New Mexico Lobos
2016 Team Stats (4 games)
65.5
PPG
76.0
Opp
-5.8
Margin
40.1%
FG%
33.3%
3P%
81.0%
FT%
32.5
RPG
10.0
APG
15.5
TO
79.0
Pace
Model Outputs
2015-2016
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 → | 1590 (#37) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1348 (#108) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.9 (#85) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.103 (#95) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.101 (#101) | AdjNet -18.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.102 (#100) | AdjNet -18.8 |
2016 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2015-11-15 | @ | New Mexico State Aggies | W | 83 - 74 |
| 2015-12-05 | @ | Purdue Boilermakers | L | 58 - 70 |
| 2015-12-19 | vs | Rice Owls | L | 89 - 90 |
| 2015-12-25 | @ | Washington State Cougars | L | 59 - 82 |
| 2016-03-10 | vs | Nevada Wolf Pack | L | 62 - 64 |
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Brown
|
G | 5 | 34.4 | 22.8 | 5.8 | 2.2 | 1.0 | 0.0 | 4.4 | 11.6 | 15.8 | - | - | - | 41.4 | 37.5 | 90.0 | 0.47 | 75.4 | 49.1 |
T. Williams
|
F | 5 | 30.8 | 12.4 | 5.8 | 1.0 | 0.6 | 1.4 | 1.0 | 8.6 | 11.6 | 41 | 2.7 | 3.4 | 41.9 | 0 | 66.7 | 1.41 | 64.2 | 41.9 |
C. Neal
|
G | 5 | 26.6 | 10.6 | 2.4 | 3.0 | 0.8 | 0.0 | 3.8 | 8.8 | 4.2 | - | - | - | 29.5 | 29.4 | 85.7 | 0.29 | 56.3 | 35.2 |
S. Logwood
|
G | 5 | 28.2 | 7.0 | 4.2 | 1.4 | 1.0 | 0.4 | 1.0 | 5.2 | 7.8 | - | - | - | 46.2 | 57.1 | 100.0 | -0.12 | 64.1 | 53.8 |
O. Aget
|
C | 5 | 22.0 | 5.6 | 4.6 | 0.6 | 0.2 | 1.6 | 1.6 | 2.6 | 8.4 | - | - | - | 61.5 | 0 | 50.0 | 0.1 | 100.9 | 61.5 |
J. Hunter
|
G | 4 | 11.8 | 4.5 | 1.0 | 1.8 | 0.5 | 0.0 | 1.0 | 2.0 | 4.8 | - | - | - | 50.0 | 25.0 | 66.7 | - | 84.6 | 56.2 |
N. Scekic
|
C | 4 | 9.5 | 2.5 | 0.8 | 0.0 | 0.2 | 0.0 | 1.0 | 0.8 | 1.8 | - | - | - | 100.0 | 0 | 0 | - | 166.7 | 100.0 |
X. Adams
|
G | 5 | 12.0 | 2.2 | 2.8 | 1.0 | 0.6 | 0.2 | 0.2 | 2.0 | 4.6 | - | - | - | 20.0 | 0.0 | 66.7 | 0.09 | 43.5 | 20.0 |
J. Furstinger
|
F | 5 | 11.0 | 2.2 | 2.2 | 0.0 | 0.4 | 0.8 | 0.6 | 1.2 | 3.8 | - | - | - | 33.3 | 0 | 50.0 | 0.08 | 70.9 | 33.3 |
D. Williams
|
F | 1 | 14.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 40 | 2.7 | 2.7 | 0.0 | 0 | 100.0 | 1.52 | 53.2 | 0.0 |
T. Jacobs
|
G | 5 | 8.4 | 1.0 | 1.8 | 1.4 | 0.4 | 0.2 | 1.0 | 0.6 | 3.2 | - | - | - | 33.3 | 100.0 | 100.0 | 0.13 | 64.4 | 50.0 |
D. Kuiper
|
F | 4 | 3.2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | 0.2 | - | - | - | 0.0 | 0 | 0 | - | 100.0 | 0.0 |
A. Mathis
|
G | 4 | 5.2 | 0.0 | 0.8 | 0.5 | 0.5 | 0.0 | 0.2 | 0.2 | 1.2 | - | - | - | 0.0 | 0.0 | 0 | -0.41 | 0.0 | 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