UC Irvine Anteaters
2022 Team Stats (4 games)
69.8
PPG
63.6
Opp
+5.6
Margin
36.5%
FG%
28.2%
3P%
75.8%
FT%
37.8
RPG
10.0
APG
10.3
TO
81.0
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 → | 1329 (#13) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1293 (#39) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.3 (#92) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.913 (#29) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-02-15 | vs | UC San Diego Tritons | W | 67 - 50 |
| 2022-03-03 | vs | Cal Poly Mustangs | W | 67 - 66 |
| 2022-03-09 | vs | Cal State Fullerton Titans | W | 80 - 68 |
| 2022-03-11 | vs | UC Davis Aggies | W | 84 - 75 |
| 2022-03-12 | @ | Hawai'i Rainbow Wahine | L | 48 - 59 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Williams
|
G | 5 | 38.0 | 19.8 | 5.0 | 4.2 | 1.8 | 0.2 | 4.0 | 18.4 | 8.6 | 36 | 1.7 | 10.4 | 37.0 | 23.8 | 65.6 | 0.47 | 46.7 | 42.4 |
J. Cadee
|
G | 5 | 24.8 | 9.0 | 2.8 | 1.0 | 0.0 | 0.0 | 0.4 | 7.0 | 5.4 | - | - | - | 34.3 | 35.7 | 84.6 | 1.49 | 55.3 | 48.6 |
N. Hunt
|
F | 5 | 22.2 | 8.4 | 3.4 | 0.6 | 0.4 | 0.6 | 0.4 | 8.8 | 4.2 | - | - | - | 29.5 | 33.3 | 66.7 | 0.32 | 42.6 | 38.6 |
C. Webb
|
G | 3 | 21.0 | 8.3 | 5.7 | 1.0 | 1.0 | 0.0 | 1.3 | 9.0 | 5.7 | - | - | - | 33.3 | 12.5 | 75.0 | 0.23 | 41.0 | 35.2 |
S. Locandro
|
F | 5 | 29.0 | 7.6 | 7.2 | 0.8 | 1.2 | 1.0 | 1.2 | 7.0 | 9.6 | - | - | - | 45.7 | 25.0 | 71.4 | 0.04 | 49.9 | 47.1 |
Hu. Hernandez
|
G | 5 | 18.4 | 6.4 | 3.8 | 0.6 | 0.2 | 0.4 | 0.8 | 3.6 | 7.0 | -24 | -1.0 | -5.4 | 55.6 | 60.0 | 100.0 | 0.19 | 72.9 | 63.9 |
N. Tom
|
G | 5 | 27.0 | 4.4 | 3.4 | 1.6 | 2.2 | 0.0 | 0.6 | 4.2 | 6.8 | 10 | 0.5 | 2.1 | 33.3 | 26.7 | 80.0 | 0.55 | 47.4 | 42.9 |
O. Williams
|
G | 5 | 14.4 | 3.4 | 2.6 | 0.6 | 0.6 | 0.2 | 0.4 | 3.8 | 3.2 | 28 | 1.3 | 9.6 | 31.6 | 11.1 | 100.0 | 1.04 | 40.9 | 34.2 |
C. Kaupu
|
F | 5 | 3.8 | 2.2 | 1.2 | 0.8 | 0.0 | 0.0 | 0.0 | 1.4 | 2.8 | 26 | 1.3 | 5.9 | 42.9 | 100.0 | 100.0 | 0.55 | 62.8 | 50.0 |
M. Kapinga
|
C | 3 | 2.0 | 0.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 27 | 1.4 | 8.7 | 0 | 0 | 0 | 0.65 | 0 | 0 |
A. Scharpf
|
G | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | 0.72 | 0 | 0 |
D. Lee
|
G | 5 | 4.2 | 0.0 | 0.4 | 0.0 | 0.4 | 0.0 | 0.6 | 0.2 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | 0.88 | 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