TEAM CLARK - 2025 | Sports Data

2025 Team Stats (1 games)

131.0

PPG

151.0

Opp

-20.0

Margin

48.6%

FG%

29.7%

3P%

100.0%

FT%

41.0

RPG

36.0

APG

8.0

TO

118.5

Pace

99.1

AdjO

106.7

AdjD

#15

Rank

Model Outputs

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 →	959 (#11)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	933 (#11)	-
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +45 elo More →	986 (#13)	HCA +45 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More →	-11.0 (#15)	HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More →	-9.7 (#15)	HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.120 (#15)	-
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -18.5 More →	0.120 (#15)	NetEff -18.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.7 More →	0.340 (#13)	AdjNet -4.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.7 More →	0.340 (#13)	AdjNet -4.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 99.1 \| AdjD 106.7 More →	0.335 (#15)	AdjO 99.1 \| AdjD 106.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 87.4 \| AdjD 90.0 More →	0.442 (#13)	AdjO 87.4 \| AdjD 90.0
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 →	0.373 (#13)	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 →	0.395 (#11)	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 →	900 (#11)	RD 350 \| GP 1

2025 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2025-07-19	vs	TEAM COLLIER	L	131 - 151

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	TO	FGA	Numbers	PM	PM/G	PM/40	FG%	3P%	FT%	RAPM	TS%	eFG%
K. Mitchell	G	1	21.0	20.0	2.0	2.0	2.0	0.0	13.0	13.0	-	-	-	61.5	42.9	100.0	0.56	74.4	73.1
K. Iriafen	F	1	23.0	17.0	10.0	1.0	2.0	2.0	15.0	13.0	-	-	-	46.7	28.6	100.0	-	55.1	53.3
Brittney Sykes	G	1	22.0	16.0	3.0	7.0	0.0	2.0	18.0	6.0	-	-	-	44.4	0.0	0	-0.54	44.4	44.4
Gabby Williams	F	1	24.0	16.0	0.0	5.0	1.0	1.0	11.0	10.0	-	-	-	45.5	40.0	100.0	-	67.3	63.6
Kayla Thornton	F	1	25.0	15.0	11.0	5.0	1.0	0.0	14.0	18.0	-	-	-	35.7	27.3	100.0	0.53	50.4	46.4
S. Ionescu	G	1	20.0	12.0	2.0	7.0	0.0	0.0	8.0	13.0	-	-	-	50.0	40.0	100.0	-0.23	67.6	62.5
Brionna Jones	F	1	12.0	11.0	3.0	3.0	0.0	0.0	6.0	11.0	-	-	-	83.3	100.0	0	0.97	91.7	91.7
S. Citron	G	1	21.0	11.0	2.0	2.0	1.0	1.0	11.0	4.0	-	-	-	36.4	37.5	0	-	50.0	50.0
A. Boston	F	1	18.0	9.0	6.0	2.0	0.0	0.0	7.0	10.0	-	-	-	57.1	25.0	0	-	64.3	64.3
A. Wilson	C	1	12.0	4.0	2.0	2.0	1.0	2.0	4.0	3.0	-	-	-	50.0	0.0	0	1.24	50.0	50.0
J. Young	G	1	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-	-	-	0	0	0	0.25	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