New Mexico Lobos
2026 Team Stats (28 games)
67.8
PPG
60.6
Opp
+7.2
Margin
40.8%
FG%
30.7%
3P%
69.2%
FT%
39.8
RPG
11.7
APG
14.5
TO
82.5
Pace
66.9
AdjO
61.6
AdjD
#110
Rank
Model Outputs
2025-2026
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 → | 1112 (#111) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1088 (#121) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1058 (#113) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +5.4 (#109) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.9 (#109) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.768 (#83) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.772 (#89) | NetEff +9.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.730 (#109) | AdjNet +8.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.733 (#109) | AdjNet +8.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.618 (#110) | AdjO 66.9 | AdjD 61.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.597 (#127) | AdjO 64.2 | AdjD 59.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.827 (#120) | 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 → | 0.796 (#120) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1130 (#117) | RD 147 | GP 28 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Hooks
|
G | 28 | 24.3 | 13.2 | 3.2 | 1.0 | 0.9 | 0.2 | 2.4 | 12.1 | 4.1 | 10 | 0.4 | 0.8 | 39.9 | 29.6 | 75.9 | 0.44 | 49.4 | 45.4 |
Antonio Chol
|
G | 26 | 26.3 | 10.7 | 5.2 | 1.7 | 1.5 | 0.3 | 2.4 | 9.3 | 7.5 | - | - | - | 43.6 | 31.5 | 72.4 | - | 51.6 | 48.4 |
J. Magalhaes
|
G | 26 | 25.2 | 9.0 | 2.2 | 1.8 | 1.5 | 0.1 | 2.1 | 8.3 | 4.1 | - | - | - | 40.3 | 25.0 | 66.7 | - | 48.0 | 44.4 |
N. Padilla
|
G | 28 | 24.1 | 8.0 | 2.8 | 1.7 | 1.2 | 0.2 | 1.6 | 7.4 | 5.0 | 43 | 1.8 | 3.6 | 36.9 | 35.4 | 76.5 | 1.37 | 50.5 | 47.8 |
L. Abdurraqib
|
G | 28 | 20.8 | 7.8 | 2.2 | 1.1 | 0.6 | 0.2 | 0.8 | 6.5 | 4.6 | 48 | 2.0 | 5.3 | 41.0 | 36.8 | 71.0 | 1.09 | 55.4 | 53.6 |
A. Hargrove
|
G | 28 | 25.4 | 6.2 | 3.2 | 2.5 | 1.5 | 0.4 | 1.9 | 7.0 | 5.0 | 110 | 4.8 | 8.8 | 33.7 | 25.0 | 77.3 | 1.38 | 42.3 | 40.1 |
C. Craig
|
F | 7 | 14.4 | 6.1 | 4.7 | 0.6 | 0.4 | 0.7 | 1.0 | 4.0 | 7.6 | 19 | 1.9 | 3.4 | 60.7 | 100.0 | 80.0 | 1.55 | 66.4 | 62.5 |
J. Joaquim
|
F | 27 | 18.4 | 4.0 | 7.1 | 0.4 | 0.7 | 0.2 | 0.7 | 3.0 | 8.5 | 43 | 2.0 | 6.3 | 52.4 | 0.0 | 61.8 | -0.02 | 55.2 | 52.4 |
E. Najjuma
|
F | 28 | 16.6 | 3.2 | 6.4 | 0.3 | 0.3 | 0.6 | 0.7 | 2.2 | 8.0 | -10 | -0.4 | -1.5 | 66.1 | 0 | 47.4 | -1.46 | 64.7 | 66.1 |
D. Jordon
|
G | 28 | 9.4 | 3.0 | 1.5 | 0.6 | 0.5 | 0.1 | 0.8 | 2.7 | 2.3 | 31 | 1.3 | 7.5 | 42.7 | 35.7 | 66.7 | 1.08 | 49.3 | 46.0 |
K. Foster
|
G | 19 | 5.8 | 2.6 | 1.2 | 0.1 | 0.1 | 0.3 | 0.2 | 2.7 | 1.3 | 9 | 0.6 | 2.8 | 30.8 | 29.7 | 77.8 | -0.3 | 44.7 | 41.3 |
T. Jones
|
G | 21 | 7.1 | 1.0 | 0.7 | 1.0 | 0.5 | 0.0 | 0.8 | 1.9 | 0.5 | 14 | 1.3 | 4.6 | 20.5 | 7.1 | 41.7 | 1.23 | 24.8 | 21.8 |
L. Peixinho
|
F | 11 | 2.5 | 0.6 | 0.6 | 0.1 | 0.1 | 0.0 | 0.0 | 0.4 | 1.1 | 0 | 0.0 | 0.0 | 25.0 | 0.0 | 50.0 | 1.28 | 41.7 | 25.0 |
Quintilla Hidalgo
|
G | 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