Texas A&M
2026 Team Stats (32 games)
86.7
PPG
78.8
Opp
+7.9
Margin
45.7%
FG%
36.2%
3P%
74.4%
FT%
37.4
RPG
17.8
APG
10.8
TO
85.0
Pace
88.5
AdjO
72.9
AdjD
#39
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 → | 1175 (#55) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1164 (#65) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1062 (#85) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.5 (#38) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +26.4 (#42) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.730 (#55) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.951 (#27) | NetEff +28.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.896 (#44) | AdjNet +18.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.899 (#44) | AdjNet +18.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.804 (#39) | AdjO 88.5 | AdjD 72.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.667 (#55) | AdjO 79.8 | AdjD 72.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.911 (#45) | 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 → | 0.879 (#49) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1233 (#48) | RD 108 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Agee
|
- | 32 | 26.4 | 14.6 | 8.6 | 2.3 | 0.9 | 0.8 | 1.4 | 9.8 | 16.0 | 147 | 7.0 | 12.8 | 50.2 | 26.5 | 75.6 | 0.99 | 59.9 | 53.7 |
R. Griffen
|
G | 30 | 25.9 | 11.1 | 2.8 | 2.5 | 1.6 | 0.4 | 1.4 | 8.0 | 8.9 | 158 | 8.3 | 15.7 | 44.8 | 40.3 | 78.9 | 1.28 | 60.9 | 56.9 |
Ruben Dominguez
|
- | 32 | 23.4 | 10.4 | 2.3 | 1.3 | 0.4 | 0.1 | 0.4 | 7.6 | 6.7 | 112 | 5.3 | 9.4 | 40.9 | 40.9 | 86.4 | 0.74 | 62.3 | 58.5 |
M. Hill
|
G | 32 | 22.4 | 10.1 | 3.1 | 1.6 | 0.9 | 0.1 | 1.1 | 7.5 | 7.2 | 123 | 5.9 | 12.9 | 48.5 | 23.7 | 74.3 | 1.05 | 56.6 | 51.5 |
M. Mgbako
|
- | 6 | 17.0 | 10.0 | 4.5 | 1.3 | 0.7 | 0.0 | 1.8 | 7.7 | 7.0 | 16 | 2.3 | 7.0 | 41.3 | 34.6 | 86.7 | -0.19 | 57.0 | 51.1 |
P. Isaacs
|
- | 31 | 22.4 | 10.0 | 2.5 | 2.7 | 0.7 | 0.1 | 1.6 | 7.4 | 7.1 | 49 | 2.5 | 5.3 | 42.8 | 39.7 | 75.7 | -0.46 | 59.3 | 55.5 |
Z. Clemence
|
F | 32 | 17.6 | 7.3 | 3.4 | 0.9 | 0.6 | 0.4 | 0.8 | 5.5 | 6.2 | 60 | 2.9 | 10.1 | 46.3 | 39.8 | 78.0 | 0.36 | 59.7 | 56.8 |
J. Lane
|
- | 31 | 19.0 | 6.2 | 1.7 | 3.0 | 0.6 | 0.0 | 1.0 | 4.9 | 5.5 | 150 | 7.1 | 15.0 | 39.9 | 31.7 | 87.8 | 1.07 | 54.7 | 48.4 |
A. Dibba
|
- | 32 | 15.9 | 5.8 | 2.8 | 0.8 | 1.2 | 0.1 | 0.5 | 5.2 | 5.0 | 108 | 5.1 | 16.1 | 43.4 | 37.0 | 59.1 | 0.91 | 50.4 | 48.5 |
J. Holloway
|
G | 32 | 13.6 | 4.8 | 1.7 | 1.8 | 0.8 | 0.1 | 1.3 | 3.3 | 4.7 | 124 | 5.9 | 19.6 | 51.4 | 40.0 | 70.0 | 1.06 | 61.0 | 57.1 |
J. Vinson
|
- | 28 | 6.8 | 3.5 | 2.4 | 0.4 | 0.1 | 0.6 | 0.5 | 2.7 | 3.8 | 30 | 1.5 | 9.5 | 52.6 | 17.6 | 57.7 | -0.01 | 56.0 | 54.6 |
F. Federiko
|
- | 30 | 8.7 | 1.8 | 1.9 | 0.5 | 0.4 | 0.4 | 0.2 | 1.1 | 3.7 | 97 | 4.8 | 22.6 | 57.6 | 0 | 46.9 | 0.8 | 56.3 | 57.6 |
N. Shelby
|
- | 9 | 2.4 | 1.1 | 0.2 | 0.0 | 0.1 | 0.0 | 0.0 | 1.1 | 0.3 | 14 | 1.6 | 30.7 | 20.0 | 20.0 | 100.0 | 0.12 | 42.5 | 30.0 |
J. Green
|
- | 8 | 4.0 | 0.9 | 0.1 | 0.5 | 0.2 | 0.0 | 0.2 | 0.6 | 0.9 | 25 | 1.2 | 2.5 | 20.0 | 33.3 | 100.0 | 0.36 | 51.8 | 30.0 |
C. McDermott
|
- | 16 | 2.6 | 0.8 | 0.8 | 0.2 | 0.0 | 0.1 | 0.1 | 0.5 | 1.2 | 6 | 0.5 | 7.4 | 75.0 | 0.0 | 0.0 | -0.04 | 61.5 | 75.0 |
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