Utah Valley
2026 Team Stats (31 games)
80.0
PPG
68.2
Opp
+11.8
Margin
49.9%
FG%
34.6%
3P%
69.7%
FT%
36.5
RPG
18.5
APG
13.9
TO
81.8
Pace
78.4
AdjO
72.8
AdjD
#101
Rank
Model Outputs
2025-2026
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 → | 1096 (#100) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1149 (#75) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1134 (#32) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 876 (#686) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.1 (#100) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +18.9 (#95) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.9 (#391) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.744 (#49) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.109 (#305) | NetEff -19.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.742 (#95) | AdjNet +9.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.744 (#96) | AdjNet +9.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.625 (#101) | AdjO 78.4 | AdjD 72.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.667 (#56) | AdjO 77.0 | AdjD 69.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.385 (#640) | AdjO 65.7 | AdjD 70.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.877 (#63) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.368 (#423) | 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 → | 0.854 (#59) | 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 → | 0.343 (#460) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1249 (#44) | RD 117 | GP 31 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 753 (#689) | RD 138 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jackson Holcombe
|
G | 31 | 29.7 | 15.7 | 6.9 | 3.6 | 2.3 | 1.3 | 2.4 | 11.1 | 16.2 | 158 | 7.2 | 11.1 | 52.3 | 15.6 | 69.3 | 1.75 | 57.8 | 53.1 |
T. Leonhardt
|
G | 31 | 34.2 | 12.2 | 5.2 | 5.9 | 2.1 | 0.6 | 2.7 | 8.8 | 14.4 | 217 | 9.4 | 18.3 | 50.5 | 38.0 | 75.0 | 0.05 | 61.2 | 58.1 |
T. Hendricks
|
- | 25 | 29.2 | 12.1 | 4.1 | 1.7 | 1.1 | 0.8 | 1.3 | 8.5 | 10.0 | 126 | 5.7 | 8.9 | 50.2 | 46.0 | 78.0 | 1.26 | 65.6 | 63.6 |
Isaac Davis
|
- | 31 | 18.8 | 10.4 | 3.6 | 1.4 | 0.9 | 0.3 | 1.7 | 6.7 | 8.2 | 210 | 9.5 | 25.2 | 61.8 | 35.0 | 67.0 | 1.06 | 65.5 | 63.5 |
Isaac Hawkins
|
- | 31 | 14.5 | 7.5 | 3.9 | 0.7 | 0.5 | 1.5 | 0.8 | 4.4 | 8.9 | 1 | 0.0 | 0.2 | 66.7 | 30.0 | 75.4 | 0.22 | 70.9 | 67.8 |
H. Welling
|
F | 31 | 16.4 | 7.3 | 3.1 | 1.0 | 0.4 | 0.6 | 1.1 | 6.6 | 4.6 | -28 | -1.2 | -3.1 | 42.2 | 17.2 | 67.2 | -0.28 | 48.6 | 44.6 |
B. Housley
|
- | 27 | 25.9 | 5.3 | 2.7 | 2.7 | 1.3 | 0.1 | 1.7 | 4.2 | 6.2 | 143 | 8.9 | 16.8 | 40.7 | 28.6 | 60.0 | 0.78 | 50.9 | 46.9 |
S. Weatherspoon IV
|
- | 29 | 16.4 | 5.0 | 1.9 | 0.5 | 0.6 | 0.1 | 0.7 | 4.0 | 3.4 | 55 | 2.6 | 10.0 | 40.5 | 38.2 | 72.7 | 0.09 | 57.3 | 55.2 |
N. Taitz
|
G | 27 | 19.0 | 4.8 | 1.5 | 1.1 | 0.6 | 0.1 | 0.9 | 4.3 | 2.9 | 163 | 7.4 | 16.3 | 35.7 | 34.2 | 70.0 | 1.04 | 50.3 | 47.0 |
Tyler Weaver
|
- | 21 | 7.8 | 2.8 | 1.5 | 0.5 | 0.4 | 0.2 | 0.6 | 2.4 | 2.4 | 42 | 3.5 | 29.1 | 39.2 | 34.5 | 75.0 | 0.17 | 52.4 | 49.0 |
J. Karram
|
- | 9 | 4.7 | 1.9 | 1.8 | 0.3 | 0.0 | 0.3 | 0.2 | 1.4 | 2.7 | 17 | 2.4 | 23.9 | 61.5 | 0.0 | 50.0 | 0.04 | 61.2 | 61.5 |
Tyler Medaris
|
- | 15 | 5.4 | 1.7 | 2.1 | 0.4 | 0.1 | 0.1 | 0.2 | 1.1 | 3.1 | 45 | 4.1 | 37.5 | 52.9 | 0.0 | 57.1 | 0.49 | 56.1 | 52.9 |
Aj Riggs
|
- | 11 | 3.4 | 1.4 | 0.4 | 0.4 | 0.2 | 0.0 | 0.2 | 1.2 | 0.9 | 20 | 2.2 | 30.2 | 46.2 | 33.3 | 0 | 0.26 | 57.7 | 57.7 |
AJ Dixon
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jaxson Roberts
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 38 | 2.5 | 14.8 | - | - | - | 0.09 | - | - |
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