UTEP
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
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. More โ | 1045 (#103) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -2.9 (#206) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More โ | 0.412 (#196) | AdjNet -3.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.411 (#196) | AdjNet -3.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. More โ | 1020 (#153) | RD 130 | GP 31 |
2017 Schedule & Results
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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