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UTEP

Also known as: UTEP Miners, UTEP
Program History

2015 Team Stats (4 games)

62.5
PPG
60.0
Opp
+2.5
Margin
46.1%
FG%
43.4%
3P%
63.8%
FT%
34.5
RPG
13.5
APG
14.5
TO
-
Est. poss./game
66.7
Adj PPG
61.8
Adj Opp PPG
#92
Scoring Rank

Model Outputs

2014-2015
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†’ 1152 (#71) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1121 (#77) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 1053 (#98) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +5.0 (#97) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +3.1 (#117) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.718 (#60) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.3 More โ†’ 0.723 (#94) AdjNet +8.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.4 More โ†’ 0.726 (#94) AdjNet +8.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.7 | AdjD 61.8 More โ†’ 0.610 (#92) AdjO 66.7 | AdjD 61.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.2 | AdjD 63.4 More โ†’ 0.563 (#110) AdjO 66.2 | AdjD 63.4
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†’ 0.649 (#90) 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†’ 0.640 (#88) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 119 | GP 33 More โ†’ 1117 (#86) RD 119 | GP 33

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs Washington State Cougars W 65 - 52
2014-11-22 vs New Mexico State Aggies W 77 - 76
2014-11-27 vs Princeton Tigers W 62 - 56
2014-11-28 @ Xavier Musketeers W 77 - 73
2014-11-30 @ Washington Huskies L 65 - 68
2014-12-03 @ Colorado State Rams L 62 - 65
2014-12-06 @ New Mexico State Aggies L 64 - 71
2014-12-08 vs Incarnate Word Cardinals W 81 - 65
2014-12-16 vs SE Louisiana Lions W 80 - 62
2014-12-19 vs Arizona Wildcats L 55 - 60
2014-12-21 vs Alcorn State Braves W 78 - 45
2014-12-22 vs Kent State Golden Flashes W 78 - 75
2015-01-02 @ North Texas Mean Green W 85 - 71
2015-01-04 @ Rice Owls W 66 - 57
2015-01-08 vs Louisiana Tech Bulldogs L 45 - 58
2015-01-10 vs Southern Miss Golden Eagles W 74 - 40
2015-01-17 @ UTSA Roadrunners W 73 - 55
2015-01-22 @ Western Kentucky Hilltoppers L 66 - 71
2015-01-24 @ Marshall Thundering Herd L 71 - 78
2015-01-29 vs UAB Blazers W 71 - 69
2015-01-31 vs Middle Tennessee Blue Raiders W 83 - 70
2015-02-05 @ Florida Atlantic Owls W 63 - 56
2015-02-07 @ Florida International Panthers W 67 - 64
2015-02-12 vs Charlotte 49ers W 73 - 68
2015-02-14 vs Old Dominion Monarchs W 62 - 47
2015-02-21 vs UTSA Roadrunners W 69 - 62
2015-02-26 @ Louisiana Tech Bulldogs L 60 - 77
2015-02-28 @ Southern Miss Golden Eagles L 60 - 63
2015-03-05 vs North Texas Mean Green W 83 - 60
2015-03-07 vs Rice Owls W 68 - 65
2015-03-12 vs Florida International Panthers W 83 - 71
2015-03-13 vs Middle Tennessee Blue Raiders L 50 - 53
2015-03-17 @ Murray State Racers L 66 - 81

2015 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%
Vince Hunter Vince Hunter F 27 29.1 15.0 8.8 1.8 1.3 1.1 2.6 2.8 22.6 115 24 4.8 7.6 48.0 100.0 59.6 3.66 211.1 48.7
Earvin Morris Earvin Morris G 27 23.7 11.3 2.3 1.2 0.9 0.3 1.8 1.0 13.2 53 24 2.2 4.2 33.3 33.3 83.3 -0.32 438.1 40.7
Julian Washburn Julian Washburn F 27 34.3 10.7 4.0 2.5 0.9 0.6 1.3 1.8 15.6 55 24 2.3 3.1 40.8 50.0 58.3 -1.48 266.2 51.0
Cedrick Lang Cedrick Lang F 27 27.0 10.3 7.1 1.7 0.6 0.6 1.4 1.3 17.5 62 24 2.6 4.3 63.9 0 63.6 -0.07 274.1 63.9
C.J. Cooper C.J. Cooper G 27 30.9 8.5 1.7 3.1 0.6 0.0 1.2 1.3 11.3 42 24 1.8 2.6 40.0 29.2 50.0 -1.5 284.3 50.0
Omega Harris Omega Harris G 27 26.6 6.1 1.8 1.8 0.9 0.1 1.9 1.4 7.4 111 24 4.6 7.9 39.5 46.7 55.6 3.36 196.6 48.7
Matt Willms Matt Willms C 21 18.0 4.3 4.2 1.0 0.5 1.0 0.7 0.5 10.0 61 20 3.0 7.3 50.0 0 66.7 3.32 401.9 50.0
Hooper Vint Hooper Vint C 24 13.2 3.0 2.1 0.5 0.0 0.6 0.3 0.6 5.2 -13 21 -0.6 -2.2 66.7 60.0 0.0 -3.63 217.5 76.7
Lew Stallworth Lew Stallworth G 13 7.5 1.1 0.5 0.5 0.2 0.2 0.5 0.4 1.6 -6 15 -0.4 -2.2 0.0 0.0 0 -3.07 140.0 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