UTSA Roadrunners
2026 Team Stats (30 games)
69.5
PPG
80.7
Opp
-11.2
Margin
39.8%
FG%
29.7%
3P%
69.1%
FT%
36.2
RPG
10.9
APG
12.0
TO
82.1
Pace
68.7
AdjO
82.0
AdjD
#333
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 → | 704 (#350) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 718 (#351) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 855 (#694) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -14.1 (#336) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.8 (#330) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.083 (#359) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.044 (#340) | NetEff -28.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.116 (#331) | AdjNet -17.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.114 (#331) | AdjNet -17.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.230 (#333) | AdjO 68.7 | AdjD 82.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.312 (#691) | AdjO 70.0 | AdjD 78.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.419 (#390) | 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 → | 0.380 (#423) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 818 (#650) | RD 152 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Simpson
|
- | 30 | 34.6 | 16.2 | 4.1 | 2.4 | 0.9 | 0.1 | 1.8 | 14.2 | 7.7 | -152 | -6.3 | -10.3 | 39.5 | 30.1 | 75.0 | -0.56 | 50.4 | 45.8 |
A. Nunez
|
G | 22 | 28.5 | 9.8 | 2.1 | 2.8 | 1.1 | 0.0 | 2.0 | 10.5 | 3.4 | -204 | -10.2 | -17.8 | 30.4 | 25.3 | 88.5 | -1.2 | 42.0 | 35.2 |
Brent Moss
|
- | 29 | 26.8 | 9.6 | 4.7 | 0.9 | 1.4 | 0.3 | 1.0 | 9.6 | 6.4 | -184 | -9.2 | -18.6 | 35.8 | 32.7 | 74.4 | -0.67 | 47.1 | 44.8 |
Baboucarr Njie
|
- | 29 | 25.5 | 9.4 | 5.2 | 1.5 | 0.8 | 1.6 | 2.4 | 7.7 | 8.4 | -104 | -5.2 | -10.3 | 46.2 | 6.5 | 63.5 | -0.69 | 51.0 | 46.6 |
Dorian Hayes
|
- | 26 | 30.2 | 8.8 | 1.8 | 1.8 | 0.8 | 0.1 | 1.3 | 8.2 | 3.8 | -222 | -10.6 | -17.0 | 33.8 | 33.3 | 70.7 | -1.99 | 49.3 | 46.7 |
M. Rich
|
- | 11 | 15.1 | 8.1 | 2.4 | 0.6 | 0.5 | 0.5 | 1.5 | 5.7 | 4.9 | -26 | -2.4 | -8.2 | 55.6 | 18.2 | 70.8 | -0.61 | 60.5 | 57.1 |
Kaidon Rayfield
|
- | 26 | 20.0 | 6.7 | 4.8 | 0.8 | 0.7 | 0.7 | 0.9 | 6.1 | 6.7 | -90 | -4.5 | -11.5 | 39.0 | 22.7 | 56.9 | -0.78 | 45.9 | 42.1 |
D. Akitoby
|
- | 24 | 13.9 | 5.7 | 4.1 | 0.2 | 0.3 | 0.5 | 0.7 | 4.0 | 6.0 | -41 | -2.7 | -15.0 | 57.7 | 40.0 | 64.5 | -0.17 | 61.5 | 59.8 |
Matheo Coffi
|
- | 30 | 19.0 | 3.8 | 4.8 | 0.8 | 0.3 | 0.7 | 0.9 | 3.1 | 6.5 | -81 | -3.9 | -10.8 | 50.0 | 36.8 | 50.0 | -0.27 | 57.4 | 57.4 |
P. Spencer
|
- | 4 | 12.5 | 3.5 | 1.0 | 1.8 | 0.8 | 0.2 | 0.5 | 3.5 | 3.2 | 5 | 1.2 | 4.8 | 35.7 | 0.0 | 66.7 | -0.02 | 42.1 | 35.7 |
Lj Brown
|
- | 18 | 11.8 | 2.3 | 1.4 | 0.6 | 0.8 | 0.0 | 0.5 | 2.5 | 2.1 | -53 | -4.8 | -34.4 | 31.1 | 27.8 | 75.0 | -0.4 | 43.8 | 42.2 |
Mo Njie
|
- | 20 | 7.8 | 1.6 | 1.9 | 0.1 | 0.0 | 0.4 | 0.5 | 1.1 | 2.4 | -68 | -3.6 | -22.9 | 52.4 | 100.0 | 44.4 | -0.37 | 57.1 | 59.5 |
S. Borden
|
- | 3 | 6.7 | 0.0 | 2.0 | 0.0 | 0.0 | 0.7 | 0.7 | 0.7 | 1.3 | -50 | -16.7 | -269.7 | 0.0 | 0.0 | 0 | -0.18 | 0.0 | 0.0 |
V. Allette
|
PG | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jackson Fazande
|
- | 3 | 1.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | -0.3 | - | - | - | 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