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Utah Utes

Also known as: Utah Utes
Program History

2013 Team Stats (4 games)

64.3
PPG
63.2
Opp
+1.0
Margin
46.8%
FG%
40.4%
3P%
79.2%
FT%
27.3
RPG
14.5
APG
13.5
TO
70.6
Pace

Model Outputs

2012-2013
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 → 1439 (#96) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1461 (#67) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 1026 (#136) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +31.6 (#73) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +15.3 (#84) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.376 (#76) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -2.3 More → 0.434 (#113) NetEff -2.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.3 More → 0.492 (#63) AdjNet -0.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.3 More → 0.492 (#63) AdjNet -0.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.2 | AdjD 60.5 More → 0.582 (#118) AdjO 64.2 | AdjD 60.5
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.780 (#96) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.754 (#98) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 127 | GP 33 More → 1117 (#111) RD 127 | GP 33

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs Willamette Bearcats W 104 - 47
2012-11-16 vs Sacramento State Hornets L 71 - 74
2012-11-21 vs Idaho State Bengals W 57 - 46
2012-11-23 vs Central Michigan Chippewas W 67 - 51
2012-11-24 vs Wright State Raiders W 66 - 54
2012-11-28 @ SMU Mustangs L 55 - 62
2012-11-30 @ Texas State Bobcats W 74 - 69
2012-12-05 vs Boise State Broncos W 76 - 55
2012-12-08 @ BYU Cougars L 58 - 61
2012-12-18 vs SMU Mustangs W 62 - 53
2012-12-21 vs Cal State Northridge Matadors L 71 - 76
2012-12-28 vs College of Idaho Yotes W 72 - 38
2013-01-02 @ Arizona State Sun Devils L 54 - 55
2013-01-05 @ Arizona Wildcats L 57 - 60
2013-01-10 vs UCLA Bruins L 53 - 57
2013-01-12 vs USC Trojans L 59 - 76
2013-01-16 @ Washington State Cougars L 65 - 75
2013-01-19 @ Washington Huskies W 74 - 65
2013-01-24 vs California Golden Bears L 57 - 62
2013-01-27 vs Stanford Cardinal L 56 - 87
2013-02-02 vs Colorado Buffaloes W 58 - 55
2013-02-06 @ Oregon State Beavers L 64 - 82
2013-02-09 @ Oregon Ducks L 64 - 73
2013-02-13 vs Arizona State Sun Devils W 60 - 55
2013-02-17 vs Arizona Wildcats L 64 - 68
2013-02-21 @ Colorado Buffaloes L 50 - 60
2013-02-28 @ California Golden Bears L 46 - 64
2013-03-03 @ Stanford Cardinal L 66 - 84
2013-03-07 vs Oregon State Beavers W 72 - 61
2013-03-09 vs Oregon Ducks W 72 - 62
2013-03-13 @ USC Trojans W 69 - 66
2013-03-14 @ California Golden Bears W 79 - 69
2013-03-15 @ Oregon Ducks L 45 - 64

2013 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%
J. DuBois J. DuBois C 32 30.5 12.4 2.7 3.1 0.8 0.0 2.2 3.3 13.5 -16 -0.5 -0.7 43.8 44.1 92.3 -0.04 155.6 51.0
J. Loveridge J. Loveridge F 32 31.7 12.1 7.0 2.0 0.8 0.4 2.0 3.6 16.7 -2 -0.1 -0.1 43.1 41.7 79.4 0.55 147.8 49.6
J. Washburn J. Washburn C 33 25.8 11.9 6.8 0.7 0.3 1.5 1.6 3.7 15.9 -15 -0.5 -0.7 51.6 100.0 87.0 0.66 148.7 52.5
B. Taylor B. Taylor G 29 20.8 6.9 1.6 2.0 0.9 0.0 1.7 2.2 7.4 -12 -0.9 -3.6 39.1 35.5 72.7 0.46 144.5 47.7
G. Dean G. Dean G 33 25.4 5.5 2.1 2.1 0.5 0.0 1.5 1.1 7.6 1 0.0 0.1 29.7 34.6 80.0 0.71 219.8 41.9
D. Bachynski D. Bachynski C 27 11.1 3.7 3.4 0.6 0.3 0.6 0.9 0.6 7.1 99 3.7 11.3 41.2 50.0 88.9 1.28 240.9 44.1
C. Martin C. Martin C 30 27.2 3.7 2.3 2.0 1.1 0.3 1.0 1.0 7.3 -21 -0.7 -1.2 36.7 30.0 64.3 0.39 154.9 46.7
J. Olsen J. Olsen C 23 9.0 3.4 2.5 0.3 0.1 0.3 0.5 1.1 5.0 -16 -0.7 -2.8 53.8 0 0 -0.01 150.0 53.8
J. Seymour J. Seymour G 25 11.6 3.3 2.0 0.8 0.3 0.0 1.0 0.5 5.0 11 0.4 1.2 53.8 40.0 100.0 0.39 299.0 61.5
D. Tucker D. Tucker F 25 11.1 3.1 1.2 0.4 0.4 0.2 0.3 0.7 4.4 20 0.8 2.6 47.1 50.0 0.0 0.53 223.6 64.7
A. Dotson A. Dotson C 10 17.3 2.7 1.3 1.8 0.6 0.2 1.8 1.2 3.6 47 4.3 13.5 25.0 0.0 33.3 0.67 101.4 25.0
R. Lenz R. Lenz F 32 8.6 2.2 1.6 0.4 0.3 0.4 0.5 0.4 4.1 25 0.8 3.4 25.0 25.0 50.0 0.25 279.5 29.2
A. Mortensen A. Mortensen - 4 1.8 0.8 0.5 0.2 0.0 0.0 0.0 0.0 1.5 - - - 0 0 0 - 0 0
X. Ricketts X. Ricketts F 5 2.0 0.4 0.6 0.0 0.0 0.0 0.0 0.0 1.0 49 9.8 45.8 0 0 0 0.69 0 0
R. Osterloh R. Osterloh C 6 1.7 0.3 0.3 0.0 0.0 0.0 0.0 0.2 0.5 - - - 0.0 0 0 - 100.0 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