Utah Valley Wolverines
2026 Team Stats (28 games)
63.5
PPG
62.1
Opp
+1.4
Margin
39.1%
FG%
32.4%
3P%
71.8%
FT%
30.8
RPG
13.8
APG
17.5
TO
82.0
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1005 (#177) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +6.2 (#245) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.471 (#277) | AdjO 59.7 | AdjD 61.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.667 (#215) | 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 → | 0.629 (#213) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1041 (#185) | RD 115 | GP 28 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Barcello
|
G | 25 | 34.2 | 13.4 | 2.3 | 1.0 | 2.4 | 0.2 | 1.2 | 9.4 | 8.9 | -13 | -0.7 | -0.8 | 40.6 | 39.6 | 84.6 | -0.77 | 59.9 | 52.8 |
C. Blackham
|
G | 28 | 32.1 | 10.3 | 2.6 | 4.1 | 2.8 | 0.1 | 3.1 | 8.5 | 8.2 | 12 | 0.6 | 0.8 | 38.8 | 34.4 | 72.7 | 0.45 | 51.3 | 45.6 |
K. Headrick
|
F | 28 | 25.8 | 9.2 | 5.5 | 1.4 | 1.3 | 0.4 | 1.9 | 7.9 | 8.1 | 1 | 0.0 | 0.1 | 42.3 | 30.8 | 70.2 | -1.7 | 50.0 | 45.0 |
T. Chaney
|
C | 18 | 19.1 | 7.8 | 2.9 | 0.9 | 1.1 | 0.2 | 2.7 | 6.9 | 3.3 | 31 | 1.8 | 2.6 | 44.8 | 0 | 77.8 | 0.89 | 49.7 | 44.8 |
K. Mabry
|
G | 27 | 28.0 | 6.9 | 2.2 | 1.5 | 2.0 | 0.1 | 2.3 | 7.4 | 3.1 | 7 | 0.3 | 0.5 | 31.7 | 26.4 | 69.8 | 2.15 | 41.8 | 37.4 |
H. Nelson
|
G | 27 | 26.0 | 6.1 | 6.2 | 2.5 | 2.4 | 1.1 | 2.6 | 6.1 | 9.7 | -29 | -1.6 | -2.4 | 37.6 | 23.5 | 60.7 | -0.66 | 43.8 | 40.0 |
G. Sorenson
|
C | 26 | 10.9 | 5.5 | 2.5 | 0.5 | 0.2 | 0.2 | 1.0 | 4.7 | 3.3 | 6 | 0.3 | 1.5 | 44.6 | 0 | 72.0 | -1.28 | 50.3 | 44.6 |
S. Gibb
|
G | 26 | 23.8 | 5.0 | 2.8 | 1.3 | 2.0 | 0.5 | 1.2 | 5.2 | 5.2 | 46 | 2.2 | 3.3 | 34.3 | 30.8 | 59.5 | 1.03 | 43.3 | 40.3 |
KJ Carlyle
|
G | 10 | 6.2 | 2.7 | 0.6 | 0.1 | 0.2 | 0.6 | 0.4 | 2.6 | 1.2 | 25 | 2.8 | 31.3 | 38.5 | 50.0 | 75.0 | 0.42 | 48.6 | 46.2 |
N. Tanuvasa
|
G | 25 | 9.2 | 1.9 | 0.9 | 1.0 | 1.3 | 0.1 | 1.3 | 1.9 | 2.2 | 18 | 0.9 | 2.9 | 38.3 | 21.1 | 57.1 | -1.63 | 45.1 | 42.6 |
A. Shreeve
|
G | 16 | 4.9 | 1.9 | 0.6 | 0.3 | 0.6 | 0.0 | 0.2 | 1.4 | 1.8 | 16 | 1.2 | 12.2 | 52.2 | 0.0 | 70.0 | 0.65 | 56.6 | 52.2 |
E. Leeson
|
F | 9 | 4.4 | 1.7 | 1.0 | 0.2 | 0.4 | 0.0 | 0.3 | 2.1 | 0.9 | 3 | 1.0 | 15.0 | 36.8 | 0 | 50.0 | 0.31 | 37.7 | 36.8 |
G. Goo
|
F | 9 | 4.3 | 1.0 | 0.7 | 0.2 | 0.8 | 0.0 | 0.4 | 1.6 | 0.7 | 19 | 2.7 | 41.2 | 28.6 | 16.7 | 0.0 | -1.04 | 31.2 | 32.1 |
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