UTSA Roadrunners
2022 Team Stats (5 games)
50.8
PPG
58.2
Opp
-7.4
Margin
33.6%
FG%
19.4%
3P%
60.0%
FT%
41.2
RPG
8.6
APG
16.6
TO
82.4
Pace
Model Outputs
2021-2022
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 → | 1094 (#129) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1138 (#116) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +24.9 (#111) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.633 (#139) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-12-13 | vs | Dartmouth Big Green | W | 49 - 39 |
| 2021-12-20 | @ | Texas A&M Aggies | L | 51 - 77 |
| 2022-03-03 | @ | North Texas Mean Green | L | 51 - 53 |
| 2022-03-08 | @ | UTEP Miners | W | 58 - 57 |
| 2022-03-09 | @ | Old Dominion Monarchs | L | 45 - 65 |
2022 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. Pimentel
|
G | 5 | 33.8 | 9.0 | 4.0 | 3.0 | 3.4 | 0.2 | 4.2 | 11.0 | 4.4 | - | - | - | 30.9 | 28.6 | 53.8 | 0.13 | 37.1 | 34.5 |
L. Hunter
|
G | 1 | 22.0 | 9.0 | 3.0 | 1.0 | 0.0 | 0.0 | 1.0 | 6.0 | 6.0 | - | - | - | 50.0 | 0 | 75.0 | 0.34 | 58.0 | 50.0 |
C. Mass
|
G | 4 | 25.0 | 9.0 | 3.5 | 1.0 | 1.2 | 0.0 | 1.2 | 10.0 | 3.5 | - | - | - | 35.0 | 31.2 | 75.0 | 0.38 | 43.1 | 41.2 |
E. Coleman
|
F | 5 | 28.4 | 8.0 | 5.6 | 0.6 | 0.0 | 1.6 | 1.4 | 8.8 | 5.6 | - | - | - | 36.4 | 0.0 | 57.1 | 0.46 | 39.9 | 36.4 |
L. Johnson
|
G | 5 | 27.4 | 7.6 | 4.2 | 1.0 | 0.4 | 0.0 | 2.2 | 8.0 | 3.0 | -25 | -25.0 | -100.0 | 32.5 | 28.6 | 83.3 | -0.56 | 42.0 | 35.0 |
Q. Ulabo
|
G | 5 | 24.6 | 6.6 | 6.2 | 0.4 | 1.6 | 0.6 | 2.4 | 7.4 | 5.6 | -120 | -6.3 | -71.2 | 35.1 | 0.0 | 70.0 | -0.27 | 39.9 | 35.1 |
D. Nwakamma
|
G | 2 | 16.0 | 4.5 | 2.0 | 0.0 | 0.5 | 0.0 | 1.0 | 6.5 | -0.5 | - | - | - | 30.8 | 14.3 | 0 | 0.66 | 34.6 | 34.6 |
E. Blanding
|
C | 5 | 11.0 | 2.4 | 3.8 | 0.2 | 0.0 | 0.4 | 0.8 | 2.4 | 3.6 | - | - | - | 50.0 | 0 | 0.0 | 0.25 | 46.6 | 50.0 |
Ce. Mass
|
G | 3 | 6.3 | 2.0 | 0.7 | 0.3 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 | - | - | - | 50.0 | 0.0 | 0.0 | 0.38 | 46.6 | 50.0 |
Y. Valcheva
|
F | 5 | 9.2 | 2.0 | 2.2 | 0.0 | 0.2 | 0.2 | 0.0 | 3.0 | 1.6 | - | - | - | 33.3 | 0.0 | 0.0 | 0.63 | 29.8 | 33.3 |
N. Ciss
|
F | 1 | 5.0 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 | - | - | - | 33.3 | 0 | 0 | -0.15 | 33.3 | 33.3 |
C. Govan
|
G | 5 | 18.0 | 1.6 | 1.4 | 1.4 | 0.2 | 0.0 | 1.4 | 2.4 | 0.8 | - | - | - | 25.0 | 0.0 | 50.0 | 0.37 | 29.1 | 25.0 |
H. Atwood
|
G | 4 | 19.8 | 1.5 | 3.2 | 1.0 | 0.2 | 0.0 | 1.2 | 3.2 | 1.5 | - | - | - | 15.4 | 0.0 | 100.0 | -0.06 | 21.6 | 15.4 |
K. Harrell
|
F | 1 | 6.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | -0.06 | 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