UNLV
2015 Team Stats (4 games)
65.8
PPG
64.0
Opp
+1.8
Margin
43.4%
FG%
32.4%
3P%
62.3%
FT%
34.3
RPG
11.3
APG
10.5
TO
75.1
Pace
Model Outputs
2014-2015
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 → | 1306 (#147) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1353 (#112) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +28.7 (#101) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.318 (#52) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.824 (#19) | AdjNet +13.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.828 (#19) | AdjNet +13.6 |
2015 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2014-12-23 | vs | Arizona Wildcats | W | 71 - 67 |
| 2015-01-04 | @ | Kansas Jayhawks | L | 61 - 76 |
| 2015-03-11 | vs | Nevada Wolf Pack | W | 67 - 46 |
| 2015-03-12 | @ | San Diego State Aztecs | L | 64 - 67 |
2015 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Wood
|
F | 4 | 34.5 | 21.2 | 8.2 | 1.2 | 0.5 | 1.8 | 1.2 | 15.5 | 16.2 | - | - | - | 54.8 | 23.1 | 77.8 | - | 60.8 | 57.3 |
R. Vaughn
|
- | 2 | 31.5 | 15.5 | 4.5 | 1.5 | 1.5 | 0.5 | 3.0 | 15.5 | 5.0 | - | - | - | 41.9 | 40.0 | 33.3 | - | 48.0 | 48.4 |
J. Kendrick
|
G | 4 | 28.0 | 7.8 | 5.2 | 2.8 | 1.2 | 0.5 | 1.0 | 7.0 | 9.5 | - | - | - | 39.3 | 33.3 | 46.7 | - | 44.8 | 42.9 |
Patrick McCaw
|
- | 4 | 29.0 | 7.5 | 3.5 | 1.2 | 1.2 | 0.2 | 2.5 | 8.8 | 2.5 | - | - | - | 28.6 | 25.0 | 71.4 | - | 39.4 | 35.7 |
C. Doolin
|
G | 4 | 30.5 | 6.8 | 2.2 | 4.2 | 1.8 | 0.0 | 1.5 | 5.0 | 8.5 | - | - | - | 45.0 | 50.0 | 85.7 | - | 58.5 | 52.5 |
J. Cornish
|
G | 4 | 16.2 | 6.5 | 1.5 | 0.8 | 0.5 | 0.2 | 0.2 | 4.2 | 5.0 | - | - | - | 47.1 | 41.7 | 71.4 | - | 64.7 | 61.8 |
G. Okonoboh
|
F | 4 | 33.0 | 6.2 | 5.5 | 0.2 | 1.2 | 3.2 | 0.8 | 5.5 | 10.2 | - | - | - | 45.5 | 0 | 41.7 | - | 45.8 | 45.5 |
C. Rushman
|
G | 1 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
D. Morgan
|
F | 4 | 12.5 | 1.5 | 1.8 | 0.0 | 0.5 | 0.2 | 1.2 | 3.0 | -0.2 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
B. Cheaney
|
G | 2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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