UNLV
2026 Team Stats (33 games)
79.1
PPG
79.0
Opp
+0.1
Margin
46.9%
FG%
34.5%
3P%
67.9%
FT%
35.1
RPG
14.3
APG
12.2
TO
81.8
Pace
81.8
AdjO
76.6
AdjD
#103
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 → | 1072 (#128) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1116 (#86) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1061 (#86) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +5.3 (#104) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.8 (#76) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.475 (#197) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.806 (#76) | NetEff +14.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.694 (#103) | AdjNet +7.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.696 (#103) | AdjNet +7.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.615 (#103) | AdjO 81.8 | AdjD 76.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.614 (#101) | AdjO 78.5 | AdjD 73.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.830 (#95) | 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 → | 0.802 (#91) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1136 (#102) | RD 105 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Gibbs-Lawhorn
|
G | 33 | 34.2 | 21.2 | 3.0 | 2.5 | 1.5 | 0.5 | 2.5 | 15.2 | 11.0 | -36 | -1.7 | -2.6 | 49.5 | 41.4 | 84.7 | -0.53 | 62.9 | 59.3 |
K. Hamilton
|
- | 33 | 29.0 | 12.8 | 5.0 | 2.2 | 1.1 | 0.3 | 1.5 | 9.3 | 10.7 | 16 | 0.8 | 1.3 | 47.2 | 32.7 | 73.7 | 0.33 | 57.6 | 52.4 |
Tyrin Jones
|
- | 30 | 27.4 | 11.9 | 5.2 | 1.5 | 1.1 | 2.3 | 1.1 | 7.8 | 13.1 | 14 | 0.7 | 1.3 | 59.6 | 28.6 | 47.5 | 0.02 | 58.6 | 60.0 |
Issac Williamson
|
- | 31 | 23.1 | 8.7 | 1.7 | 1.1 | 0.9 | 0.3 | 1.5 | 7.3 | 3.9 | -76 | -4.0 | -7.7 | 39.6 | 33.6 | 66.2 | -0.82 | 52.1 | 48.7 |
H. Fleming Jr.
|
G | 31 | 28.8 | 8.6 | 6.5 | 3.5 | 1.2 | 0.1 | 1.9 | 6.5 | 11.5 | 15 | 0.8 | 1.3 | 43.3 | 29.9 | 78.9 | 0.17 | 55.7 | 49.0 |
Jacob Bannarbie
|
- | 29 | 16.2 | 5.4 | 4.9 | 1.4 | 0.6 | 0.4 | 1.1 | 3.6 | 8.0 | 43 | 2.5 | 8.5 | 51.0 | 25.0 | 63.3 | 0.26 | 56.6 | 51.4 |
N. Cunningham
|
- | 20 | 13.1 | 5.0 | 1.2 | 0.8 | 0.5 | 0.1 | 0.6 | 4.5 | 2.5 | 23 | 1.5 | 4.8 | 33.3 | 22.7 | 80.6 | 0.33 | 46.8 | 38.9 |
A. Green
|
G | 27 | 12.6 | 4.4 | 1.1 | 0.7 | 0.4 | 0.1 | 0.5 | 3.7 | 2.7 | -88 | -4.2 | -9.9 | 41.0 | 30.4 | 87.5 | -0.2 | 54.3 | 49.5 |
L. Dembele
|
- | 6 | 16.8 | 4.3 | 3.5 | 1.2 | 0.5 | 0.7 | 1.0 | 4.5 | 4.7 | -13 | -1.4 | -6.3 | 37.0 | 28.6 | 50.0 | -0.29 | 45.2 | 44.4 |
Walter Brown
|
- | 32 | 20.3 | 3.9 | 2.8 | 1.1 | 0.5 | 0.4 | 0.9 | 3.2 | 4.8 | -2 | -0.1 | -0.4 | 43.6 | 34.7 | 57.1 | 0.23 | 53.7 | 52.0 |
E. Stephen
|
C | 22 | 14.5 | 2.9 | 3.9 | 0.3 | 0.4 | 0.6 | 0.8 | 2.5 | 4.7 | 1 | 0.1 | 0.2 | 50.0 | 0.0 | 36.8 | 0.26 | 48.9 | 50.0 |
Jalen Cunningham
|
- | 7 | 2.9 | 0.4 | 0.1 | 0.3 | 0.1 | 0.3 | 0.0 | 0.7 | 0.6 | 7 | 2.3 | 42.9 | 20.0 | 20.0 | 0 | 0.12 | 30.0 | 30.0 |
M. Che
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Mason Abittan
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Xavier Brumfield
|
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