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UTEP

Also known as: UTEP Miners, UTEP
Program History

2017 Team Stats (3 games)

76.7
PPG
70.7
Opp
+6.0
Margin
50.3%
FG%
42.5%
3P%
69.0%
FT%
41.0
RPG
18.0
APG
19.0
TO
-
Est. poss./game
66.6
Adj PPG
69.2
Adj Opp PPG
#207
Scoring Rank

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 โ†’ 1077 (#123) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 913 (#234) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1045 (#103) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -2.9 (#206) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +0.7 (#160) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.474 (#187) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.1 More โ†’ 0.412 (#196) AdjNet -3.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.1 More โ†’ 0.411 (#196) AdjNet -3.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.6 | AdjD 69.2 More โ†’ 0.441 (#207) AdjO 66.6 | AdjD 69.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.2 | AdjD 66.8 More โ†’ 0.532 (#142) AdjO 68.2 | AdjD 66.8
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†’ 0.511 (#163) 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†’ 0.529 (#151) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 130 | GP 31 More โ†’ 1020 (#153) RD 130 | GP 31

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-12 vs Louisiana Christian Wildcats W 88 - 54
2016-11-17 vs Wake Forest Demon Deacons L 81 - 103
2016-11-18 vs Western Michigan Broncos W 85 - 75
2016-11-20 @ Mississippi State Bulldogs L 54 - 61
2016-11-23 vs SE Louisiana Lions L 56 - 72
2016-12-03 vs Northwestern State Demons L 67 - 79
2016-12-07 @ New Mexico Lobos L 77 - 78
2016-12-13 vs New Mexico State Aggies L 68 - 79
2016-12-17 vs Northern Arizona Lumberjacks L 74 - 76
2016-12-21 vs Maryland Eastern Shore Hawks L 66 - 71
2016-12-22 vs UC Irvine Anteaters L 57 - 62
2016-12-30 @ New Mexico State Aggies L 70 - 79
2017-01-01 @ UTSA Roadrunners L 55 - 67
2017-01-05 @ Louisiana Tech Bulldogs L 44 - 64
2017-01-07 @ Southern Miss Golden Eagles L 65 - 73
2017-01-12 vs Florida International Panthers W 88 - 87
2017-01-14 vs Florida Atlantic Owls W 66 - 65
2017-01-21 vs UTSA Roadrunners W 59 - 39
2017-01-26 @ Western Kentucky Hilltoppers L 62 - 65
2017-01-28 @ Marshall Thundering Herd W 91 - 68
2017-02-02 vs UAB Blazers W 63 - 59
2017-02-04 vs Middle Tennessee Blue Raiders W 57 - 54
2017-02-09 vs Louisiana Tech Bulldogs L 61 - 62
2017-02-11 vs Southern Miss Golden Eagles W 80 - 50
2017-02-16 @ North Texas Mean Green W 77 - 71
2017-02-18 @ Rice Owls W 79 - 71
2017-02-23 @ Florida Atlantic Owls W 60 - 55
2017-02-25 @ Florida International Panthers W 90 - 76
2017-03-02 vs Old Dominion Monarchs L 61 - 62
2017-03-04 vs Charlotte 49ers W 74 - 67
2017-03-09 vs Rice Owls W 86 - 76
2017-03-10 @ Middle Tennessee Blue Raiders L 56 - 82

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%
Omega Harris Omega Harris G 11 35.1 16.1 3.0 2.2 0.8 0.1 3.1 4.7 14.4 59 20 3.0 3.5 55.8 55.0 88.2 3.69 148.8 66.3
Dominic Artis Dominic Artis G 12 36.1 16.0 6.9 6.3 1.8 0.2 3.5 3.4 24.2 19 21 0.9 1.1 43.9 16.7 76.5 -0.14 198.0 46.3
Matt Willms Matt Willms C 12 24.6 10.7 5.9 0.9 0.2 1.5 2.3 2.2 14.6 38 21 1.8 2.8 59.3 0 50.0 1.16 229.6 59.3
Terry Winn Terry Winn F 3 22.7 9.7 5.7 0.7 0.0 0.3 2.0 3.7 10.7 - - - - 63.6 0 100.0 3.63 126.7 63.6
Paul Thomas Paul Thomas F 12 22.3 8.7 6.9 1.7 0.6 0.5 1.7 1.2 15.4 -40 21 -1.9 -3.0 60.0 0 56.2 -4.06 235.9 60.0
Jake Flaggert Jake Flaggert F 12 28.2 6.1 2.8 1.1 0.3 0.2 1.0 1.2 8.3 27 21 1.3 2.0 46.7 53.8 100.0 -0.16 229.8 70.0
Trey Touchet Trey Touchet G 12 18.4 5.2 2.1 1.1 0.6 0.0 1.1 1.7 6.2 35 21 1.7 3.9 40.0 27.3 85.7 0.5 134.3 47.5
Kelvin Jones Kelvin Jones C 3 14.0 4.0 4.3 0.3 0.3 0.0 0.7 4.0 4.3 -2 21 -0.1 -0.4 41.7 0 33.3 -0.67 41.0 41.7
Deon Barrett Deon Barrett G 12 15.4 3.8 0.7 1.4 0.2 0.0 0.5 1.2 4.4 -20 20 -1.0 -3.5 33.3 36.4 87.5 -2.19 124.2 46.7
Tim Cameron Tim Cameron G 3 3.0 1.0 1.0 0.0 0.0 0.0 0.3 1.7 0.0 4 6 0.7 8.0 20.0 50.0 0 -0.32 30.0 30.0
Chris Barnes Chris Barnes G 7 5.3 0.9 0.6 0.1 0.0 0.0 0.4 0.4 0.7 0 10 0.0 0.0 33.3 0.0 0.0 -0.72 87.2 33.3
Ivan Venegas Ivan Venegas F 7 3.6 0.6 0.6 0.0 0.0 0.0 0.6 0.1 0.4 3 12 0.2 3.8 0.0 0 50.0 -0.83 72.5 0.0
Adrian Moore Adrian Moore G 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 -1.39 0 0
Hudson Urbanus Hudson Urbanus G 3 3.7 0.0 0.3 0.7 0.0 0.0 0.0 0.0 1.0 8 7 1.1 17.7 0 0 0 0.51 0 0
Jose Martinez Jose Martinez F 2 1.0 0.0 0.5 0.0 0.0 0.5 0.0 0.0 1.0 -1 5 -0.2 -7.6 0 0 0 -1.34 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