New Mexico Lobos
2024 Team Stats (36 games)
78.5
PPG
70.7
Opp
+10.3
Margin
45.2%
FG%
32.7%
3P%
71.3%
FT%
38.6
RPG
14.0
APG
9.7
TO
82.3
Pace
Model Outputs
2023-2024
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 → | 1351 (#33) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1370 (#33) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +35.6 (#42) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.718 (#14) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.806 (#20) | NetEff +12.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.734 (#30) | AdjNet +8.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.735 (#30) | AdjNet +8.8 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. House
|
- | 31 | 29.4 | 15.9 | 3.5 | 3.5 | 2.3 | 0.2 | 1.8 | 13.7 | 9.8 | 34 | 3.1 | 6.5 | 37.4 | 32.8 | 88.5 | 0.45 | 51.2 | 44.5 |
D. Dent
|
G | 35 | 31.3 | 14.1 | 2.5 | 5.4 | 1.5 | 0.7 | 2.3 | 10.7 | 11.3 | -18 | -0.7 | -3.5 | 52.0 | 37.5 | 68.2 | 0.16 | 57.1 | 54.0 |
J. Mashburn Jr.
|
G | 28 | 29.4 | 14.1 | 2.1 | 1.5 | 0.4 | 0.1 | 1.3 | 12.7 | 4.2 | 113 | 14.1 | 74.9 | 36.0 | 31.7 | 84.7 | 0.6 | 48.5 | 41.6 |
JT Toppin
|
- | 36 | 26.6 | 12.4 | 9.1 | 0.6 | 1.1 | 1.9 | 0.9 | 8.6 | 15.4 | 22 | 2.0 | 4.8 | 62.3 | 34.4 | 56.5 | -0.03 | 64.0 | 64.0 |
Nelly Joseph
|
C | 36 | 26.2 | 8.9 | 8.2 | 1.0 | 1.1 | 1.4 | 1.5 | 6.4 | 12.6 | 45 | 4.1 | 10.0 | 55.0 | 0 | 52.3 | 0.52 | 55.9 | 55.0 |
Mustapha Amzil
|
F | 35 | 18.6 | 6.7 | 3.5 | 0.7 | 0.6 | 0.3 | 0.7 | 5.5 | 5.5 | 17 | 1.5 | 5.1 | 40.3 | 29.2 | 77.1 | 0.04 | 53.2 | 47.6 |
T. Washington
|
G | 35 | 17.9 | 6.6 | 3.3 | 1.3 | 1.4 | 0.2 | 1.1 | 5.8 | 5.9 | 37 | 1.6 | 3.6 | 42.2 | 28.2 | 67.8 | 0.51 | 50.4 | 47.1 |
J. Baker
|
- | 35 | 17.6 | 4.4 | 1.5 | 1.0 | 0.3 | 0.1 | 0.3 | 3.8 | 3.3 | 22 | 3.1 | 5.8 | 39.6 | 38.0 | 70.0 | 0.43 | 55.6 | 54.9 |
B. Appelhans
|
G | 16 | 5.8 | 2.5 | 0.6 | 0.3 | 0.2 | 0.1 | 0.3 | 2.1 | 1.2 | -4 | -1.3 | -21.2 | 38.2 | 40.0 | 100.0 | -0.14 | 55.9 | 52.9 |
Q. Webb
|
G | 19 | 9.0 | 2.0 | 1.4 | 0.1 | 0.6 | 0.2 | 0.3 | 1.7 | 2.2 | -8 | -2.0 | -15.8 | 50.0 | 29.4 | 25.0 | -0.28 | 56.3 | 57.8 |
I. Mushila
|
- | 25 | 8.7 | 1.8 | 2.7 | 0.4 | 0.3 | 0.1 | 0.4 | 1.5 | 3.4 | 6 | 1.0 | 14.1 | 28.9 | 25.0 | 67.9 | 0.03 | 43.7 | 32.9 |
S. Forsling
|
- | 22 | 4.3 | 1.0 | 1.0 | 0.4 | 0.0 | 0.0 | 0.1 | 0.6 | 1.7 | -5 | -0.8 | -26.4 | 69.2 | 0.0 | 50.0 | -0.17 | 66.1 | 69.2 |
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