Texas
2026 Team Stats (35 games)
83.1
PPG
76.2
Opp
+6.9
Margin
48.6%
FG%
35.7%
3P%
74.2%
FT%
37.5
RPG
12.5
APG
10.8
TO
80.5
Pace
85.1
AdjO
69.0
AdjD
#35
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 → | 1150 (#68) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1216 (#44) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1084 (#64) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.1 (#34) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +29.0 (#28) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.693 (#73) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.332 (#217) | NetEff -7.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.917 (#36) | AdjNet +20.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.920 (#36) | AdjNet +21.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.812 (#35) | AdjO 85.1 | AdjD 69.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.717 (#36) | AdjO 79.0 | AdjD 68.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.926 (#36) | 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 → | 0.902 (#36) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1230 (#50) | RD 95 | GP 35 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dailyn Swain
|
G | 35 | 32.7 | 17.3 | 7.6 | 3.7 | 1.6 | 0.3 | 2.7 | 11.0 | 16.9 | 165 | 6.3 | 11.3 | 54.2 | 35.2 | 81.9 | 1.58 | 64.6 | 58.3 |
M. Vokietaitis
|
C | 35 | 25.9 | 15.6 | 7.0 | 0.7 | 0.2 | 0.9 | 2.1 | 8.4 | 13.8 | 145 | 6.6 | 12.5 | 61.7 | 0 | 66.9 | 1.26 | 65.8 | 61.7 |
T. Mark
|
- | 35 | 28.2 | 14.0 | 3.5 | 1.8 | 1.0 | 0.5 | 1.2 | 10.7 | 8.9 | 78 | 3.5 | 6.0 | 47.6 | 34.7 | 74.8 | 0.33 | 57.9 | 54.4 |
J. Pope
|
- | 35 | 28.9 | 13.0 | 2.1 | 1.9 | 0.4 | 0.1 | 0.9 | 10.5 | 6.1 | 161 | 6.7 | 11.8 | 39.9 | 36.9 | 83.5 | 1.75 | 55.7 | 51.1 |
C. Weaver
|
- | 35 | 21.0 | 5.9 | 4.2 | 1.2 | 0.8 | 0.1 | 0.7 | 4.7 | 6.9 | 70 | 2.9 | 7.6 | 44.8 | 22.2 | 71.4 | 0.56 | 53.1 | 47.9 |
C. Heide
|
F | 34 | 22.4 | 5.9 | 2.6 | 0.7 | 0.4 | 0.1 | 0.4 | 4.2 | 5.1 | 124 | 5.9 | 12.5 | 49.3 | 45.3 | 70.6 | 0.98 | 66.7 | 66.0 |
S. Wilcher
|
G | 35 | 18.7 | 5.6 | 1.8 | 1.7 | 0.7 | 0.3 | 1.3 | 4.7 | 4.1 | 91 | 3.8 | 9.8 | 38.0 | 34.8 | 90.9 | 0.86 | 53.1 | 47.3 |
N. Codie
|
- | 24 | 15.8 | 4.1 | 3.1 | 0.8 | 0.1 | 0.5 | 0.6 | 3.4 | 4.7 | -21 | -1.9 | -6.8 | 49.4 | 14.3 | 63.0 | -0.57 | 53.3 | 50.6 |
L. Traore
|
- | 22 | 16.0 | 3.6 | 5.2 | 0.6 | 0.5 | 0.3 | 1.0 | 2.2 | 6.9 | 77 | 3.5 | 10.4 | 44.9 | 0.0 | 66.0 | 0.81 | 54.6 | 44.9 |
Declan Duru Jr.
|
- | 12 | 7.0 | 1.2 | 1.2 | 0.0 | 0.4 | 0.1 | 0.3 | 1.2 | 1.4 | 39 | 3.5 | 23.7 | 50.0 | 0.0 | 25.0 | 0.57 | 47.6 | 50.0 |
A. McDermott
|
- | 7 | 2.9 | 0.9 | 0.6 | 0.3 | 0.3 | 0.0 | 0.3 | 0.6 | 1.1 | -2 | -0.3 | -5.7 | 50.0 | 50.0 | 0 | -0.04 | 75.0 | 75.0 |
Brandon Taylor
|
- | 4 | 1.2 | 0.8 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 1.2 | -0.2 | -2 | -0.5 | -16.7 | 20.0 | 25.0 | 0 | -0.04 | 30.0 | 30.0 |
C. Bott
|
- | 6 | 1.2 | 0.5 | 0.2 | 0.2 | 0.2 | 0.0 | 0.0 | 0.2 | 0.8 | -1 | -0.2 | -6.0 | 100.0 | 100.0 | 0 | -0.03 | 150.0 | 150.0 |
John Clark
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 17 | 0.9 | 6.1 | - | - | - | 0.45 | - | - |
Lewis Obiorah
|
C | 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