UNLV
2019 Team Stats (2 games)
64.0
PPG
84.0
Opp
-16.5
Margin
38.4%
FG%
27.1%
3P%
65.5%
FT%
41.5
RPG
11.5
APG
13.5
TO
82.4
Pace
Model Outputs
2018-2019
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 → | 1228 (#158) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1318 (#114) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +28.9 (#101) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.103 (#97) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.148 (#100) | AdjNet -15.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.148 (#100) | AdjNet -15.2 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-12-25 | @ | Bucknell Bison | L | 72 - 97 |
| 2019-01-29 | vs | Nevada Wolf Pack | L | 70 - 87 |
| 2019-02-27 | @ | Nevada Wolf Pack | L | 73 - 89 |
| 2019-03-14 | @ | San Diego State Aztecs | L | 55 - 63 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Clyburn
|
G | 4 | 31.5 | 16.5 | 6.5 | 0.8 | 1.5 | 0.0 | 3.0 | 15.8 | 6.5 | - | - | - | 42.9 | 29.2 | 55.6 | - | 49.3 | 48.4 |
A. Hardy
|
G | 4 | 32.0 | 14.8 | 3.2 | 3.8 | 1.0 | 0.5 | 2.8 | 11.5 | 9.0 | - | - | - | 45.7 | 33.3 | 75.0 | - | 55.6 | 51.1 |
J. Ntambwe
|
- | 4 | 24.5 | 10.0 | 7.2 | 0.5 | 0.2 | 0.2 | 1.0 | 2.5 | 14.8 | - | - | - | 30.0 | 25.0 | 33.3 | - | 176.7 | 35.0 |
N. Robotham
|
G | 4 | 33.2 | 6.5 | 2.2 | 4.0 | 1.0 | 0.0 | 2.0 | 9.2 | 2.5 | - | - | - | 27.0 | 18.5 | 50.0 | - | 34.3 | 33.8 |
C. Diong
|
C | 4 | 22.0 | 4.5 | 6.5 | 0.0 | 0.8 | 1.2 | 1.2 | 5.0 | 6.8 | - | - | - | 35.0 | 0 | 44.4 | - | 37.6 | 35.0 |
T. Beck
|
F | 2 | 10.5 | 4.0 | 1.0 | 0.0 | 0.5 | 0.5 | 0.5 | 2.0 | 3.5 | - | - | - | 75.0 | 0.0 | 100.0 | - | 82.0 | 75.0 |
J. Tchamwa Tchatchoua
|
- | 4 | 10.5 | 4.0 | 3.2 | 0.0 | 0.0 | 0.0 | 0.5 | 2.5 | 4.2 | - | - | - | 70.0 | 0 | 50.0 | - | 68.0 | 70.0 |
B. Hamilton
|
G | 4 | 9.8 | 3.5 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 3.8 | 0.5 | - | - | - | 33.3 | 28.6 | 50.0 | - | 41.8 | 40.0 |
M. Coleman II
|
- | 2 | 3.5 | 3.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | 2.0 | 13 | 1.4 | 6.1 | 100.0 | 100.0 | 0 | 0.37 | 116.7 | 116.7 |
N. Blair
|
F | 4 | 23.0 | 2.5 | 6.5 | 1.5 | 0.2 | 0.2 | 0.8 | 4.0 | 6.2 | - | - | - | 18.8 | 16.7 | 75.0 | - | 28.2 | 21.9 |
T. Woodbury
|
- | 4 | 5.8 | 1.5 | 0.5 | 0.2 | 0.2 | 0.2 | 1.0 | 2.0 | -0.2 | - | - | - | 37.5 | 0.0 | 0.0 | - | 35.5 | 37.5 |
B. Coupet Jr.
|
- | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -1.0 | 103 | 7.9 | 10.6 | 0.0 | 0.0 | 0 | 1.72 | 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