New Mexico
2021 Team Stats (3 games)
75.0
PPG
82.0
Opp
-10.0
Margin
45.2%
FG%
41.8%
3P%
68.5%
FT%
29.3
RPG
12.3
APG
16.0
TO
82.7
Pace
Model Outputs
2020-2021
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 → | 1463 (#33) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1322 (#93) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.1 (#76) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.131 (#91) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.191 (#91) | AdjNet -12.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.191 (#91) | AdjNet -12.5 |
2021 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-02-05 | vs | San Diego State Aztecs | - | Preview |
| 2021-02-19 | vs | Wyoming Cowboys | L | 67 - 79 |
| 2021-03-10 | @ | Fresno State Bulldogs | L | 77 - 85 |
2021 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Maluach
|
G | 2 | 31.5 | 23.0 | 4.5 | 1.0 | 1.0 | 1.0 | 3.5 | 14.5 | 12.5 | -144 | -6.5 | -8.8 | 44.8 | 40.0 | 85.7 | -0.71 | 60.1 | 48.3 |
J. Francis
|
G | 2 | 27.5 | 13.5 | 2.0 | 4.0 | 1.5 | 0.0 | 2.5 | 6.5 | 12.0 | -123 | -6.5 | -11.3 | 69.2 | 80.0 | 62.5 | -0.51 | 81.7 | 84.6 |
V. Manuel
|
F | 1 | 19.0 | 9.0 | 2.0 | 2.0 | 0.0 | 3.0 | 0.0 | 9.0 | 7.0 | -75 | -3.8 | -7.4 | 44.4 | 50.0 | 0 | -0.31 | 50.0 | 50.0 |
L. Padgett
|
F | 1 | 14.0 | 8.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 5.0 | 3.0 | -18 | -2.2 | -12.1 | 60.0 | 50.0 | 0.0 | -0.17 | 73.5 | 80.0 |
I. Marin
|
- | 2 | 28.5 | 8.0 | 2.5 | 4.0 | 1.5 | 0.5 | 3.0 | 7.0 | 6.5 | -71 | -3.7 | -9.4 | 35.7 | 45.5 | 50.0 | -0.21 | 53.8 | 53.6 |
J. Johnson
|
G | 2 | 21.0 | 7.0 | 3.0 | 0.0 | 1.0 | 0.5 | 0.0 | 7.0 | 4.5 | 132 | 6.0 | 11.2 | 35.7 | 25.0 | 100.0 | 0.95 | 45.7 | 39.3 |
R. Brown
|
- | 1 | 24.0 | 5.0 | 5.0 | 0.0 | 2.0 | 0.0 | 2.0 | 5.0 | 5.0 | 64 | 4.3 | 19.2 | 40.0 | 0 | 50.0 | 0.54 | 42.5 | 40.0 |
S. Singleton
|
- | 2 | 21.5 | 4.5 | 0.5 | 1.0 | 0.0 | 0.0 | 2.5 | 5.5 | -2.0 | -108 | -4.9 | -7.8 | 36.4 | 0.0 | 12.5 | -0.49 | 31.0 | 36.4 |
D. Headdings
|
G | 1 | 8.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 2.0 | 26 | 4.3 | 20.1 | 100.0 | 0 | 0 | 0.34 | 100.0 | 100.0 |
Emmanuel Kuac
|
G | 2 | 21.5 | 2.0 | 4.0 | 1.0 | 1.5 | 0.5 | 2.0 | 4.5 | 2.5 | -68 | -3.2 | -7.8 | 11.1 | 0.0 | 50.0 | -0.25 | 18.6 | 11.1 |
K. Wegscheider
|
G | 1 | 12.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 | -47 | -2.5 | -8.6 | 100.0 | 0 | 0 | -0.32 | 100.0 | 100.0 |
B. Matos
|
F | 1 | 15.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -120 | -6.0 | -12.6 | 50.0 | 0 | 0.0 | -0.95 | 34.7 | 50.0 |
C. Patterson
|
G | 1 | 5.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1 | 0.1 | 1.1 | 0 | 0 | 0 | -0.0 | 0 | 0 |
E. Medina
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 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