New Mexico Lobos
2026 Team Stats (34 games)
80.8
PPG
70.4
Opp
+10.4
Margin
45.6%
FG%
35.3%
3P%
72.2%
FT%
37.1
RPG
15.1
APG
10.1
TO
80.9
Pace
83.2
AdjO
69.4
AdjD
#47
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 → | 1177 (#53) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1228 (#38) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1071 (#81) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.7 (#47) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +28.3 (#31) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.800 (#28) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.789 (#80) | NetEff +11.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.891 (#46) | AdjNet +18.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.893 (#47) | AdjNet +18.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.779 (#47) | AdjO 83.2 | AdjD 69.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.746 (#22) | AdjO 80.8 | AdjD 69.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.908 (#47) | 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 → | 0.890 (#43) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1225 (#53) | RD 91 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jake Hall
|
- | 34 | 31.1 | 16.5 | 3.4 | 1.6 | 0.9 | 0.0 | 1.1 | 11.4 | 9.8 | 235 | 10.7 | 20.6 | 47.8 | 43.8 | 81.6 | 0.35 | 64.9 | 61.8 |
Tomislav Buljan
|
- | 32 | 26.0 | 12.8 | 10.4 | 1.4 | 1.1 | 0.5 | 1.6 | 9.2 | 15.4 | 107 | 5.3 | 11.8 | 53.7 | 33.3 | 58.4 | 1.13 | 57.2 | 55.1 |
D. Albury
|
- | 32 | 24.8 | 11.4 | 3.8 | 2.9 | 1.4 | 0.1 | 2.2 | 7.2 | 10.2 | 129 | 6.1 | 14.0 | 51.3 | 39.1 | 77.3 | 0.04 | 62.1 | 55.2 |
Uriah Tenette
|
- | 33 | 27.5 | 10.7 | 2.8 | 2.9 | 1.5 | 0.1 | 1.0 | 8.4 | 8.5 | -29 | -3.2 | -10.2 | 40.4 | 31.7 | 82.6 | 0.49 | 54.5 | 47.7 |
Luke Haupt
|
- | 34 | 28.8 | 7.8 | 4.4 | 3.1 | 1.5 | 0.2 | 1.4 | 6.0 | 9.7 | -12 | -1.1 | -5.1 | 44.6 | 30.0 | 71.1 | 0.73 | 53.9 | 48.3 |
A. Chol
|
- | 34 | 23.8 | 7.5 | 2.9 | 0.8 | 0.3 | 0.7 | 0.7 | 7.2 | 4.1 | 135 | 6.1 | 12.8 | 38.2 | 31.0 | 53.8 | 0.17 | 49.3 | 48.8 |
JT Rock
|
C | 34 | 12.7 | 6.1 | 3.4 | 0.4 | 0.2 | 0.9 | 0.6 | 4.4 | 6.0 | 126 | 5.7 | 28.2 | 52.0 | 38.6 | 63.5 | 0.57 | 61.2 | 59.5 |
T. Miller
|
- | 31 | 16.7 | 5.6 | 2.1 | 1.0 | 0.7 | 0.2 | 0.5 | 4.8 | 4.4 | 74 | 4.4 | 12.1 | 40.9 | 35.4 | 66.7 | -0.09 | 54.4 | 52.7 |
C. Howell
|
- | 9 | 24.1 | 5.3 | 3.2 | 3.7 | 1.9 | 0.1 | 1.6 | 4.7 | 8.0 | 0 | 0.0 | 0.0 | 35.7 | 20.0 | 83.3 | -0.13 | 48.1 | 39.3 |
K. Patton Jr.
|
- | 7 | 10.4 | 3.3 | 2.4 | 0.9 | 0.6 | 0.4 | 0.3 | 2.9 | 4.4 | 120 | 7.1 | 12.0 | 45.0 | 12.5 | 57.1 | 0.82 | 49.8 | 47.5 |
Milos Vicentic
|
- | 15 | 7.5 | 3.2 | 1.1 | 0.2 | 0.3 | 0.1 | 0.1 | 3.2 | 1.6 | 42 | 2.8 | 20.7 | 33.3 | 20.7 | 100.0 | -0.0 | 45.8 | 39.6 |
Timeo Pons
|
- | 12 | 5.8 | 2.7 | 1.0 | 0.2 | 0.2 | 0.2 | 0.2 | 2.5 | 1.6 | -12 | -6.0 | -185.8 | 33.3 | 30.4 | 83.3 | -0.08 | 49.0 | 45.0 |
Kallai Patton
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Sir Marius Jones
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 7 | 0.7 | 7.1 | - | - | - | 0.06 | - | - |
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