Utah Valley Wolverines
2023 Team Stats (3 games)
56.3
PPG
72.7
Opp
-16.4
Margin
39.2%
FG%
33.9%
3P%
80.0%
FT%
30.0
RPG
15.0
APG
13.3
TO
72.3
Pace
Model Outputs
2022-2023
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 → | 923 (#311) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1010 (#231) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.7 (#198) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.608 (#147) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | @ | Portland State Vikings | L | 55 - 73 |
| 2023-02-06 | @ | Abilene Christian Wildcats | L | 46 - 73 |
| 2023-03-06 | @ | Utah Tech Trailblazers | L | 68 - 72 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Fano
|
F | 3 | 34.0 | 11.7 | 5.3 | 1.3 | 0.3 | 1.0 | 1.3 | 13.3 | 5.0 | - | - | - | 35.0 | 18.2 | 83.3 | - | 41.0 | 37.5 |
J. Vaifanua
|
F | 1 | 28.0 | 11.0 | 6.0 | 1.0 | 2.0 | 1.0 | 2.0 | 9.0 | 10.0 | - | - | - | 44.4 | 0 | 75.0 | - | 51.1 | 44.4 |
K. Byon
|
G | 3 | 30.0 | 9.7 | 2.0 | 3.3 | 0.7 | 0.0 | 1.7 | 10.0 | 4.0 | - | - | - | 33.3 | 33.3 | 100.0 | - | 44.4 | 38.3 |
A. Criddle
|
G | 3 | 33.3 | 8.7 | 1.7 | 3.3 | 1.7 | 0.3 | 2.3 | 8.0 | 5.3 | - | - | - | 41.7 | 40.0 | 0 | - | 54.2 | 54.2 |
E. Tafisi
|
G | 2 | 29.5 | 7.0 | 6.5 | 3.5 | 1.5 | 0.0 | 4.5 | 6.5 | 7.5 | - | - | - | 53.8 | 0.0 | 0.0 | - | 52.1 | 53.8 |
S. Gibb
|
G | 2 | 22.5 | 6.0 | 1.5 | 1.0 | 1.0 | 1.0 | 0.5 | 6.5 | 3.5 | - | - | - | 30.8 | 37.5 | 50.0 | - | 43.2 | 42.3 |
M. Afoa
|
F | 2 | 15.0 | 6.0 | 2.0 | 1.5 | 0.0 | 0.0 | 0.5 | 4.5 | 4.5 | - | - | - | 55.6 | 50.0 | 100.0 | - | 63.6 | 61.1 |
K. Mabry
|
G | 3 | 20.7 | 4.3 | 3.3 | 1.0 | 1.3 | 0.0 | 2.0 | 5.0 | 3.0 | - | - | - | 33.3 | 42.9 | 0 | - | 43.3 | 43.3 |
A. Conlee
|
G | 2 | 6.0 | 3.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 1.5 | 2.0 | - | - | - | 66.7 | 0.0 | 100.0 | - | 81.0 | 66.7 |
E. Tausinga
|
F | 3 | 15.0 | 1.7 | 3.3 | 1.0 | 0.7 | 0.0 | 0.0 | 1.7 | 5.0 | - | - | - | 40.0 | 100.0 | 0 | - | 50.0 | 50.0 |
T. Chaney
|
C | 3 | 9.0 | 1.7 | 1.7 | 0.3 | 0.0 | 0.0 | 0.0 | 1.7 | 2.0 | - | - | - | 40.0 | 0 | 50.0 | - | 42.5 | 40.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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