New Mexico State
2026 Team Stats (30 games)
74.6
PPG
71.9
Opp
+2.7
Margin
42.4%
FG%
31.8%
3P%
72.1%
FT%
38.4
RPG
12.7
APG
10.7
TO
81.1
Pace
74.1
AdjO
74.7
AdjD
#168
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 → | 1008 (#172) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 959 (#218) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 977 (#558) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.7 (#173) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.1 (#183) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.503 (#176) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.214 (#273) | NetEff -13.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.482 (#170) | AdjNet -0.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.481 (#170) | AdjNet -0.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.487 (#168) | AdjO 74.1 | AdjD 74.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.553 (#179) | AdjO 73.3 | AdjD 71.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.750 (#177) | 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 → | 0.712 (#180) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1045 (#197) | RD 134 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Jones
|
G | 30 | 28.2 | 17.7 | 4.4 | 2.4 | 1.3 | 0.5 | 1.4 | 14.0 | 10.9 | -5 | -0.4 | -68.2 | 42.5 | 37.2 | 84.2 | -0.06 | 54.7 | 48.2 |
J. Mims
|
- | 29 | 27.5 | 10.6 | 8.5 | 0.6 | 0.4 | 0.7 | 1.0 | 7.6 | 12.1 | 0 | 0.0 | 0.0 | 56.8 | 31.2 | 63.0 | -0.48 | 60.7 | 59.1 |
J. Randall
|
G | 30 | 20.0 | 8.9 | 3.1 | 0.7 | 0.7 | 0.3 | 0.6 | 7.7 | 5.5 | 48 | 2.3 | 6.6 | 36.5 | 30.9 | 83.6 | 0.17 | 50.9 | 44.8 |
E. Elliott
|
- | 29 | 18.6 | 8.2 | 2.0 | 2.2 | 0.8 | 0.2 | 1.3 | 7.4 | 4.5 | -16 | -1.3 | -3.1 | 33.3 | 31.4 | 76.9 | -0.26 | 47.3 | 41.0 |
A. Wrzeszcz
|
- | 30 | 24.7 | 7.2 | 2.2 | 1.0 | 0.5 | 0.2 | 0.7 | 6.4 | 3.9 | -38 | -1.8 | -4.2 | 34.7 | 31.8 | 84.2 | -0.99 | 51.5 | 47.7 |
J. Osborne
|
F | 30 | 24.0 | 6.2 | 5.0 | 0.6 | 0.6 | 0.4 | 0.8 | 4.6 | 7.5 | 76 | 3.6 | 9.7 | 54.7 | 16.7 | 59.3 | 0.84 | 57.4 | 55.8 |
G. Pickens
|
G | 29 | 21.6 | 4.5 | 1.7 | 3.2 | 0.8 | 0.0 | 1.8 | 4.3 | 4.1 | 4 | 0.2 | 0.6 | 36.0 | 25.5 | 64.4 | -0.36 | 45.2 | 40.8 |
C. Terrell
|
- | 29 | 12.5 | 4.2 | 1.4 | 1.8 | 0.9 | 0.0 | 0.8 | 3.5 | 4.1 | -20 | -1.0 | -5.0 | 43.1 | 43.9 | 76.2 | -0.54 | 54.8 | 52.0 |
C. Malonga
|
C | 22 | 12.0 | 3.8 | 2.5 | 0.2 | 0.3 | 0.4 | 0.7 | 2.1 | 4.5 | -29 | -1.4 | -6.3 | 66.0 | 0 | 47.8 | -0.66 | 62.5 | 66.0 |
K. Mullen
|
F | 24 | 13.5 | 3.4 | 4.0 | 0.3 | 0.2 | 0.1 | 1.0 | 3.2 | 3.8 | 13 | 0.6 | 2.4 | 33.3 | 22.2 | 53.3 | -0.06 | 41.9 | 37.2 |
A. Doyle
|
- | 2 | 6.5 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 0.0 | -100 | -4.3 | -16.2 | 25.0 | 25.0 | 0 | -1.42 | 37.5 | 37.5 |
Augustine Ekwe
|
- | 21 | 10.5 | 2.9 | 2.5 | 0.2 | 0.2 | 0.8 | 0.6 | 2.1 | 3.9 | 48 | 3.0 | 17.9 | 57.8 | 0 | 81.8 | 0.19 | 61.2 | 57.8 |
C. Villegas
|
G | 4 | 3.5 | 1.0 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 1.8 | 0.0 | - | - | - | 14.3 | 20.0 | 50.0 | - | 25.4 | 21.4 |
T. Eaglestaff
|
- | 3 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | 0.7 | -0.3 | 129 | 5.6 | 9.7 | 0.0 | 0.0 | 0 | 1.35 | 0.0 | 0.0 |
Omarr Smith
|
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