UC Riverside
2024 Team Stats (34 games)
70.7
PPG
72.0
Opp
-1.3
Margin
39.7%
FG%
31.7%
3P%
71.7%
FT%
36.9
RPG
13.1
APG
9.6
TO
79.8
Pace
Model Outputs
2023-2024
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 → | 1023 (#239) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1095 (#214) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.3 (#240) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.292 (#93) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.438 (#209) | NetEff -2.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.109 (#109) | AdjNet -18.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.106 (#110) | AdjNet -18.4 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Griscti
|
NA | 1 | 21.0 | 14.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 12.0 | 3.0 | 11 | 1.4 | 5.8 | 41.7 | 42.9 | 50.0 | 0.08 | 54.3 | 54.2 |
B. Hargress
|
- | 34 | 31.6 | 12.6 | 3.1 | 4.5 | 1.3 | 0.1 | 1.4 | 11.6 | 8.6 | 19 | 2.4 | 5.1 | 41.1 | 31.1 | 67.3 | 0.22 | 48.5 | 45.2 |
Isaiah Moses
|
- | 33 | 29.8 | 12.2 | 2.9 | 3.8 | 0.9 | 0.0 | 2.2 | 10.3 | 7.3 | 13 | 1.9 | 6.0 | 39.9 | 32.9 | 84.6 | 0.19 | 52.6 | 47.5 |
N. Pickens
|
- | 34 | 27.2 | 9.3 | 3.6 | 2.0 | 0.9 | 0.4 | 1.3 | 7.7 | 7.3 | 30 | 3.8 | 8.8 | 36.8 | 32.4 | 76.1 | 0.32 | 50.7 | 43.7 |
K. Owens
|
- | 31 | 20.6 | 8.8 | 5.5 | 0.5 | 0.3 | 0.0 | 0.4 | 7.0 | 7.6 | 26 | 5.2 | 19.4 | 42.9 | 33.8 | 70.6 | 0.16 | 53.7 | 49.1 |
K. Smith
|
- | 34 | 19.1 | 7.5 | 4.4 | 0.4 | 0.5 | 0.0 | 0.9 | 7.1 | 4.8 | 16 | 2.0 | 5.4 | 39.2 | 36.4 | 51.9 | 0.11 | 48.5 | 47.5 |
V. Salaridze
|
F | 33 | 11.7 | 4.2 | 2.5 | 0.4 | 0.5 | 0.2 | 0.7 | 3.5 | 3.6 | 13 | 1.6 | 8.3 | 42.6 | 30.8 | 76.7 | 0.28 | 53.4 | 49.6 |
W. Tattersall
|
- | 34 | 19.0 | 3.7 | 2.5 | 0.7 | 0.3 | 0.1 | 0.5 | 4.1 | 2.7 | 9 | 1.1 | 6.9 | 34.1 | 22.9 | 65.2 | -0.13 | 42.2 | 39.9 |
Jhaylon Martinez
|
C | 32 | 9.7 | 2.5 | 2.2 | 0.2 | 0.1 | 0.1 | 0.5 | 2.4 | 2.1 | -12 | -1.7 | -20.4 | 35.9 | 12.5 | 73.3 | -0.16 | 43.3 | 36.5 |
L. Turner
|
- | 29 | 12.1 | 2.3 | 1.9 | 0.6 | 0.2 | 0.0 | 0.3 | 3.2 | 1.4 | 10 | 1.4 | 10.3 | 25.0 | 18.5 | 61.5 | 0.05 | 33.8 | 31.5 |
N. Olabode
|
- | 26 | 10.0 | 2.1 | 2.0 | 0.2 | 0.4 | 0.0 | 0.2 | 1.8 | 2.7 | 5 | 1.0 | 2.9 | 35.4 | 37.0 | 68.8 | 0.11 | 50.0 | 45.8 |
C. Bird
|
- | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Jayden Mojica
|
- | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 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