🐻⬇️🏀

Utah Utes

Also known as: Utah Utes
Program History

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
75.7
Pace

Model Outputs

2016-2017
Catalog

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 → 1380 (#97) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1432 (#73) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +30.7 (#88) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.420 (#42) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -3.2 More → 0.415 (#42) NetEff -3.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.5 More → 0.771 (#35) AdjNet +10.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.7 More → 0.774 (#35) AdjNet +10.7

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-12 vs Northwest Nazarene Nw Nazarene W 81 - 37
2016-11-28 vs Butler Bulldogs L 59 - 68
2016-12-10 @ Xavier Musketeers L 69 - 77
2016-12-25 vs Stephen F. Austin Lumberjacks W 74 - 66
2017-01-05 @ Arizona Wildcats L 56 - 66
2017-01-12 vs USC Trojans W 86 - 64
2017-01-14 vs UCLA Bruins L 82 - 83
2017-01-26 vs Oregon Ducks L 67 - 73
2017-03-09 vs California Golden Bears L 75 - 78

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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
K. Kuzma K. Kuzma - 8 33.2 16.4 9.4 2.0 0.6 0.0 1.1 13.8 13.5 - - - 47.3 28.6 70.8 - 54.3 51.8
D. Collette D. Collette F 6 26.2 12.8 3.8 1.0 0.5 0.3 1.3 8.0 9.2 - - - 68.8 100.0 66.7 - 70.5 69.8
L. Bonam L. Bonam G 9 30.4 12.1 2.2 2.4 1.1 0.1 3.3 8.6 6.1 - - - 53.2 20.7 72.4 - 60.7 57.1
D. Daniels D. Daniels G 9 29.6 11.8 4.2 2.9 1.1 0.6 2.2 8.1 10.2 - - - 57.5 46.2 76.2 - 64.4 61.6
S. Barefield S. Barefield G 6 24.8 10.5 2.2 1.2 0.5 0.0 1.5 8.3 4.5 - - - 40.0 32.1 77.8 - 54.4 49.0
J. Zamora J. Zamora G 9 23.7 6.7 1.9 1.4 0.6 0.1 1.7 5.0 4.0 - - - 48.9 50.0 66.7 - 63.0 62.2
T. Rawson T. Rawson F 9 17.6 3.8 2.6 0.8 0.8 0.6 1.1 3.1 4.2 - - - 35.7 22.2 90.9 - 51.8 42.9
G. Bealer G. Bealer G 6 11.8 3.2 2.0 0.5 0.0 0.2 0.5 2.8 2.5 - - - 41.2 30.0 100.0 - 53.1 50.0
J. Johnson J. Johnson C 9 11.4 3.0 3.2 0.0 0.2 0.6 0.9 1.8 4.3 34 3.8 9.0 56.2 0 50.0 1.19 56.4 56.2
P. Van Dyke P. Van Dyke - 9 12.4 1.8 1.2 0.6 0.2 0.0 0.3 2.8 0.7 - - - 24.0 16.7 50.0 - 30.9 30.0
J. Connor J. Connor G 2 7.0 1.5 0.5 0.0 0.0 0.0 0.0 2.0 0.0 - - - 25.0 25.0 0.0 - 33.8 37.5
M. Reininger M. Reininger F 2 3.5 1.0 0.5 0.0 0.0 0.5 0.5 0.5 1.0 - - - 100.0 0 0 - 100.0 100.0
J. Jokl J. Jokl F 2 5.0 1.0 1.0 0.5 0.0 0.5 1.0 1.0 1.0 - - - 50.0 0 0 - 50.0 50.0

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