Utah Utes
2017 Team Stats (9 games)
72.1
PPG
68.0
Opp
+4.1
Margin
49.4%
FG%
30.6%
3P%
70.7%
FT%
33.2
RPG
11.8
APG
13.4
TO
-
Est. poss./game
Model Outputs
2016-2017
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 | 1380 (#97) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1432 (#73) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +30.7 (#88) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.420 (#42) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.415 (#42) | NetEff -3.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.771 (#35) | AdjNet +10.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.774 (#35) | AdjNet +10.7 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kyle Kuzma
|
- | 15 | 33.0 | 16.7 | 9.9 | 2.9 | 0.6 | 0.4 | 2.3 | 7.9 | 20.3 | - | - | - | - | 47.5 | 27.8 | 69.4 | - | 93.4 | 51.7 |
David Collette
|
F | 10 | 24.7 | 13.0 | 5.0 | 0.7 | 0.4 | 0.7 | 1.8 | 4.8 | 13.2 | - | - | - | - | 68.8 | 100.0 | 66.7 | - | 119.0 | 69.8 |
Lorenzo Bonam
|
G | 18 | 29.8 | 12.0 | 3.3 | 2.7 | 1.2 | 0.4 | 2.4 | 4.8 | 12.3 | - | - | - | - | 52.9 | 18.2 | 71.9 | - | 106.8 | 56.3 |
Devon Daniels
|
G | 18 | 26.9 | 10.3 | 4.7 | 2.7 | 0.8 | 0.6 | 2.1 | 4.7 | 12.3 | - | - | - | - | 57.1 | 42.9 | 78.6 | - | 96.0 | 60.7 |
Sedrick Barefield
|
G | 11 | 24.4 | 9.7 | 1.8 | 1.9 | 0.7 | 0.0 | 1.5 | 4.5 | 8.2 | - | - | - | - | 40.0 | 32.1 | 77.8 | - | 92.4 | 49.0 |
JoJo Zamora
|
G | 18 | 21.6 | 7.5 | 1.7 | 1.2 | 0.6 | 0.3 | 1.4 | 3.1 | 6.8 | - | - | - | - | 48.2 | 48.3 | 77.8 | - | 112.6 | 60.7 |
Tyler Rawson
|
F | 18 | 19.9 | 6.4 | 3.6 | 1.8 | 0.5 | 0.5 | 0.9 | 2.2 | 9.7 | - | - | - | - | 45.0 | 20.0 | 91.7 | - | 128.1 | 50.0 |
Jayce Johnson
|
C | 18 | 13.6 | 4.8 | 4.6 | 0.1 | 0.2 | 0.7 | 1.1 | 1.1 | 8.1 | - | - | - | - | 50.0 | 0 | 50.0 | - | 154.0 | 50.0 |
Gabe Bealer
|
G | 15 | 12.1 | 4.5 | 2.1 | 0.3 | 0.2 | 0.1 | 0.3 | 1.2 | 5.7 | - | - | - | - | 38.9 | 27.3 | 100.0 | - | 177.4 | 47.2 |
Parker Van Dyke
|
- | 18 | 15.9 | 4.0 | 1.8 | 0.9 | 0.4 | 0.1 | 0.3 | 1.8 | 5.1 | - | - | - | - | 27.3 | 27.3 | 50.0 | - | 103.6 | 36.4 |
Jake Connor
|
G | 7 | 6.7 | 1.1 | 0.3 | 0.4 | 0.3 | 0.0 | 0.3 | 0.6 | 1.3 | - | - | - | - | 25.0 | 25.0 | 0.0 | - | 90.1 | 37.5 |
Jakub Jokl
|
F | 6 | 4.5 | 0.8 | 1.3 | 0.2 | 0.0 | 0.7 | 0.5 | 0.3 | 2.2 | - | - | - | - | 50.0 | 0 | 0 | - | 125.0 | 50.0 |
Beau Rydalch
|
G | 3 | 4.0 | 0.7 | 1.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 1.3 | - | - | - | - | 0.0 | 0.0 | 100.0 | - | 53.2 | 0.0 |
Marc Reininger
|
F | 6 | 3.5 | 0.7 | 0.5 | 0.0 | 0.0 | 0.2 | 0.7 | 0.2 | 0.5 | - | - | - | - | 100.0 | 0 | 0 | - | 200.0 | 100.0 |
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