UC Davis Aggies
2022 Team Stats (6 games)
63.3
PPG
62.3
Opp
+1.0
Margin
41.6%
FG%
30.4%
3P%
69.8%
FT%
38.2
RPG
13.8
APG
16.7
TO
78.6
Pace
Model Outputs
2021-2022
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 → | 1167 (#84) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1132 (#123) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.0 (#134) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.625 (#144) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-12-01 | @ | Oregon Ducks | W | 64 - 57 |
| 2021-12-13 | vs | Stanislaus State Warriors | W | 84 - 55 |
| 2021-12-15 | @ | Stanford Cardinal | L | 42 - 68 |
| 2021-12-28 | @ | UC Riverside Highlanders | - | Preview |
| 2022-03-03 | vs | Long Beach State Beach | L | 60 - 65 |
| 2022-03-09 | @ | Long Beach State Beach | W | 55 - 45 |
| 2022-03-11 | @ | UC Irvine Anteaters | L | 75 - 84 |
2022 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. Turner
|
G | 6 | 33.5 | 13.8 | 2.7 | 2.0 | 0.7 | 0.0 | 2.0 | 12.7 | 4.5 | 44 | 2.0 | 16.0 | 39.5 | 32.7 | 85.7 | 1.26 | 52.5 | 50.7 |
C. Hall
|
F | 6 | 35.2 | 12.5 | 9.2 | 2.7 | 1.3 | 0.3 | 3.0 | 12.7 | 10.3 | - | - | - | 32.9 | 20.8 | 64.5 | 0.49 | 41.8 | 36.2 |
S. Burns
|
G | 6 | 29.0 | 8.7 | 4.2 | 3.5 | 0.8 | 0.3 | 3.7 | 4.7 | 9.2 | -32 | -1.6 | -14.2 | 57.1 | 44.4 | 88.9 | 0.4 | 72.4 | 64.3 |
S. Stobbart
|
G | 6 | 28.0 | 8.3 | 6.7 | 1.5 | 0.8 | 1.3 | 2.5 | 8.3 | 7.8 | - | - | - | 40.0 | 28.6 | 54.5 | 0.31 | 45.6 | 44.0 |
K. Konrad
|
F | 6 | 31.5 | 8.2 | 5.8 | 2.2 | 0.7 | 0.2 | 1.0 | 7.0 | 9.0 | - | - | - | 50.0 | 18.8 | 44.4 | 0.84 | 53.3 | 53.6 |
L. Svanholm
|
F | 6 | 11.8 | 5.0 | 2.3 | 0.5 | 0.0 | 0.5 | 0.5 | 4.7 | 3.2 | 40 | 1.6 | 8.3 | 42.9 | 40.0 | 100.0 | 1.22 | 50.4 | 46.4 |
M. Langi
|
G | 3 | 10.0 | 3.7 | 1.7 | 0.0 | 0.3 | 0.0 | 1.0 | 3.0 | 1.7 | -5 | -0.4 | -2.4 | 44.4 | 42.9 | 0 | 0.47 | 61.1 | 61.1 |
B. Shine
|
F | 3 | 11.7 | 2.7 | 1.7 | 0.3 | 0.0 | 0.0 | 1.3 | 3.0 | 0.3 | -32 | -2.9 | -16.7 | 44.4 | 0.0 | 0 | 0.25 | 44.4 | 44.4 |
M. Harris
|
F | 5 | 9.4 | 2.0 | 1.4 | 0.2 | 0.0 | 0.0 | 0.4 | 0.8 | 2.4 | 40 | 1.7 | 8.1 | 75.0 | 66.7 | 100.0 | 1.32 | 102.5 | 100.0 |
M. Sanders
|
G | 4 | 5.5 | 1.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.8 | 0.2 | - | - | - | 28.6 | 50.0 | 0 | 0.35 | 42.9 | 42.9 |
K. Lilly
|
C | 2 | 6.0 | 1.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 1.5 | - | - | - | 50.0 | 0 | 0 | -0.51 | 50.0 | 50.0 |
C. Gray
|
G | 6 | 9.0 | 0.7 | 0.3 | 0.8 | 0.0 | 0.0 | 1.3 | 0.3 | 0.2 | 0 | 0.0 | 0.0 | 50.0 | 0 | 50.0 | 0.6 | 53.2 | 50.0 |
M. Jones
|
F | 2 | 5.5 | 0.0 | 0.0 | 0.5 | 0.5 | 1.5 | 1.0 | 0.5 | 1.0 | -24 | -3.0 | -23.3 | 0.0 | 0 | 0 | 0.01 | 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