UC Riverside
2018 Team Stats (2 games)
66.5
PPG
58.3
Opp
+11.0
Margin
47.1%
FG%
29.5%
3P%
66.7%
FT%
35.0
RPG
13.5
APG
12.0
TO
70.9
Pace
Model Outputs
2017-2018
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 → | 1138 (#225) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1183 (#221) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.2 (#226) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.883 (#5) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.600 (#57) | AdjNet +3.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.605 (#57) | AdjNet +3.7 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-11-22 | vs | Western New Mexico Mustangs | W | 75 - 57 |
| 2017-12-08 | vs | Air Force Falcons | W | 67 - 48 |
| 2018-03-08 | @ | UC Davis Aggies | L | 66 - 70 |
2018 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. Murray
|
G | 3 | 36.0 | 17.0 | 5.3 | 4.7 | 3.0 | 0.3 | 2.3 | 10.0 | 18.0 | - | - | - | 46.7 | 23.1 | 60.0 | - | 74.1 | 51.7 |
D. Martin
|
G | 3 | 32.0 | 14.3 | 2.7 | 2.3 | 0.7 | 0.0 | 2.0 | 6.3 | 11.7 | - | - | - | 63.2 | 75.0 | 100.0 | - | 101.4 | 78.9 |
A. Larsson
|
F | 3 | 26.3 | 9.7 | 5.0 | 1.0 | 1.0 | 1.0 | 3.7 | 3.0 | 11.0 | - | - | - | 66.7 | 0 | 37.5 | - | 115.8 | 66.7 |
B. Rosser
|
F | 3 | 27.7 | 7.7 | 4.7 | 2.0 | 0.0 | 1.3 | 0.7 | 3.3 | 11.7 | - | - | - | 50.0 | 0.0 | 66.7 | - | 91.0 | 50.0 |
D. Sylvester
|
G | 2 | 22.5 | 7.0 | 5.0 | 1.5 | 1.0 | 0.0 | 3.0 | 2.5 | 9.0 | - | - | - | 20.0 | 0.0 | 0 | - | 140.0 | 20.0 |
M. Dijkstra
|
C | 3 | 17.0 | 5.3 | 5.3 | 0.3 | 0.3 | 1.3 | 0.3 | 4.0 | 8.3 | - | - | - | 50.0 | 33.3 | 0 | - | 66.7 | 58.3 |
J. Jackson
|
F | 3 | 8.3 | 3.7 | 2.3 | 0.3 | 0.0 | 0.3 | 0.0 | 1.7 | 5.0 | 10 | 0.7 | 1.0 | 60.0 | 50.0 | 80.0 | 0.86 | 76.4 | 70.0 |
K. Flippin
|
G | 3 | 16.7 | 3.3 | 2.3 | 0.7 | 3.0 | 0.7 | 0.3 | 2.3 | 7.3 | - | - | - | 0.0 | 0.0 | 100.0 | - | 63.5 | 0.0 |
A. Kennedy
|
F | 2 | 8.0 | 2.0 | 2.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 3.5 | - | - | - | 0.0 | 0.0 | 0 | - | 200.0 | 0.0 |
R. Pierce
|
G | 1 | 4.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
D. Pickett
|
G | 2 | 6.5 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
J. Brown
|
G | 2 | 5.5 | 1.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | -21 | -1.8 | -3.8 | 0.0 | 0.0 | 0 | 0.17 | 100.0 | 0.0 |
I. Diallo
|
C | 2 | 7.5 | 0.0 | 2.5 | 0.5 | 0.0 | 1.0 | 2.0 | 1.0 | 1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
A. Hickman
|
G | 1 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 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