Utah Valley Wolverines
2022 Team Stats (3 games)
59.0
PPG
63.3
Opp
-4.3
Margin
43.0%
FG%
33.3%
3P%
83.8%
FT%
37.7
RPG
12.0
APG
16.0
TO
71.8
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 → | 928 (#306) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1014 (#226) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.1 (#194) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.608 (#146) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-03-03 | vs | Grand Canyon Lopes | L | 63 - 65 |
| 2022-03-10 | vs | UT Rio Grande Valley Vaqueros | W | 72 - 57 |
| 2022-03-11 | @ | Stephen F. Austin Ladyjacks | L | 42 - 68 |
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. Williams
|
C | 3 | 33.7 | 16.7 | 14.7 | 1.7 | 0.0 | 0.0 | 3.0 | 11.7 | 18.3 | 47 | 1.9 | 12.3 | 57.1 | 0.0 | 83.3 | 0.92 | 62.1 | 57.1 |
M. Carvalho
|
G | 3 | 39.0 | 14.0 | 5.0 | 1.7 | 1.0 | 0.0 | 3.0 | 13.0 | 5.7 | - | - | - | 35.9 | 47.4 | 100.0 | 0.91 | 51.0 | 47.4 |
M. Jensen
|
C | 3 | 21.0 | 9.7 | 5.3 | 2.3 | 1.0 | 0.3 | 1.3 | 7.3 | 10.0 | - | - | - | 59.1 | 0 | 60.0 | 1.1 | 59.9 | 59.1 |
M. Grange
|
G | 3 | 32.3 | 8.3 | 2.3 | 3.0 | 0.0 | 0.3 | 2.0 | 6.3 | 5.7 | -58 | -2.9 | -27.5 | 36.8 | 25.0 | 83.3 | -0.03 | 51.5 | 39.5 |
K. Anderson
|
G | 3 | 30.0 | 4.7 | 3.3 | 1.0 | 0.0 | 0.3 | 2.0 | 4.0 | 3.3 | 8 | 0.5 | 5.3 | 41.7 | 40.0 | 0 | 0.35 | 58.3 | 58.3 |
E. Tafisi
|
G | 3 | 9.3 | 1.7 | 0.0 | 1.0 | 0.3 | 0.0 | 1.3 | 1.7 | 0.0 | 6 | 0.3 | 1.4 | 40.0 | 0.0 | 100.0 | 0.68 | 46.0 | 40.0 |
A. Blackham
|
G | 3 | 27.0 | 1.7 | 3.3 | 1.3 | 0.0 | 0.0 | 1.7 | 4.7 | 0.0 | - | - | - | 14.3 | 10.0 | 0 | 0.87 | 17.9 | 17.9 |
E. Martin
|
G | 3 | 4.0 | 1.7 | 0.3 | 0.0 | 0.3 | 0.3 | 0.3 | 1.7 | 0.7 | 5 | 0.5 | 3.0 | 40.0 | 33.3 | 0 | 0.21 | 50.0 | 50.0 |
A. Conlee
|
G | 2 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 1.5 | -5 | -0.8 | -5.7 | 0 | 0 | 100.0 | 0.05 | 113.6 | 0 |
E. Tausinga
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 21 | 2.6 | 13.2 | 0 | 0 | 0 | 0.42 | 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