New Mexico Lobos
2025 Team Stats (4 games)
80.3
PPG
77.8
Opp
+2.4
Margin
47.3%
FG%
43.1%
3P%
63.6%
FT%
39.8
RPG
18.3
APG
13.5
TO
83.6
Pace
70.0
AdjO
68.3
AdjD
#147
Rank
Model Outputs
2024-2025
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 → | 1110 (#108) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1029 (#150) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.1 (#151) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.541 (#155) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.541 (#155) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.581 (#152) | AdjNet +2.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.584 (#149) | AdjNet +2.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.538 (#147) | AdjO 70.0 | AdjD 68.3 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-01-21 | @ | Utah State Aggies | W | 101 - 79 |
| 2025-01-28 | @ | Boise State Broncos | L | 80 - 89 |
| 2025-02-04 | vs | Colorado State Rams | L | 63 - 69 |
| 2025-03-04 | vs | Air Force Falcons | W | 77 - 74 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
V. Cumber
|
G | 4 | 34.2 | 17.2 | 5.5 | 2.2 | 0.0 | 0.2 | 1.2 | 12.8 | 11.2 | 40 | 1.2 | 39.0 | 45.1 | 43.8 | 90.0 | -0.86 | 62.3 | 58.8 |
D. Hooks
|
G | 4 | 27.2 | 14.5 | 2.8 | 2.0 | 0.8 | 0.0 | 1.8 | 12.5 | 5.8 | 20 | 0.6 | 2.6 | 48.0 | 42.1 | 28.6 | 0.15 | 54.6 | 56.0 |
J. Magalhaes
|
G | 4 | 29.2 | 12.8 | 6.2 | 3.5 | 1.2 | 0.5 | 1.8 | 10.5 | 12.0 | - | - | - | 45.2 | 35.7 | 57.1 | - | 52.9 | 51.2 |
A. Hargrove
|
G | 4 | 36.8 | 10.2 | 4.2 | 6.8 | 1.5 | 1.0 | 3.8 | 8.8 | 11.2 | 30 | 0.9 | 4.1 | 42.9 | 43.8 | 66.7 | 0.57 | 54.5 | 52.9 |
H. Joaquim
|
F | 4 | 25.8 | 6.5 | 7.2 | 1.2 | 0.2 | 0.0 | 0.2 | 5.5 | 9.5 | 3 | 0.1 | 0.4 | 54.5 | 0.0 | 100.0 | -0.01 | 56.8 | 54.5 |
A. Moreland
|
F | 4 | 14.2 | 5.5 | 5.0 | 0.5 | 0.8 | 1.5 | 1.2 | 3.8 | 8.2 | 9 | 0.3 | 1.8 | 60.0 | 0.0 | 50.0 | 0.27 | 59.4 | 60.0 |
N. Padilla
|
G | 3 | 17.0 | 5.0 | 3.3 | 1.7 | 0.7 | 0.0 | 2.3 | 5.3 | 3.0 | -17 | -0.7 | -5.9 | 31.2 | 40.0 | 75.0 | -0.48 | 42.2 | 37.5 |
P. Lauro
|
F | 4 | 6.2 | 4.5 | 1.2 | 0.2 | 0.0 | 0.2 | 0.0 | 2.2 | 4.0 | -3 | -0.1 | -1.6 | 77.8 | 66.7 | 0 | -0.71 | 100.0 | 100.0 |
D. Jordon
|
G | 3 | 8.0 | 3.7 | 0.7 | 0.7 | 0.0 | 0.3 | 0.7 | 3.3 | 1.3 | -19 | -1.1 | -13.1 | 40.0 | 66.7 | 50.0 | -0.88 | 50.6 | 50.0 |
L. Langermann
|
G | 3 | 9.0 | 3.3 | 0.3 | 0.0 | 0.7 | 0.3 | 1.7 | 2.0 | 1.0 | 5 | 0.2 | 1.1 | 50.0 | 40.0 | 100.0 | -0.23 | 72.7 | 66.7 |
L. Mwamba
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -5 | -0.4 | -3.2 | 0 | 0 | 0 | -0.81 | 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