UTSA Roadrunners
2022 Team Stats (2 games)
61.0
PPG
72.8
Opp
-7.2
Margin
37.8%
FG%
21.3%
3P%
64.0%
FT%
37.0
RPG
12.0
APG
14.5
TO
83.5
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 → | 891 (#684) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1006 (#322) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.4 (#316) | HCA +2.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.129 (#259) | NetEff -15.3 |
2022 Schedule & Results
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. Jefferson
|
G | 1 | 29.0 | 18.0 | 6.0 | 4.0 | 0.0 | 0.0 | 0.0 | 13.0 | 15.0 | 93 | 7.8 | 9.2 | 46.2 | 40.0 | 100.0 | 1.69 | 61.0 | 53.8 |
J. Germany
|
- | 28 | 27.8 | 15.5 | 7.2 | 0.6 | 0.5 | 0.9 | 1.9 | 2.8 | 20.0 | - | - | - | 53.8 | 0.0 | 62.5 | - | 236.2 | 53.8 |
J. Ivy-Curry
|
- | 17 | 27.6 | 12.8 | 2.2 | 2.4 | 0.9 | 0.1 | 2.6 | 3.4 | 12.4 | 0 | 0.0 | 0.0 | 42.1 | 39.3 | 88.9 | 0.03 | 178.0 | 51.8 |
D. Deing
|
G | 3 | 26.3 | 8.3 | 5.3 | 2.3 | 0.3 | 0.3 | 2.7 | 13.0 | 1.0 | - | - | - | 23.1 | 17.2 | 40.0 | - | 30.3 | 29.5 |
C. Alley Jr.
|
F | 1 | 31.0 | 7.0 | 5.0 | 2.0 | 1.0 | 1.0 | 0.0 | 11.0 | 5.0 | 61 | 5.5 | 7.2 | 27.3 | 25.0 | 0 | 1.33 | 31.8 | 31.8 |
I. Addo-Ankrah
|
G | 21 | 16.4 | 5.7 | 1.8 | 0.3 | 0.4 | 0.0 | 0.5 | 1.0 | 6.6 | - | - | - | 33.3 | 36.8 | 100.0 | - | 256.5 | 50.0 |
E. Czumbel
|
- | 28 | 27.5 | 5.2 | 2.5 | 3.1 | 0.4 | 0.2 | 1.2 | 1.0 | 9.0 | - | - | - | 37.9 | 7.7 | 66.7 | - | 229.1 | 39.7 |
L. Bofinger
|
- | 28 | 15.4 | 3.5 | 3.7 | 0.6 | 0.4 | 0.4 | 0.8 | 0.7 | 7.1 | - | - | - | 57.9 | 0 | 28.6 | - | 224.2 | 57.9 |
C. Tucker
|
- | 21 | 14.4 | 3.1 | 1.3 | 0.9 | 0.4 | 0.2 | 1.1 | 0.6 | 4.2 | - | - | - | 50.0 | 0.0 | 60.0 | - | 201.2 | 50.0 |
A. Aleu
|
- | 6 | 14.3 | 3.0 | 1.8 | 0.7 | 0.5 | 0.0 | 0.8 | 0.0 | 5.2 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Farmer
|
F | 21 | 8.7 | 2.1 | 2.0 | 0.1 | 0.2 | 0.1 | 0.7 | 0.7 | 3.0 | - | - | - | 33.3 | 0.0 | 50.0 | - | 134.2 | 33.3 |
L. Sabally
|
F | 18 | 12.2 | 2.1 | 2.5 | 0.2 | 0.1 | 0.1 | 0.6 | 0.5 | 3.9 | -53 | -4.1 | -5.9 | 55.6 | 33.3 | 50.0 | 0.18 | 192.3 | 61.1 |
D. McNeill
|
- | 2 | 25.5 | 2.0 | 2.0 | 1.5 | 1.0 | 0.0 | 2.0 | 4.0 | 0.5 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
P. Ford
|
F | 3 | 16.7 | 2.0 | 3.7 | 0.7 | 0.3 | 0.0 | 1.0 | 1.7 | 4.0 | - | - | - | 40.0 | 0.0 | 66.7 | - | 47.5 | 40.0 |
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