UC Davis Aggies
2019 Team Stats (6 games)
62.8
PPG
60.7
Opp
+2.1
Margin
38.2%
FG%
29.8%
3P%
72.9%
FT%
34.5
RPG
11.8
APG
12.0
TO
75.7
Pace
Model Outputs
2018-2019
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 → | 1242 (#78) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1205 (#99) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.9 (#111) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.712 (#118) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-07 | @ | Stanford Cardinal | L | 43 - 71 |
| 2018-11-27 | @ | Loyola Marymount Lions | L | 53 - 60 |
| 2019-03-06 | vs | Cal Poly Mustangs | W | 87 - 54 |
| 2019-03-15 | vs | UC Irvine Anteaters | W | 82 - 50 |
| 2019-03-16 | vs | Hawai'i Rainbow Wahine | W | 58 - 50 |
| 2019-03-23 | @ | Stanford Cardinal | L | 54 - 79 |
2019 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. Bertsch
|
- | 6 | 30.7 | 22.3 | 5.3 | 1.5 | 1.0 | 1.0 | 2.2 | 16.8 | 12.2 | - | - | - | 41.6 | 42.9 | 81.5 | 1.34 | 53.7 | 44.6 |
N. Bessolo
|
F | 6 | 20.3 | 9.3 | 3.7 | 0.5 | 1.5 | 0.3 | 1.5 | 7.5 | 6.3 | - | - | - | 37.8 | 30.0 | 76.5 | 0.19 | 53.4 | 47.8 |
C. Hall
|
F | 6 | 26.0 | 6.7 | 6.5 | 2.0 | 0.7 | 0.5 | 1.8 | 7.3 | 7.2 | - | - | - | 38.6 | 9.1 | 45.5 | 1.43 | 41.0 | 39.8 |
K. Eaton
|
G | 6 | 30.5 | 5.2 | 3.2 | 2.7 | 1.0 | 0.0 | 2.3 | 6.0 | 3.7 | - | - | - | 27.8 | 20.0 | 60.0 | 1.62 | 38.4 | 34.7 |
K. Eaton
|
G | 6 | 25.8 | 4.3 | 2.0 | 2.8 | 1.5 | 0.2 | 0.7 | 3.7 | 6.5 | - | - | - | 36.4 | 31.2 | 71.4 | 1.62 | 51.8 | 47.7 |
S. Stobbart
|
G | 6 | 12.8 | 3.8 | 3.7 | 0.2 | 0.0 | 0.7 | 1.0 | 2.8 | 4.5 | - | - | - | 52.9 | 71.4 | 0.0 | -0.4 | 64.3 | 67.6 |
S. Song
|
F | 6 | 19.8 | 3.7 | 1.7 | 0.8 | 0.3 | 0.2 | 0.3 | 3.3 | 3.0 | - | - | - | 30.0 | 21.4 | 87.5 | 1.46 | 46.8 | 37.5 |
C. McKeown
|
G | 4 | 10.0 | 3.2 | 0.2 | 0.5 | 0.8 | 0.0 | 0.2 | 3.2 | 1.2 | - | - | - | 30.8 | 44.4 | 50.0 | 0.01 | 46.8 | 46.2 |
K. Toole
|
G | 5 | 9.0 | 2.4 | 0.8 | 0.2 | 0.0 | 0.0 | 0.6 | 1.6 | 1.2 | - | - | - | 50.0 | 0 | 100.0 | -0.17 | 61.5 | 50.0 |
M. Sanders
|
G | 3 | 4.3 | 2.0 | 1.7 | 0.3 | 0.0 | 0.0 | 0.7 | 1.7 | 1.7 | - | - | - | 40.0 | 50.0 | 33.3 | -1.25 | 47.5 | 50.0 |
K. Konrad
|
F | 6 | 14.5 | 1.3 | 2.5 | 0.7 | 0.2 | 0.2 | 0.3 | 2.3 | 2.2 | - | - | - | 28.6 | 0.0 | 0 | 1.11 | 28.6 | 28.6 |
E. Gibb
|
F | 2 | 4.0 | 1.0 | 0.5 | 0.0 | 0.0 | 1.0 | 0.0 | 1.5 | 1.0 | - | - | - | 33.3 | 0 | 0 | -1.42 | 33.3 | 33.3 |
K. Hsu
|
G | 4 | 2.2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.0 | - | - | - | 100.0 | 0 | 0 | -1.35 | 100.0 | 100.0 |
B. Nguyen
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | -0.38 | 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