Pepperdine
2024 Team Stats (33 games)
70.7
PPG
74.0
Opp
-1.2
Margin
45.3%
FG%
35.5%
3P%
70.2%
FT%
32.8
RPG
12.8
APG
10.8
TO
75.3
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 → | 863 (#564) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1016 (#277) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.1 (#202) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.140 (#113) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.411 (#233) | NetEff -3.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.115 (#108) | AdjNet -17.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.114 (#108) | AdjNet -17.7 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Ajayi
|
- | 33 | 34.7 | 17.2 | 9.9 | 1.9 | 0.9 | 0.5 | 2.0 | 13.4 | 15.0 | -10 | -0.5 | -1.9 | 46.7 | 47.0 | 70.9 | 0.25 | 55.3 | 51.1 |
J. Porter
|
- | 21 | 31.4 | 16.2 | 5.9 | 1.7 | 0.8 | 1.0 | 1.7 | 13.6 | 10.3 | -24 | -3.0 | -4.0 | 42.5 | 29.8 | 77.2 | -0.12 | 52.4 | 47.4 |
H. Mallette
|
- | 31 | 31.5 | 14.7 | 3.2 | 2.4 | 0.8 | 0.2 | 1.4 | 11.4 | 8.5 | -9 | -2.2 | -3.5 | 43.1 | 41.5 | 81.7 | -0.29 | 57.1 | 52.4 |
M. Moore
|
- | 33 | 27.6 | 8.8 | 2.0 | 1.9 | 0.5 | 0.1 | 1.2 | 7.6 | 4.5 | 12 | 2.0 | 2.7 | 40.8 | 36.2 | 82.0 | 0.02 | 53.5 | 50.0 |
Boubacar Coulibaly
|
- | 11 | 21.8 | 8.5 | 5.5 | 0.5 | 0.9 | 1.7 | 1.0 | 6.3 | 9.9 | - | - | - | 59.4 | 0 | 52.2 | - | 59.4 | 59.4 |
E. Anderson
|
- | 33 | 24.7 | 5.7 | 2.2 | 3.3 | 0.5 | 0.1 | 1.8 | 4.9 | 5.1 | 34 | 5.7 | 9.4 | 47.9 | 27.6 | 49.0 | 0.41 | 51.0 | 50.3 |
N. Cooper
|
- | 33 | 19.9 | 5.0 | 2.8 | 0.9 | 0.9 | 0.3 | 0.4 | 3.5 | 5.9 | 23 | 3.8 | 7.8 | 46.6 | 21.1 | 68.1 | 0.3 | 55.9 | 50.0 |
C. Stansberry
|
G | 32 | 12.0 | 4.1 | 1.2 | 0.8 | 0.2 | 0.0 | 0.9 | 3.1 | 2.3 | 13 | 0.7 | 5.9 | 48.5 | 37.3 | 68.0 | -0.27 | 60.0 | 58.1 |
J. Pitre
|
- | 21 | 16.5 | 4.0 | 3.4 | 0.6 | 0.5 | 0.4 | 1.1 | 3.5 | 4.3 | - | - | - | 46.6 | 25.0 | 52.6 | - | 51.6 | 50.7 |
Ej Williams
|
- | 23 | 6.1 | 1.7 | 0.5 | 0.2 | 0.1 | 0.0 | 0.3 | 1.3 | 1.0 | -23 | -2.3 | -10.5 | 46.7 | 30.8 | 61.5 | -0.08 | 56.0 | 53.3 |
D. Mager
|
- | 9 | 2.0 | 1.2 | 0.2 | 0.3 | 0.0 | 0.1 | 0.3 | 1.1 | 0.4 | 5 | 1.7 | 27.0 | 50.0 | 33.3 | 0 | 0.05 | 55.0 | 55.0 |
A. Gassama
|
- | 22 | 10.2 | 1.0 | 1.6 | 0.2 | 0.1 | 0.1 | 0.5 | 1.2 | 1.4 | 8 | 2.7 | 33.1 | 34.6 | 0 | 50.0 | 0.08 | 37.8 | 34.6 |
P. Jordan
|
- | 9 | 2.1 | 0.7 | 0.8 | 0.1 | 0.0 | 0.0 | 0.1 | 0.4 | 1.0 | 5 | 1.7 | 27.0 | 50.0 | 0.0 | 50.0 | 0.05 | 52.1 | 50.0 |
J. Squire
|
- | 14 | 4.4 | 0.3 | 0.9 | 0.2 | 0.1 | 0.1 | 0.3 | 0.4 | 0.9 | 59 | 3.7 | 80.5 | 40.0 | 0.0 | 0 | 0.16 | 40.0 | 40.0 |
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