Temple Owls - 2025 | Sports Data

2025 Team Stats (6 games)

65.3

PPG

70.0

Opp

-4.7

Margin

37.0%

FG%

33.0%

3P%

80.4%

FT%

35.3

RPG

10.8

APG

12.5

TO

82.6

Pace

68.9

AdjO

61.6

AdjD

#100

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 →	1089 (#122)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1141 (#89)	-
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More →	+7.6 (#99)	HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.678 (#110)	-
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More →	0.678 (#110)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +11.7 More →	0.793 (#98)	AdjNet +11.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.8 More →	0.797 (#97)	AdjNet +11.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.9 \| AdjD 61.6 More →	0.660 (#100)	AdjO 68.9 \| AdjD 61.6

2025 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2024-12-15	vs	West Virginia Mountaineers	L	46 - 68
2024-12-22	@	California Golden Bears	L	63 - 89
2025-02-25	@	Memphis Tigers	W	91 - 79
2025-02-28	vs	Rice Owls	W	83 - 63
2025-03-04	@	Charlotte 49ers	W	60 - 54
2025-03-11	vs	Rice Owls	L	49 - 67

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%
T. East	G	6	34.0	17.2	6.0	2.3	1.2	0.0	2.8	15.3	8.5	75	2.4	2.6	34.8	38.1	91.2	0.89	48.1	39.1
K. Turner	G	6	22.7	11.2	2.8	1.3	1.2	0.3	1.7	11.5	3.7	35	1.2	2.0	36.2	31.6	78.6	0.59	44.6	40.6
T. Gary	G	6	33.2	8.3	3.0	2.3	0.5	0.2	1.7	9.0	3.7	103	3.3	3.5	31.5	35.7	85.7	1.89	43.8	40.7
J. Molina	F	6	24.7	8.2	5.7	0.8	1.8	0.7	2.0	6.5	8.7	78	2.5	3.6	51.3	0.0	64.3	1.08	54.3	51.3
T. Taylor	G	6	25.8	8.0	1.3	2.2	0.8	0.0	0.8	6.7	4.8	40	1.3	1.6	45.0	75.0	85.7	0.27	55.7	52.5
A. Rivera	F	6	24.2	6.3	5.7	0.5	1.0	1.5	1.5	7.2	6.3	31	1.0	1.5	27.9	7.1	92.9	0.59	38.6	29.1
A. Oliver	F	6	24.0	4.7	4.2	1.2	1.2	1.2	1.2	4.0	7.2	40	1.4	2.0	45.8	0	60.0	0.46	49.3	45.8
K. Cedano	G	4	4.2	1.2	0.2	0.0	0.0	0.0	0.2	1.0	0.2	12	0.6	5.4	50.0	50.0	0	-0.57	62.5	62.5
F. Jacobs	F	5	5.0	0.4	0.6	0.0	0.0	0.4	0.2	0.8	0.4	-3	-0.1	-0.4	25.0	0	0	-0.04	25.0	25.0
S. Curry	G	6	3.8	0.3	0.5	0.2	0.0	0.0	0.2	1.0	-0.2	23	0.7	2.3	16.7	0.0	0.0	0.31	14.5	16.7
A. Wilkinson	F	1	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	-1.0	0	0.0	0.0	0.0	0	0	-2.24	0.0	0.0
D. Alexander	G	2	1.5	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	3	0.2	1.8	0	0	0	-0.77	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