Wyoming Cowgirls - 2025

2025 Team Stats (2 games)

62.5

PPG

58.5

Opp

+4.0

Margin

38.5%

FG%

31.9%

3P%

80.0%

FT%

42.5

RPG

16.0

APG

19.5

TO

83.5

Pace

Model Outputs

2025-2026 latest available

Catalog

No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.

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

Model	Output	Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +113 elo More →	954 (#473)	HCA +113 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More →	+8.3 (#222)	HCA +2.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.0 \| AdjD 60.6 More →	0.418 (#426)	AdjO 57.0 \| AdjD 60.6
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 →	0.566 (#261)	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 →	0.530 (#264)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 150 \| GP 28 More →	900 (#401)	RD 150 \| GP 28

2025 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2025-03-11	vs	Fresno State Bulldogs	W	57 - 45
2025-03-12	vs	San Diego State Aztecs	L	68 - 72

2025 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%
A. Fertig	C	2	45.5	17.0	18.0	1.0	0.0	1.5	5.0	13.5	19.0	86	2.6	2.9	48.1	0.0	80.0	0.97	54.1	48.1
M. Pedersen	G	2	40.5	16.5	4.0	5.5	0.5	0.0	1.0	14.5	11.0	44	1.3	1.6	48.3	36.4	100.0	0.31	56.0	55.2
E. Mellema	G	2	45.5	10.0	8.0	2.5	2.0	1.0	3.0	12.0	8.5	81	2.4	2.9	29.2	25.0	75.0	0.95	38.8	35.4
M. Dickerson	G	2	16.0	7.0	2.0	1.5	1.0	0.0	1.5	5.0	5.0	24	1.1	1.7	30.0	50.0	100.0	0.58	55.4	40.0
O. Ustowska	G	2	22.5	4.5	2.0	2.0	1.0	0.0	3.5	4.0	2.0	56	1.7	2.7	37.5	37.5	0.0	0.4	50.7	56.2
T. Barnes	G	2	39.0	4.0	1.5	3.0	1.0	0.5	2.5	6.0	1.5	77	2.4	3.0	25.0	25.0	0	1.06	33.3	33.3
K. Ollilainen	G	2	21.5	3.5	2.0	0.0	0.0	0.0	1.0	3.0	1.5	8	0.2	0.4	33.3	33.3	100.0	0.05	50.9	41.7
M. Hamlin	G	1	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-4	-0.4	-5.9	0	0	0	-1.22	0	0
J. Igo	G	1	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-1	-0.1	-4.5	0	0	0	-1.79	0	0
M. Symons	F	2	3.5	0.0	1.0	0.5	0.5	0.0	0.0	0.5	1.5	3	0.1	0.3	0.0	0	0	-0.08	0.0	0.0
L. Alvar	F	2	2.0	0.0	0.5	0.0	0.0	0.0	0.0	0.0	0.5	-33	-1.3	-7.7	0	0	0	-0.43	0	0
L. Beslic	G	1	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-15	-1.9	-72.7	0	0	0	-1.82	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