Cal State Fullerton Titans
2022 Team Stats (4 games)
62.5
PPG
67.2
Opp
-4.7
Margin
39.8%
FG%
18.8%
3P%
79.3%
FT%
37.0
RPG
12.8
APG
16.5
TO
79.5
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 → | 1007 (#202) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1016 (#223) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.3 (#187) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.773 (#80) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-02-08 | vs | Long Beach State Beach | L | 53 - 63 |
| 2022-03-03 | @ | UC Riverside Highlanders | L | 59 - 62 |
| 2022-03-08 | vs | Cal Poly Mustangs | W | 70 - 64 |
| 2022-03-09 | @ | UC Irvine Anteaters | L | 68 - 80 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Wahinekapu
|
G | 4 | 31.2 | 16.0 | 5.0 | 3.2 | 1.8 | 0.0 | 4.2 | 10.2 | 11.5 | -61 | -2.8 | -22.3 | 43.9 | 27.8 | 85.2 | -0.11 | 60.5 | 50.0 |
A. Lewis
|
C | 4 | 27.2 | 11.2 | 8.8 | 0.5 | 0.8 | 1.0 | 1.5 | 10.8 | 10.0 | 17 | 0.8 | 8.5 | 37.2 | 0 | 72.2 | 0.04 | 44.2 | 37.2 |
C. Gill
|
F | 4 | 29.5 | 11.0 | 5.8 | 1.2 | 1.0 | 0.5 | 2.5 | 9.2 | 7.8 | 16 | 16.0 | 540.8 | 48.6 | 0.0 | 72.7 | 0.37 | 52.6 | 48.6 |
A. Hernandez
|
F | 3 | 14.0 | 8.7 | 2.3 | 0.7 | 0.3 | 0.7 | 1.3 | 7.0 | 4.3 | -2 | -0.1 | -0.5 | 57.1 | 0 | 100.0 | 0.98 | 59.4 | 57.1 |
G. Vidmar
|
G | 4 | 31.8 | 7.5 | 4.0 | 2.5 | 0.8 | 0.2 | 1.2 | 7.5 | 6.2 | -66 | -2.6 | -12.7 | 33.3 | 28.6 | 66.7 | 0.59 | 46.0 | 43.3 |
C. Rodarte
|
G | 1 | 8.0 | 6.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 7.0 | - | - | - | 0 | 0 | 100.0 | 0.28 | 113.6 | 0 |
B. Furch
|
G | 3 | 19.0 | 3.3 | 1.3 | 3.3 | 0.3 | 0.0 | 1.7 | 3.7 | 3.0 | -9 | -1.0 | -3.8 | 18.2 | 12.5 | 83.3 | 0.47 | 36.7 | 22.7 |
U. Jovanovic
|
G | 4 | 16.2 | 3.0 | 2.2 | 0.2 | 0.5 | 0.0 | 1.5 | 2.0 | 2.5 | -44 | -1.8 | -9.6 | 62.5 | 0.0 | 100.0 | 0.56 | 67.6 | 62.5 |
F. Nimmo
|
G | 1 | 32.0 | 2.0 | 3.0 | 2.0 | 2.0 | 0.0 | 5.0 | 6.0 | -2.0 | 11 | 0.5 | 2.9 | 0.0 | 0 | 100.0 | 0.63 | 14.5 | 0.0 |
K. Neff
|
F | 4 | 19.0 | 1.8 | 2.2 | 0.8 | 0.5 | 1.5 | 1.0 | 3.0 | 2.8 | -102 | -5.4 | -30.3 | 25.0 | 10.0 | 0.0 | -0.38 | 27.2 | 29.2 |
R. MacDonald
|
F | 3 | 13.7 | 1.3 | 1.7 | 1.0 | 0.3 | 0.3 | 0.3 | 2.3 | 2.0 | -32 | -3.2 | -22.4 | 28.6 | 0.0 | 0 | 0.14 | 28.6 | 28.6 |
E. De Vera
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -0.2 | 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