Pepperdine
2018 Team Stats (3 games)
62.3
PPG
81.7
Opp
-19.4
Margin
42.0%
FG%
38.0%
3P%
70.3%
FT%
30.3
RPG
11.7
APG
10.0
TO
71.8
Pace
Model Outputs
2017-2018
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 → | 983 (#400) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1176 (#226) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.2 (#225) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.031 (#101) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.233 (#88) | AdjNet -10.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.233 (#88) | AdjNet -10.2 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-01-04 | vs | Gonzaga Bulldogs | L | 59 - 89 |
| 2018-02-17 | @ | Gonzaga Bulldogs | L | 67 - 81 |
| 2018-02-22 | @ | Saint Mary's Gaels | L | 61 - 75 |
2018 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. Cooper Jr.
|
G | 2 | 26.0 | 13.5 | 1.0 | 2.0 | 0.5 | 0.0 | 1.0 | 11.5 | 4.5 | 69 | 6.9 | 36.3 | 43.5 | 38.5 | 100.0 | 1.02 | 56.5 | 54.3 |
C. Ross
|
G | 3 | 31.7 | 13.0 | 3.0 | 5.0 | 0.3 | 0.3 | 2.7 | 10.3 | 8.7 | - | - | - | 51.6 | 33.3 | 62.5 | 0.69 | 56.5 | 54.8 |
T. Berhow
|
G | 3 | 31.0 | 9.7 | 4.7 | 0.7 | 0.7 | 0.0 | 1.0 | 8.0 | 6.7 | - | - | - | 45.8 | 40.0 | 75.0 | - | 56.3 | 54.2 |
K. Edwards
|
F | 2 | 30.0 | 8.5 | 7.0 | 1.0 | 0.0 | 0.0 | 1.0 | 10.0 | 5.5 | -12 | -1.5 | -8.7 | 35.0 | 100.0 | 33.3 | -0.23 | 39.9 | 40.0 |
D. Dunn
|
F | 3 | 21.0 | 7.7 | 2.3 | 0.3 | 0.3 | 0.3 | 1.0 | 6.7 | 3.3 | - | - | - | 40.0 | 0.0 | 87.5 | 0.24 | 48.9 | 40.0 |
K. Hellums
|
G | 3 | 13.0 | 6.3 | 1.0 | 0.0 | 0.0 | 0.7 | 0.0 | 4.0 | 4.0 | - | - | - | 50.0 | 55.6 | 100.0 | - | 73.8 | 70.8 |
K. Yee-Stephens
|
G | 1 | 9.0 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 5.0 | 1.0 | - | - | - | 60.0 | 0 | 0 | - | 60.0 | 60.0 |
M. Atewe
|
F | 3 | 21.7 | 3.0 | 7.0 | 0.0 | 0.7 | 1.0 | 1.0 | 4.7 | 6.0 | - | - | - | 28.6 | 0 | 50.0 | - | 30.2 | 28.6 |
A. Udenyi
|
G | 3 | 16.3 | 3.0 | 0.3 | 3.0 | 0.3 | 0.0 | 0.3 | 3.0 | 3.3 | - | - | - | 33.3 | 16.7 | 100.0 | - | 45.5 | 38.9 |
J. Smith
|
G | 3 | 11.3 | 3.0 | 1.3 | 0.3 | 0.7 | 0.7 | 0.3 | 2.7 | 3.0 | 31 | 2.2 | 3.4 | 37.5 | 0 | 75.0 | 1.2 | 46.1 | 37.5 |
Eric Lee
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
N. Taylor
|
F | 1 | 13.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0.0 | - | 0.0 | 0 |
K. Hempy
|
F | 2 | 4.5 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
H. Meads
|
F | 1 | 17.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 | -4.0 | - | - | - | 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