UC Riverside
2015 Team Stats (2 games)
48.0
PPG
67.7
Opp
-10.7
Margin
32.5%
FG%
10.0%
3P%
68.0%
FT%
30.0
RPG
9.5
APG
10.0
TO
74.0
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 → | 1181 (#223) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1222 (#212) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.0 (#226) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.001 (#116) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.007 (#115) | AdjNet -42.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.006 (#115) | AdjNet -42.7 |
2015 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2014-11-15 | vs | UC San Diego Tritons | W | 75 - 52 |
| 2014-11-21 | @ | Utah Utes | L | 42 - 88 |
| 2015-03-12 | @ | UC Irvine Anteaters | L | 54 - 63 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Johns
|
F | 3 | 30.0 | 11.7 | 7.3 | 2.0 | 0.0 | 2.7 | 2.0 | 9.7 | 12.0 | - | - | - | 27.6 | 50.0 | 0.0 | - | 56.9 | 29.3 |
N. Gruninger
|
G | 3 | 29.0 | 11.7 | 3.0 | 2.0 | 0.3 | 0.0 | 1.7 | 5.7 | 9.7 | - | - | - | 35.3 | 0.0 | 100.0 | - | 85.3 | 35.3 |
J. Bland
|
G | 3 | 31.3 | 8.7 | 2.7 | 1.7 | 0.3 | 0.0 | 1.0 | 6.3 | 6.0 | - | - | - | 21.1 | 11.1 | 0 | - | 68.4 | 23.7 |
S. Thornton
|
F | 3 | 25.3 | 6.0 | 1.7 | 1.0 | 1.0 | 0.7 | 0.7 | 4.3 | 5.3 | - | - | - | 46.2 | 0.0 | 100.0 | - | 64.8 | 46.2 |
A. Quick
|
G | 3 | 14.3 | 4.3 | 2.3 | 1.3 | 0.7 | 0.0 | 1.7 | 3.3 | 3.7 | - | - | - | 20.0 | 0.0 | 66.7 | - | 51.4 | 20.0 |
C. Standifer
|
G | 3 | 11.7 | 4.0 | 3.0 | 0.3 | 0.3 | 0.3 | 0.3 | 3.3 | 4.3 | - | - | - | 30.0 | 0.0 | 100.0 | - | 57.5 | 30.0 |
R. Boezeman
|
F | 3 | 14.7 | 4.0 | 2.0 | 0.3 | 0.3 | 0.0 | 0.3 | 2.0 | 4.3 | - | - | - | 50.0 | 50.0 | 0 | - | 100.0 | 58.3 |
S. Jones
|
G | 2 | 14.5 | 3.0 | 0.5 | 2.0 | 1.0 | 0.0 | 1.5 | 1.5 | 3.5 | -4 | -0.8 | -3.5 | 33.3 | 0 | 0 | 0.24 | 100.0 | 33.3 |
A. Larsson
|
F | 3 | 11.7 | 2.7 | 2.7 | 0.0 | 0.3 | 0.3 | 0.0 | 1.7 | 4.3 | - | - | - | 60.0 | 0 | 50.0 | - | 59.2 | 60.0 |
C. Thiero
|
F | 2 | 10.5 | 2.0 | 3.5 | 0.0 | 0.5 | 0.0 | 1.0 | 1.5 | 3.5 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
C. Gruber
|
F | 1 | 11.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
K. Acevado
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
C. Tang
|
G | 2 | 6.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
B. Wright
|
G | 2 | 2.5 | 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