North Texas Mean Green
2026 Team Stats (28 games)
69.2
PPG
62.8
Opp
+6.4
Margin
40.3%
FG%
34.2%
3P%
69.8%
FT%
40.4
RPG
11.7
APG
16.8
TO
87.3
Pace
69.0
AdjO
61.2
AdjD
#91
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 → | 1042 (#157) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1066 (#135) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1044 (#135) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.7 (#93) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +21.2 (#83) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.711 (#105) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.655 (#127) | NetEff +4.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.792 (#97) | AdjNet +11.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.796 (#96) | AdjNet +11.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.670 (#91) | AdjO 69.0 | AdjD 61.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.663 (#88) | AdjO 68.7 | AdjD 61.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.859 (#102) | 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 → | 0.833 (#100) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1089 (#148) | RD 127 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Proctor
|
G | 28 | 29.9 | 14.6 | 2.7 | 1.0 | 1.4 | 0.4 | 1.9 | 12.9 | 5.3 | -61 | -2.8 | -4.3 | 43.1 | 39.3 | 70.1 | -2.33 | 52.6 | 50.4 |
M. Nestor
|
F | 28 | 28.2 | 12.1 | 13.9 | 1.6 | 1.5 | 0.5 | 2.7 | 8.0 | 18.9 | 80 | 3.5 | 5.1 | 53.3 | 0 | 69.0 | 4.72 | 58.9 | 53.3 |
A. Schissler
|
G | 28 | 24.9 | 9.0 | 2.2 | 1.6 | 0.5 | 0.4 | 1.6 | 8.6 | 3.6 | 22 | 1.0 | 1.7 | 37.3 | 37.5 | 63.3 | -0.6 | 49.8 | 48.5 |
J. Owens-Barnett
|
G | 26 | 23.3 | 7.7 | 2.2 | 2.3 | 0.8 | 0.1 | 2.2 | 6.1 | 4.8 | 25 | 1.1 | 2.1 | 32.7 | 26.1 | 82.0 | -0.67 | 48.4 | 34.6 |
M. Chase
|
G | 27 | 23.0 | 7.1 | 3.6 | 1.7 | 0.7 | 0.2 | 1.6 | 7.5 | 4.1 | -11 | -0.5 | -1.0 | 35.6 | 28.8 | 73.3 | 1.03 | 43.3 | 39.4 |
C. Price
|
G | 28 | 23.6 | 6.5 | 3.1 | 0.9 | 1.2 | 0.1 | 1.4 | 5.9 | 4.5 | 26 | 1.1 | 2.2 | 39.8 | 36.7 | 76.5 | 1.09 | 48.3 | 43.1 |
T. Hammond
|
G | 10 | 20.4 | 5.3 | 1.9 | 1.5 | 1.4 | 0.0 | 1.8 | 5.5 | 2.8 | 16 | 1.1 | 1.8 | 36.4 | 27.0 | 60.0 | 0.37 | 46.3 | 45.5 |
C. Spencer
|
G | 28 | 19.6 | 5.0 | 2.2 | 1.8 | 1.5 | 0.1 | 1.9 | 5.5 | 3.1 | 16 | 0.7 | 1.5 | 32.9 | 30.0 | 60.4 | 1.45 | 39.7 | 35.8 |
T. Lidge
|
F | 26 | 13.4 | 4.0 | 3.0 | 0.2 | 0.3 | 0.8 | 1.0 | 3.8 | 3.5 | -28 | -1.3 | -3.0 | 45.5 | 0.0 | 63.6 | -2.53 | 47.8 | 45.5 |
J. Talley
|
F | 23 | 8.1 | 1.6 | 1.9 | 0.0 | 0.4 | 0.1 | 0.7 | 1.4 | 1.8 | 10 | 0.5 | 2.2 | 45.5 | 0.0 | 37.5 | -0.88 | 45.0 | 45.5 |
S. Thornton
|
F | 17 | 4.0 | 1.2 | 1.4 | 0.2 | 0.1 | 0.2 | 0.5 | 1.1 | 1.4 | -41 | -2.4 | -16.6 | 38.9 | 0.0 | 42.9 | 1.09 | 41.4 | 38.9 |
A. Tac
|
F | 4 | 6.8 | 1.0 | 1.0 | 0.5 | 0.0 | 0.5 | 1.0 | 1.0 | 1.0 | 22 | 0.8 | 2.8 | 50.0 | 0.0 | 0 | -2.9 | 50.0 | 50.0 |
A. Rickman
|
F | 12 | 4.5 | 0.2 | 0.9 | 0.0 | 0.1 | 0.2 | 0.4 | 0.9 | 0.2 | -1 | -0.1 | -0.5 | 9.1 | 0.0 | 50.0 | -0.4 | 12.6 | 9.1 |
Laynee Stanley
|
F | 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