Wyoming Cowboys
2026 Team Stats (30 games)
75.9
PPG
72.9
Opp
+3.0
Margin
44.3%
FG%
32.8%
3P%
73.7%
FT%
35.5
RPG
14.0
APG
11.0
TO
79.0
Pace
77.7
AdjO
70.6
AdjD
#93
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 → | 1069 (#129) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1037 (#143) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1041 (#120) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.0 (#93) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.0 (#86) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.623 (#100) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.074 (#320) | NetEff -24.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.734 (#99) | AdjNet +8.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.737 (#100) | AdjNet +8.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.657 (#93) | AdjO 77.7 | AdjD 70.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.594 (#127) | AdjO 74.1 | AdjD 69.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.824 (#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 → | 0.786 (#108) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1103 (#134) | RD 120 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Walker
|
G | 30 | 28.9 | 13.4 | 3.0 | 3.7 | 0.8 | 0.2 | 2.3 | 11.3 | 7.5 | 28 | 1.3 | 2.2 | 39.8 | 27.8 | 82.0 | 0.02 | 51.2 | 44.5 |
Nasir Meyer
|
- | 28 | 27.1 | 12.4 | 4.6 | 2.5 | 0.9 | 0.1 | 1.8 | 9.2 | 9.5 | 68 | 3.6 | 6.2 | 44.8 | 33.8 | 76.1 | 0.73 | 57.8 | 53.3 |
D. Dennis
|
G | 29 | 24.3 | 11.3 | 3.3 | 1.3 | 0.9 | 0.3 | 0.6 | 7.9 | 8.5 | 65 | 3.1 | 7.2 | 52.2 | 34.1 | 84.8 | 0.64 | 63.1 | 58.9 |
K. Bennett
|
- | 30 | 29.5 | 10.5 | 5.2 | 2.9 | 1.4 | 0.1 | 1.4 | 7.9 | 10.8 | 48 | 2.2 | 4.1 | 40.5 | 36.7 | 80.0 | 0.05 | 56.2 | 49.8 |
Gavin Gores
|
- | 25 | 18.4 | 7.6 | 3.5 | 0.3 | 0.3 | 0.4 | 1.0 | 4.5 | 6.5 | -14 | -0.7 | -1.7 | 61.1 | 23.5 | 67.1 | -0.43 | 65.8 | 62.8 |
Uriyah Rojas
|
- | 30 | 16.6 | 6.2 | 2.1 | 1.8 | 0.4 | 0.0 | 0.7 | 5.6 | 4.2 | 44 | 2.1 | 5.9 | 37.9 | 31.5 | 80.6 | 0.05 | 50.3 | 46.4 |
A. Harakow
|
- | 30 | 18.8 | 5.7 | 2.7 | 0.6 | 0.5 | 0.2 | 0.6 | 4.2 | 4.9 | 36 | 1.7 | 4.1 | 44.9 | 38.4 | 69.0 | -0.01 | 58.8 | 55.9 |
M. Belic
|
- | 12 | 16.2 | 5.2 | 4.2 | 0.8 | 0.5 | 0.5 | 1.8 | 3.9 | 5.4 | 71 | 5.5 | 15.4 | 46.8 | 25.0 | 56.0 | 0.6 | 53.4 | 51.1 |
J. Harris
|
G | 10 | 8.7 | 3.5 | 2.4 | 0.3 | 0.6 | 0.0 | 0.2 | 2.9 | 3.7 | 7 | 0.3 | 2.5 | 34.5 | 35.3 | 75.0 | -0.05 | 51.1 | 44.8 |
A. Magassa
|
- | 26 | 10.5 | 3.3 | 3.2 | 0.2 | 0.4 | 0.3 | 0.5 | 2.2 | 4.7 | 73 | 3.2 | 13.6 | 57.1 | 0 | 51.2 | 0.71 | 57.4 | 57.1 |
Simm Saadi
|
- | 29 | 8.9 | 3.1 | 1.1 | 0.2 | 0.2 | 0.2 | 0.6 | 3.3 | 1.0 | -14 | -0.7 | -4.4 | 33.3 | 29.2 | 100.0 | -0.42 | 45.8 | 44.3 |
Kiani Saxon
|
- | 30 | 14.4 | 1.9 | 2.5 | 0.3 | 0.4 | 0.6 | 0.5 | 1.7 | 3.6 | 27 | 1.3 | 3.8 | 46.0 | 33.3 | 31.8 | 0.3 | 48.6 | 51.0 |
T. Taylor
|
- | 2 | 3.0 | 1.5 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -16 | -1.6 | -70.3 | 50.0 | 50.0 | 0 | -0.02 | 75.0 | 75.0 |
Garrett Spielman
|
- | 7 | 2.0 | 0.7 | 0.6 | 0.0 | 0.3 | 0.0 | 0.1 | 0.7 | 0.7 | 0 | 0.0 | 0.0 | 40.0 | 50.0 | 0 | -0.15 | 50.0 | 50.0 |
Neil Summers
|
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