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UTEP

Also known as: UTEP Miners, UTEP
Program History

2013 Team Stats (3 games)

55.0
PPG
63.3
Opp
-8.3
Margin
39.7%
FG%
29.2%
3P%
70.9%
FT%
24.0
RPG
8.7
APG
13.7
TO
-
Est. poss./game
62.4
Adj PPG
58.4
Adj Opp PPG
#111
Scoring Rank

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 โ†’ 1170 (#80) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1088 (#110) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 1039 (#111) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ +4.3 (#110) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ +4.5 (#101) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.602 (#118) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.2 More โ†’ 0.697 (#106) AdjNet +7.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.3 More โ†’ 0.698 (#107) AdjNet +7.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.4 | AdjD 58.4 More โ†’ 0.588 (#111) AdjO 62.4 | AdjD 58.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.8 | AdjD 58.6 More โ†’ 0.574 (#102) AdjO 61.8 | AdjD 58.6
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 โ†’ 0.638 (#94) 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 โ†’ 0.635 (#93) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 128 | GP 32 More โ†’ 1110 (#94) RD 128 | GP 32

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs Oral Roberts Golden Eagles W 69 - 49
2012-11-15 @ Arizona Wildcats L 51 - 72
2012-11-22 @ Oklahoma Sooners L 61 - 68
2012-11-23 @ Clemson Tigers L 48 - 69
2012-11-25 vs Vanderbilt Commodores L 49 - 73
2012-11-28 vs New Mexico State Aggies W 55 - 54
2012-12-08 vs Idaho Vandals W 64 - 60
2012-12-17 vs UNLV Rebels L 60 - 62
2012-12-19 vs Oregon Ducks W 91 - 84
2012-12-22 vs Arkansas-Pine Bluff Golden Lions W 83 - 61
2012-12-23 vs Nebraska Cornhuskers W 68 - 52
2013-01-02 @ Colorado State Rams L 58 - 62
2013-01-09 @ Tulane Green Wave W 66 - 57
2013-01-12 vs Marshall Thundering Herd W 74 - 63
2013-01-14 vs Houston Christian Huskies W 72 - 44
2013-01-16 @ Tulsa Golden Hurricane L 42 - 45
2013-01-19 vs SMU Mustangs W 63 - 54
2013-01-26 @ East Carolina Pirates W 68 - 67
2013-01-30 @ UAB Blazers L 72 - 78
2013-02-02 vs Tulane Green Wave W 62 - 50
2013-02-06 vs Rice Owls W 65 - 53
2013-02-09 vs Tulsa Golden Hurricane L 70 - 74
2013-02-13 @ Houston Cougars L 61 - 79
2013-02-16 vs UCF Knights W 73 - 58
2013-02-20 @ Southern Miss Golden Eagles L 39 - 45
2013-02-23 @ New Mexico State Aggies L 51 - 55
2013-02-27 vs Houston Cougars W 63 - 53
2013-03-02 @ Rice Owls W 67 - 56
2013-03-05 vs Memphis Tigers L 54 - 56
2013-03-09 @ SMU Mustangs W 76 - 63
2013-03-14 vs Houston Cougars W 80 - 69
2013-03-15 @ Southern Miss Golden Eagles L 67 - 85

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Julian Washburn Julian Washburn F 32 34.6 12.2 4.2 1.7 0.9 0.3 1.8 2.8 14.7 68 29 2.3 3.0 46.1 18.2 79.4 1.74 188.5 47.2
John Bohannon John Bohannon C 29 24.8 10.2 6.3 1.4 0.7 1.7 1.9 1.5 17.0 86 27 3.2 5.6 50.0 50.0 50.0 1.99 276.6 51.1
Konner Tucker Konner Tucker G 25 30.5 10.1 1.7 1.4 0.4 0.0 1.7 1.1 10.8 105 22 4.8 6.9 28.6 31.8 100.0 1.22 438.0 41.1
M. Moore M. Moore G 25 24.4 8.6 5.2 2.0 1.4 0.8 2.3 0.6 15.2 76 22 3.5 6.3 46.7 14.3 100.0 1.02 612.2 50.0
Jacques Streeter Jacques Streeter G 32 34.3 7.9 2.0 5.3 0.9 0.0 1.7 1.3 13.1 80 29 2.8 3.6 44.2 31.6 68.8 1.81 251.8 51.2
Cedrick Lang Cedrick Lang F 32 21.3 5.7 5.3 0.4 0.4 0.4 1.0 0.8 10.4 -34 29 -1.2 -2.4 56.0 0 54.5 -3.53 305.0 56.0
C.J. Cooper C.J. Cooper G 32 15.8 5.1 0.8 1.0 0.2 0.0 0.8 0.8 5.5 -41 29 -1.4 -3.9 36.0 36.8 55.6 -3.14 281.4 50.0
Chris Washburn Chris Washburn F 32 14.9 4.4 2.9 0.6 0.8 0.5 1.5 0.8 6.8 9 29 0.3 1.0 48.0 0 75.0 0.83 196.9 48.0
Jalen Ragland Jalen Ragland F 24 13.7 3.8 0.9 0.4 0.1 0.1 0.2 1.2 3.8 -26 22 -1.2 -3.9 26.7 25.0 91.7 -1.71 130.4 36.7
Hooper Vint Hooper Vint C 12 5.8 1.6 0.8 0.0 0.1 0.4 0.3 0.2 2.3 -14 11 -1.3 -10.8 0.0 0 0 -2.59 475.0 0.0
Twymond Howard Twymond Howard F 11 6.1 1.5 1.2 0.2 0.2 0.1 0.1 0.0 3.0 -19 11 -1.7 -12.3 0 0 0 -3.21 0 0
M. Moore M. Moore F 14 5.3 1.4 0.9 0.1 0.1 0.1 0.5 0.1 1.9 -10 14 -0.7 -5.9 50.0 0 0 -2.59 500.0 50.0

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