UC Irvine
2024 Team Stats (34 games)
77.6
PPG
68.3
Opp
+9.3
Margin
47.5%
FG%
34.9%
3P%
75.3%
FT%
37.9
RPG
15.6
APG
11.6
TO
80.1
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 → | 1267 (#61) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1294 (#65) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.2 (#90) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.571 (#43) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.775 (#32) | NetEff +11.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.306 (#86) | AdjNet -7.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.303 (#86) | AdjNet -7.2 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Justin Hohn
|
- | 34 | 27.2 | 12.6 | 2.9 | 1.5 | 0.9 | 0.0 | 1.4 | 10.1 | 6.4 | 45 | 4.1 | 20.7 | 44.9 | 37.7 | 67.4 | 0.08 | 56.0 | 53.8 |
A. Henry
|
- | 34 | 26.7 | 10.3 | 3.7 | 0.9 | 0.8 | 0.1 | 0.8 | 7.8 | 7.3 | -24 | -1.1 | -11.2 | 45.7 | 42.1 | 78.2 | -0.07 | 58.6 | 54.7 |
D. Saran
|
G | 31 | 19.1 | 10.1 | 3.4 | 1.6 | 0.9 | 0.1 | 1.2 | 7.9 | 7.0 | -8 | -0.9 | -3.9 | 50.2 | 34.9 | 80.0 | -0.06 | 57.2 | 53.3 |
D. Tillis
|
- | 33 | 23.0 | 9.7 | 6.1 | 1.9 | 0.7 | 0.0 | 1.2 | 6.6 | 10.5 | 64 | 7.1 | 34.6 | 55.8 | 34.7 | 75.4 | 0.2 | 64.5 | 61.5 |
Bent Leuchten
|
- | 28 | 16.5 | 9.0 | 4.6 | 0.7 | 0.5 | 1.1 | 0.8 | 6.0 | 9.1 | 39 | 3.5 | 24.5 | 48.5 | 22.0 | 79.6 | 0.0 | 59.2 | 51.2 |
Pierre Crockrell Ii
|
- | 34 | 26.4 | 8.0 | 1.8 | 6.4 | 1.0 | 0.0 | 2.1 | 7.7 | 7.4 | 82 | 9.1 | 30.9 | 49.4 | 33.3 | 70.6 | 0.09 | 50.5 | 49.6 |
Carter Welling
|
F | 30 | 13.9 | 7.0 | 3.6 | 0.5 | 0.2 | 1.0 | 0.8 | 4.3 | 7.2 | - | - | - | 50.4 | 30.0 | 76.5 | - | 60.7 | 51.6 |
Dean Keeler
|
- | 34 | 14.8 | 5.9 | 4.9 | 0.4 | 0.3 | 1.0 | 0.9 | 4.1 | 7.4 | 4 | 0.4 | 3.4 | 53.2 | 0 | 65.4 | 0.05 | 57.4 | 53.2 |
Dylan Thoerner
|
- | 34 | 10.7 | 3.8 | 0.9 | 0.3 | 0.3 | 0.1 | 0.4 | 3.2 | 1.7 | 10 | 1.1 | 9.6 | 32.1 | 32.1 | 91.4 | 0.13 | 51.8 | 44.5 |
A. McBirney-Griffin
|
- | 1 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
Ofure Ujadughele
|
- | 34 | 11.9 | 1.9 | 2.8 | 0.9 | 0.8 | 0.0 | 0.6 | 1.6 | 4.1 | 12 | 1.3 | 11.1 | 36.4 | 22.2 | 71.9 | 0.03 | 47.0 | 38.2 |
H. Welling
|
F | 31 | 6.6 | 1.7 | 1.2 | 0.0 | 0.1 | 0.2 | 0.3 | 1.5 | 1.3 | 2 | 0.2 | 1.5 | 50.0 | 0.0 | 66.7 | -0.06 | 52.0 | 50.0 |
L. Redfield
|
- | 34 | 12.1 | 1.4 | 1.1 | 0.8 | 0.2 | 0.1 | 0.7 | 1.6 | 1.3 | 10 | 1.1 | 14.4 | 33.3 | 23.1 | 83.3 | -0.01 | 41.5 | 38.9 |
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