UC Davis
2024 Team Stats (33 games)
71.2
PPG
68.1
Opp
+3.1
Margin
44.2%
FG%
33.6%
3P%
74.8%
FT%
33.4
RPG
12.5
APG
13.4
TO
77.5
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 → | 1174 (#111) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1154 (#160) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +21.3 (#185) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.636 (#27) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.562 (#148) | NetEff +2.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.243 (#94) | AdjNet -9.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.242 (#94) | AdjNet -9.9 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Pepper
|
- | 33 | 33.0 | 20.7 | 4.6 | 2.1 | 1.7 | 0.3 | 1.9 | 15.8 | 11.7 | 0 | 0.0 | 0.0 | 41.5 | 37.1 | 92.0 | -0.04 | 57.7 | 51.2 |
Ty Johnson
|
- | 32 | 30.6 | 17.8 | 3.7 | 3.2 | 1.8 | 0.1 | 2.9 | 13.2 | 10.4 | -20 | -2.5 | -5.3 | 44.3 | 32.1 | 77.1 | -0.21 | 55.3 | 48.5 |
K. Milling
|
- | 33 | 32.0 | 9.8 | 3.7 | 1.3 | 0.9 | 0.5 | 1.2 | 8.6 | 6.5 | -7 | -0.9 | -2.0 | 40.3 | 34.3 | 73.9 | 0.13 | 51.9 | 48.4 |
Leo Debruhl
|
- | 32 | 20.1 | 5.8 | 3.1 | 1.9 | 0.6 | 0.1 | 1.8 | 4.4 | 5.1 | -15 | -1.5 | -6.2 | 41.5 | 30.3 | 85.5 | 0.04 | 55.7 | 48.6 |
N. Rocak
|
- | 33 | 20.4 | 5.2 | 5.0 | 0.9 | 0.8 | 1.2 | 1.3 | 3.5 | 8.4 | 100 | 4.3 | 37.8 | 57.0 | 27.3 | 53.6 | 0.18 | 58.9 | 58.3 |
Adebayo, Ade
|
- | 29 | 24.0 | 3.9 | 3.0 | 1.3 | 0.9 | 0.4 | 1.2 | 2.8 | 5.6 | - | - | - | 48.1 | 27.8 | 69.8 | - | 56.5 | 51.2 |
P. Tamba
|
- | 31 | 13.8 | 3.3 | 2.9 | 0.8 | 0.5 | 0.4 | 0.5 | 2.3 | 5.1 | -3 | -0.4 | -2.6 | 48.6 | 27.3 | 54.0 | 0.03 | 54.9 | 52.9 |
F. Borra
|
- | 30 | 12.6 | 2.9 | 2.0 | 0.5 | 0.2 | 0.4 | 1.0 | 2.3 | 2.6 | -22 | -2.8 | -23.3 | 53.6 | 0.0 | 52.2 | -0.15 | 54.3 | 53.6 |
J. Mani
|
- | 5 | 5.4 | 2.0 | 0.4 | 0.2 | 0.0 | 0.2 | 0.8 | 2.0 | 0.0 | 5 | 2.5 | 36.7 | 40.0 | 40.0 | 0 | -0.0 | 50.0 | 50.0 |
Sione Lose
|
- | 29 | 13.8 | 1.6 | 1.5 | 0.7 | 0.4 | 0.2 | 0.9 | 1.4 | 2.1 | -19 | -2.4 | -16.7 | 46.3 | 33.3 | 33.3 | -0.28 | 51.2 | 52.4 |
Connor Sevilla
|
- | 22 | 7.0 | 1.5 | 0.5 | 0.3 | 0.1 | 0.0 | 0.5 | 1.3 | 0.6 | 6 | 0.3 | 11.5 | 41.4 | 16.7 | 100.0 | -0.04 | 52.1 | 46.6 |
S. Manu
|
- | 17 | 6.0 | 1.2 | 1.1 | 0.1 | 0.2 | 0.1 | 0.5 | 1.1 | 0.9 | 0 | 0.0 | 0.0 | 42.1 | 14.3 | 37.5 | -0.03 | 44.4 | 44.7 |
D. Carter
|
- | 9 | 2.4 | 1.2 | 0.2 | 0.1 | 0.1 | 0.0 | 0.1 | 0.7 | 0.9 | 0 | 0.0 | 0.0 | 66.7 | 100.0 | 0 | -0.01 | 91.7 | 91.7 |
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