Utah Valley
2019 Team Stats (3 games)
72.3
PPG
69.0
Opp
+3.3
Margin
51.0%
FG%
33.3%
3P%
67.3%
FT%
35.3
RPG
10.3
APG
16.3
TO
-
Est. poss./game
73.7
Adj PPG
69.8
Adj Opp PPG
#115
Scoring Rank
Model Outputs
2018-2019
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 โ | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1144 (#71) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1088 (#55) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +3.8 (#121) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +3.7 (#108) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.696 (#62) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.618 (#128) | AdjNet +4.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.616 (#128) | AdjNet +4.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.587 (#115) | AdjO 73.7 | AdjD 69.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.591 (#75) | AdjO 73.4 | AdjD 69.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.643 (#88) | 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 โ | 0.644 (#80) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1161 (#63) | RD 110 | GP 33 |
2019 Schedule & Results
2019 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jake Toolson
|
G | 32 | 33.7 | 14.9 | 4.6 | 2.3 | 0.5 | 0.2 | 2.4 | 2.6 | 17.6 | 152 | 32 | 4.8 | 6.0 | 43.9 | 32.4 | 66.7 | -2.49 | 269.8 | 51.2 |
Conner Toolson
|
G | 29 | 32.0 | 13.2 | 3.1 | 1.0 | 1.5 | 0.2 | 1.1 | 3.6 | 14.4 | 207 | 29 | 7.1 | 9.1 | 49.5 | 37.3 | 72.7 | 3.53 | 177.1 | 58.7 |
Ben Nakwaasah
|
G | 32 | 24.9 | 8.8 | 2.7 | 3.1 | 0.7 | 0.1 | 2.1 | 2.0 | 11.2 | 131 | 32 | 4.1 | 6.7 | 34.9 | 36.1 | 73.3 | 0.33 | 201.1 | 45.2 |
Baylee Steele
|
C | 32 | 20.4 | 8.7 | 7.3 | 0.6 | 0.3 | 0.4 | 1.3 | 1.4 | 14.6 | 42 | 32 | 1.3 | 2.7 | 53.3 | 0.0 | 66.7 | -3.78 | 239.7 | 53.3 |
Isaiah White
|
G | 30 | 25.1 | 8.6 | 4.7 | 0.9 | 0.8 | 0.6 | 1.5 | 1.7 | 12.4 | 185 | 30 | 6.2 | 10.1 | 35.3 | 23.5 | 69.2 | 3.39 | 205.8 | 39.2 |
Connor MacDougall
|
F | 20 | 15.1 | 8.2 | 2.6 | 0.9 | 0.2 | 0.3 | 1.1 | 1.1 | 10.0 | 67 | 17 | 3.9 | 10.3 | 68.2 | 0 | 72.2 | -1.21 | 272.4 | 68.2 |
TJ Washington
|
G | 32 | 23.4 | 7.8 | 2.1 | 3.7 | 1.0 | 0.0 | 3.0 | 1.7 | 9.9 | 200 | 31 | 6.5 | 11.6 | 42.6 | 31.2 | 52.6 | 3.43 | 199.6 | 47.2 |
Richard Harward
|
C | 26 | 14.0 | 6.6 | 4.7 | 0.5 | 0.1 | 0.7 | 0.5 | 1.2 | 10.9 | 112 | 24 | 4.7 | 12.6 | 70.0 | 0 | 62.5 | 2.81 | 232.2 | 70.0 |
Wyatt Lowell
|
- | 32 | 15.4 | 4.4 | 2.5 | 0.5 | 0.5 | 0.2 | 0.9 | 1.1 | 6.1 | 67 | 31 | 2.2 | 6.0 | 37.1 | 37.0 | 50.0 | -0.52 | 195.1 | 51.4 |
Hayden Schenck
|
G | 11 | 14.5 | 2.9 | 1.9 | 1.0 | 0.9 | 0.1 | 0.6 | 0.3 | 5.9 | 40 | 12 | 3.3 | 10.3 | 66.7 | 0.0 | 100.0 | -0.28 | 283.7 | 66.7 |
Drew Cotton
|
G | 20 | 5.3 | 0.1 | 0.4 | 0.4 | 0.2 | 0.0 | 0.1 | 0.2 | 0.8 | -36 | 19 | -1.9 | -17.3 | 0.0 | 0.0 | 0 | -5.32 | 20.0 | 0.0 |
Cache Fields
|
- | 9 | 2.1 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | -0.4 | - | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 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