McNeese Cowboys
2026 Team Stats (32 games)
80.2
PPG
66.5
Opp
+13.7
Margin
46.8%
FG%
32.6%
3P%
74.9%
FT%
35.3
RPG
14.3
APG
9.5
TO
79.8
Pace
77.1
AdjO
69.0
AdjD
#87
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 → | 1328 (#14) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1204 (#49) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1173 (#11) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.1 (#78) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.9 (#61) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.815 (#24) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.879 (#55) | NetEff +15.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.788 (#83) | AdjNet +11.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.791 (#83) | AdjNet +11.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.676 (#87) | AdjO 77.1 | AdjD 69.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.743 (#23) | AdjO 76.7 | AdjD 65.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.908 (#46) | 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 → | 0.891 (#42) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1316 (#26) | RD 123 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Johnson
|
- | 32 | 25.5 | 17.6 | 5.5 | 1.4 | 1.2 | 0.0 | 1.1 | 12.8 | 11.8 | -17 | -3.4 | -13.9 | 49.8 | 25.3 | 76.9 | 0.23 | 58.1 | 52.8 |
T. Archie
|
G | 32 | 25.6 | 13.9 | 1.9 | 2.9 | 1.7 | 0.4 | 1.5 | 12.0 | 7.2 | 242 | 10.1 | 27.5 | 42.7 | 36.9 | 90.6 | 0.81 | 54.0 | 50.4 |
J. Garcia
|
G | 28 | 29.2 | 11.6 | 3.1 | 1.7 | 1.7 | 0.7 | 0.6 | 9.0 | 9.3 | 12 | 0.9 | 6.6 | 45.6 | 37.8 | 74.7 | 0.72 | 56.8 | 53.0 |
G. Dual
|
G | 32 | 26.6 | 8.7 | 2.9 | 4.4 | 1.5 | 0.7 | 1.6 | 6.7 | 9.8 | 158 | 7.2 | 16.8 | 46.0 | 33.3 | 76.4 | 0.63 | 56.1 | 51.6 |
DJ Richards
|
G | 32 | 22.5 | 8.7 | 2.1 | 0.7 | 0.9 | 0.2 | 0.8 | 6.4 | 5.2 | 93 | 5.5 | 12.5 | 38.3 | 36.8 | 77.6 | 0.65 | 57.8 | 52.9 |
J. Colbert
|
- | 32 | 19.7 | 5.7 | 4.1 | 0.5 | 0.7 | 1.2 | 1.1 | 3.9 | 7.3 | 0 | 0.0 | 0.0 | 57.3 | 20.0 | 56.3 | 0.72 | 58.9 | 57.7 |
J. Fredson-Cole
|
- | 32 | 18.4 | 5.4 | 4.0 | 1.5 | 1.1 | 0.4 | 0.9 | 4.1 | 7.5 | -7 | -0.8 | -4.6 | 41.5 | 11.8 | 79.5 | 0.57 | 52.9 | 43.1 |
C. Cherenfant
|
G | 31 | 16.6 | 4.3 | 3.2 | 0.9 | 1.0 | 0.2 | 0.8 | 3.1 | 5.7 | -3 | -0.2 | -1.6 | 47.4 | 21.4 | 73.5 | 0.71 | 56.5 | 50.5 |
P. Machar
|
- | 32 | 12.8 | 3.8 | 3.2 | 0.1 | 0.4 | 0.7 | 0.2 | 1.9 | 6.0 | 23 | 2.6 | 16.0 | 72.6 | 0.0 | 60.0 | 0.16 | 71.4 | 72.6 |
Y. Ndjonga
|
- | 26 | 10.4 | 2.5 | 3.5 | 0.1 | 0.4 | 0.1 | 0.3 | 1.6 | 4.7 | 114 | 6.0 | 33.7 | 63.4 | 40.0 | 83.3 | 0.27 | 69.1 | 65.9 |
JJ Rembert
|
- | 8 | 4.8 | 0.5 | 0.0 | 1.5 | 0.2 | 0.0 | 0.2 | 1.2 | 0.8 | -9 | -1.5 | -39.7 | 10.0 | 0.0 | 100.0 | -0.02 | 18.4 | 10.0 |
T. Brown
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 47 | 2.0 | 4.8 | - | - | - | 0.61 | - | - |
E. Villarreal
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Kaleb Brewer
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Abdou Akim Mazou Tahirou
|
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