Charleston Cougars - 2025

2025 Team Stats (8 games)

70.4

PPG

57.9

Opp

+12.5

Margin

37.1%

FG%

27.0%

3P%

77.9%

FT%

39.3

RPG

12.5

APG

11.8

TO

87.6

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 →	1138 (#33)	HCA +113 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More →	+22.5 (#76)	HCA +2.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.3 \| AdjD 59.3 More →	0.749 (#39)	AdjO 71.3 \| AdjD 59.3
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 →	0.904 (#67)	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 →	0.890 (#61)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 \| GP 30 More →	1262 (#42)	RD 114 \| GP 30

2025 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2025-01-03	vs	Towson Tigers	W	67 - 50
2025-01-10	@	Hofstra Pride	W	64 - 51
2025-01-31	vs	Stony Brook Seawolves	W	66 - 53
2025-02-07	@	North Carolina A&T Aggies	L	59 - 71
2025-02-21	@	Hampton Lady Pirates	-	Preview
2025-02-25	@	Hampton Lady Pirates	W	70 - 58
2025-02-28	vs	Elon Phoenix	W	91 - 51
2025-03-14	vs	Delaware Blue Hens	W	87 - 49
2025-03-15	vs	Campbell Fighting Camels	L	59 - 80

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%
Tar. Barbot	G	8	36.0	16.2	7.8	3.1	2.0	0.1	1.6	15.2	12.4	101	3.1	3.3	33.6	27.9	88.6	1.15	47.3	40.6
Tay. Barbot	G	8	31.5	11.1	4.5	3.4	2.2	0.0	2.1	13.5	5.6	101	3.1	3.3	32.4	20.0	80.0	1.15	38.1	33.8
M. Brooks-Sumpter	G	8	26.8	10.0	4.1	1.5	1.4	0.1	1.2	8.2	7.6	73	2.2	2.8	47.0	22.2	84.2	0.47	53.8	48.5
L. Rohkohl	F	8	31.1	9.4	8.5	1.0	1.5	2.5	2.0	7.0	13.9	69	2.0	2.4	60.7	0	63.6	1.04	61.6	60.7
J. Stone	G	8	24.8	8.8	2.0	1.6	1.0	0.1	2.4	8.1	3.0	57	1.8	2.9	36.9	26.9	78.9	0.77	47.7	42.3
S. Tougas	G	8	16.5	5.9	2.1	0.9	0.8	0.1	0.5	7.8	1.5	33	1.1	2.7	27.4	28.3	0	0.24	37.9	37.9
N. Willis	G	8	16.0	4.9	0.8	0.2	1.1	0.0	0.6	4.2	2.1	88	2.8	6.4	29.4	31.6	68.4	0.77	46.0	38.2
L. Philpotts	G	7	4.6	2.6	0.1	0.3	0.3	0.0	0.4	1.6	1.3	34	1.3	5.8	45.5	33.3	54.5	-0.06	56.8	54.5
J. Hill	G	1	9.0	2.0	1.0	0.0	2.0	0.0	0.0	7.0	-2.0	30	2.1	5.3	14.3	0.0	0	0.64	14.3	14.3
M. Brown	G	8	9.9	1.4	3.5	0.5	0.8	0.1	0.5	1.6	4.1	57	1.8	5.7	30.8	0.0	75.0	1.18	37.3	30.8
C. Blount	F	5	3.8	0.4	0.8	0.0	0.2	0.2	0.0	0.2	1.4	22	1.6	11.9	0.0	0	100.0	-0.69	53.2	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