1.5	-2.0	33.3	40.0	80.0	-0.07	47.2	38.1
C. Carter	F	4	15.2	5.8	5.2	1.2	0.0	1.0	1.8	4.0	7.5	20	0.6	1.4	56.2	0	83.3	0.5	61.7	56.2
S. Jaynes	F	4	16.2	5.2	1.5	1.2	0.5	0.2	1.2	5.5	2.0	-13	-0.4	-0.6	45.5	25.0	0.0	0.61	45.9	47.7
A. Wiggins	G	4	18.5	5.0	0.8	2.5	1.2	0.2	2.8	4.0	3.0	-15	-0.5	-0.8	43.8	50.0	66.7	0.6	53.6	50.0
J. Land	F	4	12.2	4.2	0.2	0.5	0.2	0.5	1.2	2.5	2.0	0	0.0	0.0	50.0	50.0	100.0	0.07	72.3	65.0
K. Norman	G	4	18.5	2.8	0.5	3.2	0.0	0.0	2.0	3.8	0.8	-20	-0.6	-1.0	26.7	30.0	0	0.2	36.7	36.7
L. Stoddard	F	4	7.8	0.8	1.2	0.0	0.0	0.0	0.2	1.2	0.5	-17	-0.7	-4.1	20.0	0	50.0	-0.39	25.5	20.0

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