Houston Cougars
2026 Team Stats (27 games)
62.3
PPG
73.1
Opp
-10.8
Margin
36.9%
FG%
26.3%
3P%
73.4%
FT%
34.1
RPG
10.6
APG
17.9
TO
86.0
Pace
66.1
AdjO
66.2
AdjD
#166
Rank
Model Outputs
2025-2026
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 → | 839 (#278) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 931 (#223) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 842 (#578) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.1 (#166) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.7 (#190) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.113 (#319) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.126 (#299) | NetEff -14.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.515 (#164) | AdjNet +0.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.519 (#161) | AdjNet +0.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.498 (#166) | AdjO 66.1 | AdjD 66.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.357 (#512) | AdjO 62.7 | AdjD 69.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.634 (#228) | 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. More → | 0.563 (#245) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 857 (#488) | RD 163 | GP 27 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TK Pitts
|
G | 25 | 29.9 | 10.3 | 7.4 | 1.5 | 2.6 | 0.4 | 1.8 | 9.0 | 11.3 | -135 | -6.4 | -10.3 | 39.1 | 23.1 | 69.4 | -1.25 | 47.2 | 40.4 |
K. Hunter
|
G | 26 | 20.9 | 9.8 | 2.0 | 1.3 | 0.8 | 0.0 | 2.1 | 8.9 | 2.8 | -107 | -4.9 | -10.2 | 34.6 | 30.9 | 78.9 | -0.92 | 48.0 | 42.0 |
B. Peguero
|
G | 26 | 27.0 | 9.2 | 2.0 | 2.3 | 1.7 | 0.2 | 2.8 | 8.7 | 4.0 | -109 | -5.0 | -7.9 | 35.6 | 33.7 | 78.1 | -0.3 | 47.4 | 42.2 |
A. Abdur-Rahim
|
F | 26 | 26.2 | 8.4 | 5.3 | 1.1 | 1.0 | 1.2 | 3.0 | 8.1 | 5.9 | -91 | -4.1 | -6.3 | 42.7 | 23.3 | 60.4 | 0.68 | 47.2 | 45.0 |
K. Merchant
|
G | 26 | 22.5 | 8.2 | 4.1 | 1.2 | 1.2 | 0.8 | 2.3 | 7.9 | 5.3 | -148 | -6.7 | -11.1 | 38.5 | 24.4 | 74.2 | -0.39 | 46.1 | 41.0 |
J. Jones
|
F | 27 | 21.5 | 5.6 | 4.4 | 0.7 | 1.1 | 0.3 | 1.6 | 5.9 | 4.5 | 120 | 5.2 | 7.3 | 38.8 | 19.0 | 63.2 | 2.94 | 43.0 | 40.0 |
K. King
|
G | 27 | 21.4 | 4.4 | 1.2 | 1.0 | 0.3 | 0.1 | 1.4 | 5.0 | 0.5 | -110 | -4.8 | -8.1 | 31.3 | 22.4 | 75.0 | -0.23 | 40.3 | 36.2 |
K. Poole
|
G | 6 | 16.2 | 4.2 | 1.3 | 1.8 | 1.7 | 0.2 | 2.2 | 5.0 | 2.0 | 28 | 2.3 | 10.9 | 23.3 | 15.0 | 80.0 | 1.58 | 36.3 | 28.3 |
J. Ross
|
F | 22 | 16.5 | 3.8 | 2.0 | 0.5 | 0.2 | 0.2 | 1.4 | 3.7 | 1.6 | -39 | -2.4 | -7.8 | 42.7 | 0.0 | 77.8 | -2.5 | 46.7 | 42.7 |
S. Anumele
|
G | 26 | 10.8 | 3.6 | 1.2 | 0.8 | 0.5 | 0.0 | 0.7 | 3.2 | 2.3 | -50 | -2.3 | -9.2 | 29.3 | 16.7 | 79.2 | 0.34 | 44.6 | 31.7 |
A. Bartlett
|
F | 21 | 11.5 | 1.2 | 2.5 | 0.2 | 0.3 | 0.6 | 0.8 | 1.2 | 2.8 | 97 | 4.4 | 23.5 | 30.8 | 0 | 90.0 | -0.32 | 41.1 | 30.8 |
S. Bostock
|
G | 1 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6 | 6.0 | 184.6 | 0 | 0 | 0 | 0.83 | 0 | 0 |
Jemma Hunter
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 57 | 2.4 | 3.8 | - | - | - | 2.85 | - | - |
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