🐻⬇️🏀

Sam Houston Bearkats

Also known as: Sam Houston Bearkats
Program History

2026 Team Stats (29 games)

64.7
PPG
61.2
Opp
+3.5
Margin
39.6%
FG%
26.9%
3P%
61.7%
FT%
34.8
RPG
13.4
APG
17.5
TO
87.2
Pace

Model Outputs

2025-2026
Catalog

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 → 1015 (#166) HCA +113 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → +10.2 (#200) HCA +2.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.0 | AdjD 62.7 More → 0.529 (#192) AdjO 64.0 | AdjD 62.7
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 → 0.758 (#161) 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 → 0.717 (#167) 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 29 More → 1063 (#166) RD 114 | GP 29

2026 Schedule & Results

2026 Roster

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%
F. Kone F. Kone G 28 36.2 13.5 4.1 5.0 3.8 0.1 3.8 10.5 12.3 72 4.5 4.9 45.9 25.4 65.0 0.32 53.2 49.0
D. Ogayemi D. Ogayemi F 25 34.8 12.3 7.2 0.8 2.6 0.2 1.9 9.0 12.2 34 2.0 2.4 49.1 0 69.9 2.09 55.0 49.1
W. Dunn W. Dunn G 29 26.2 10.5 3.0 1.6 1.3 0.1 2.8 10.9 2.9 103 6.1 9.1 36.2 29.8 61.4 0.25 44.1 41.6
N. Inmon N. Inmon F 29 29.6 10.5 5.6 2.0 1.5 0.3 2.8 11.0 6.2 63 3.7 5.3 35.8 5.6 49.4 -0.21 39.5 36.0
A. Ward-Strong A. Ward-Strong G 29 32.2 7.1 5.6 1.7 2.4 0.8 1.0 7.0 9.5 41 2.4 2.9 42.1 23.5 59.3 -0.24 45.6 43.1
A. Corcoran A. Corcoran G 24 19.5 6.6 1.3 1.2 0.8 0.0 1.5 5.9 2.6 39 3.2 8.3 37.6 29.2 60.5 -0.32 49.4 46.8
E. Rodellar E. Rodellar G 28 10.2 2.1 1.4 0.6 0.7 0.0 0.8 2.5 1.5 -11 -0.7 -3.1 25.7 27.8 73.9 -2.38 36.2 29.3
K. Grant K. Grant G 1 6.0 2.0 0.0 0.0 0.0 0.0 1.0 2.0 -1.0 -12 -12.0 -79.8 50.0 0 0 0.29 50.0 50.0
K. Carr K. Carr G 23 4.7 1.5 0.6 0.2 0.3 0.0 0.9 1.3 0.4 28 2.3 37.1 45.2 20.0 83.3 -2.71 50.5 46.8
B. Okoh B. Okoh F 20 4.5 1.4 0.9 0.1 0.1 0.1 0.5 1.1 1.0 -13 -0.9 -9.4 34.8 33.3 90.0 -3.21 51.1 41.3
A. Brown A. Brown G 28 6.5 1.4 1.0 0.2 0.2 0.0 0.5 1.5 0.8 251 16.7 19.6 32.6 30.0 75.0 5.14 41.4 36.0
B. Block B. Block G 29 6.0 1.2 0.7 0.4 0.3 0.0 0.8 2.0 -0.1 - - - 22.4 25.0 25.0 - 30.1 30.2
L. Salinas Beamen L. Salinas Beamen C 16 4.7 1.1 0.4 0.2 0.1 0.2 0.4 1.1 0.4 22 2.4 56.5 50.0 0 0.0 -0.94 48.8 50.0
T. Mathis T. Mathis G 0 - 0.0 0.0 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