UC Santa Barbara Gauchos
2022 Team Stats (2 games)
52.5
PPG
48.5
Opp
+4.0
Margin
39.8%
FG%
33.3%
3P%
64.5%
FT%
40.0
RPG
9.0
APG
20.0
TO
75.8
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 → | 1166 (#86) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1223 (#66) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.9 (#128) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.888 (#42) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-03-01 | @ | Cal State Northridge Matadors | W | 63 - 51 |
| 2022-03-09 | @ | UC Riverside Highlanders | L | 42 - 46 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Tucker
|
G | 2 | 32.5 | 18.5 | 8.5 | 0.0 | 2.0 | 0.0 | 3.0 | 14.0 | 12.0 | -76 | -5.1 | -24.9 | 42.9 | 33.3 | 70.6 | 0.38 | 52.1 | 44.6 |
D. Miller
|
G | 2 | 39.0 | 12.0 | 3.0 | 2.5 | 1.5 | 0.0 | 2.5 | 12.0 | 4.5 | - | - | - | 33.3 | 37.5 | 83.3 | 0.58 | 45.0 | 39.6 |
I. Lane
|
C | 2 | 30.0 | 11.0 | 8.0 | 0.5 | 1.0 | 0.5 | 4.5 | 9.0 | 7.5 | - | - | - | 61.1 | 0 | 0 | 0.11 | 61.1 | 61.1 |
M. Anderson
|
F | 2 | 16.5 | 3.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.5 | 3.0 | 1.5 | -28 | -28.0 | -109.1 | 33.3 | 33.3 | 0 | 0.38 | 50.0 | 50.0 |
T. Mole
|
F | 2 | 15.0 | 2.5 | 3.0 | 0.5 | 1.5 | 1.0 | 0.5 | 3.5 | 4.5 | - | - | - | 28.6 | 33.3 | 0 | 0.49 | 35.7 | 35.7 |
A. Choice
|
G | 2 | 18.5 | 2.0 | 2.0 | 1.0 | 0.5 | 0.0 | 2.5 | 3.0 | 0.0 | 24 | 1.2 | 6.6 | 33.3 | 0.0 | 0.0 | 0.84 | 29.1 | 33.3 |
K. Johnson
|
G | 2 | 8.5 | 2.0 | 4.0 | 0.5 | 0.0 | 0.5 | 0.0 | 1.5 | 5.5 | -86 | -4.3 | -30.1 | 33.3 | 0 | 50.0 | 0.85 | 42.0 | 33.3 |
L. Lee
|
G | 2 | 15.5 | 1.5 | 2.5 | 0.0 | 0.0 | 0.0 | 1.5 | 0.5 | 2.0 | 53 | 3.5 | 18.9 | 100.0 | 0 | 50.0 | 1.02 | 79.8 | 100.0 |
J. Gonzalez
|
G | 2 | 19.5 | 0.0 | 3.5 | 3.0 | 0.0 | 0.0 | 2.5 | 2.0 | 2.0 | -44 | -3.1 | -27.5 | 0.0 | 0 | 0 | -0.53 | 0.0 | 0.0 |
T. Modawar
|
F | 1 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | 0.56 | 0 | 0 |
A. Marin
|
G | 2 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | -1.0 | 20 | 2.0 | 14.8 | 0.0 | 0 | 0 | 0.3 | 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