UC Irvine
2023 Team Stats (24 games)
72.7
PPG
68.3
Opp
+4.0
Margin
45.7%
FG%
36.6%
3P%
75.3%
FT%
35.5
RPG
14.5
APG
12.0
TO
77.8
Pace
Model Outputs
2022-2023
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 → | 1294 (#63) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1300 (#83) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.6 (#95) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.646 (#24) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.669 (#73) | NetEff +6.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.499 (#67) | AdjNet -0.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.497 (#67) | AdjNet -0.1 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DJ Davis
|
- | 20 | 29.4 | 16.2 | 2.0 | 1.3 | 0.9 | 0.0 | 1.6 | 13.1 | 5.8 | 28 | 2.8 | 5.1 | 39.5 | 38.3 | 89.7 | 1.05 | 55.7 | 50.4 |
D. Baker
|
- | 23 | 28.0 | 15.7 | 3.0 | 1.4 | 1.0 | 0.0 | 1.7 | 10.7 | 8.6 | 2 | 0.2 | 0.3 | 45.9 | 38.8 | 83.7 | 0.91 | 63.4 | 52.2 |
Bent Leuchten
|
- | 15 | 18.8 | 8.2 | 4.7 | 0.7 | 0.4 | 0.5 | 1.3 | 5.3 | 8.1 | - | - | - | 55.7 | 38.1 | 72.0 | - | 68.3 | 60.8 |
D. Tillis
|
- | 21 | 23.2 | 7.3 | 6.7 | 1.1 | 0.9 | 0.0 | 1.1 | 5.1 | 9.7 | -13 | -1.2 | -2.0 | 53.7 | 43.6 | 85.0 | 0.46 | 65.5 | 61.6 |
Justin Hohn
|
- | 23 | 16.0 | 6.1 | 2.1 | 1.5 | 0.9 | 0.2 | 1.4 | 5.5 | 3.9 | - | - | - | 31.5 | 30.3 | 82.4 | - | 52.1 | 39.4 |
Dean Keeler
|
- | 23 | 16.1 | 5.0 | 3.2 | 0.5 | 0.3 | 0.8 | 0.4 | 2.7 | 6.8 | - | - | - | 65.6 | 0 | 70.0 | - | 78.2 | 65.6 |
Pierre Crockrell Ii
|
- | 23 | 23.7 | 4.8 | 1.8 | 5.0 | 1.1 | 0.0 | 1.8 | 5.0 | 6.0 | - | - | - | 43.0 | 0 | 16.7 | - | 47.6 | 43.0 |
JC Butler
|
- | 23 | 12.1 | 3.7 | 1.3 | 0.4 | 0.3 | 0.0 | 0.7 | 2.8 | 2.3 | 1 | 0.1 | 0.2 | 42.2 | 38.7 | 53.8 | 0.56 | 60.2 | 51.6 |
A. Henry
|
- | 23 | 12.7 | 3.0 | 2.1 | 0.7 | 0.6 | 0.2 | 0.6 | 2.7 | 3.2 | -44 | -3.7 | -7.0 | 42.9 | 23.5 | 38.5 | -0.1 | 49.5 | 46.0 |
A. McBirney-Griffin
|
- | 19 | 9.1 | 2.3 | 2.1 | 0.5 | 0.1 | 0.4 | 0.5 | 1.5 | 3.3 | 1 | 0.1 | 0.6 | 58.6 | 0.0 | 60.0 | 0.07 | 60.4 | 58.6 |
C. Hutchison
|
- | 17 | 9.2 | 2.1 | 1.9 | 0.2 | 0.2 | 0.1 | 0.5 | 1.5 | 2.5 | - | - | - | 68.0 | 0 | 0.0 | - | 66.5 | 68.0 |
Ofure Ujadughele
|
- | 23 | 12.7 | 2.0 | 3.0 | 1.1 | 0.7 | 0.0 | 0.6 | 1.6 | 4.6 | - | - | - | 36.1 | 0.0 | 76.0 | - | 47.9 | 36.1 |
E. Butkus
|
- | 7 | 1.4 | 1.9 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.9 | 1.0 | - | - | - | 83.3 | 50.0 | 0 | - | 108.3 | 91.7 |
H. Welling
|
F | 13 | 5.2 | 1.0 | 1.3 | 0.0 | 0.0 | 0.1 | 0.3 | 1.0 | 1.1 | -26 | -2.4 | -4.7 | 30.8 | 0 | 62.5 | 0.53 | 39.3 | 30.8 |
L. Redfield
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
E. Chol
|
- | 7 | 2.1 | 0.0 | 0.4 | 0.0 | 0.0 | 0.1 | 0.0 | 0.3 | 0.3 | 47 | 5.2 | 8.2 | 0.0 | 0 | 0 | 1.34 | 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