California Baptist Lancers
2023 Team Stats (4 games)
69.5
PPG
69.8
Opp
-0.3
Margin
39.8%
FG%
24.8%
3P%
66.7%
FT%
33.3
RPG
17.0
APG
14.8
TO
84.6
Pace
Model Outputs
2022-2023
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 → | 1034 (#189) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1087 (#163) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.8 (#170) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.547 (#169) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | vs | Idaho State Bengals | L | 55 - 61 |
| 2023-03-08 | vs | Utah Tech Trailblazers | W | 81 - 72 |
| 2023-03-10 | @ | Stephen F. Austin Ladyjacks | W | 69 - 64 |
| 2023-03-11 | @ | Southern Utah Thunderbirds | L | 73 - 82 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Webb
|
G | 4 | 21.5 | 17.2 | 3.8 | 1.5 | 2.2 | 0.0 | 1.8 | 11.0 | 12.0 | - | - | - | 52.3 | 33.3 | 65.4 | - | 62.2 | 59.1 |
G. Schmidt
|
F | 4 | 26.2 | 12.2 | 3.8 | 0.2 | 0.0 | 0.2 | 1.5 | 9.0 | 6.0 | - | - | - | 55.6 | 22.2 | 63.6 | - | 60.0 | 58.3 |
L. Finau
|
G | 4 | 28.8 | 12.0 | 3.5 | 3.2 | 2.8 | 0.2 | 3.5 | 10.0 | 8.2 | - | - | - | 40.0 | 32.0 | 66.7 | - | 53.0 | 50.0 |
D. Wu
|
G | 4 | 17.5 | 7.5 | 3.2 | 1.0 | 0.2 | 0.8 | 1.0 | 6.2 | 5.5 | - | - | - | 44.0 | 38.1 | 0 | - | 60.0 | 60.0 |
B. Klaman
|
G | 4 | 32.5 | 5.8 | 2.0 | 5.0 | 0.8 | 0.2 | 2.2 | 7.0 | 4.5 | - | - | - | 25.0 | 19.0 | 83.3 | - | 37.5 | 32.1 |
F. Barros
|
G | 4 | 24.8 | 5.5 | 2.8 | 3.2 | 1.2 | 0.2 | 0.5 | 6.0 | 6.5 | - | - | - | 33.3 | 23.5 | 100.0 | - | 44.2 | 41.7 |
K. Barrington
|
F | 4 | 17.0 | 4.0 | 3.0 | 0.0 | 0.5 | 1.0 | 0.5 | 4.5 | 3.5 | - | - | - | 38.9 | 11.1 | 50.0 | - | 42.4 | 41.7 |
T. San Antonio
|
G | 4 | 21.8 | 4.0 | 6.0 | 2.5 | 2.2 | 0.0 | 3.2 | 6.2 | 5.2 | - | - | - | 24.0 | 0.0 | 50.0 | - | 28.1 | 24.0 |
N. Calhoun
|
G | 1 | 21.0 | 2.0 | 3.0 | 1.0 | 3.0 | 0.0 | 0.0 | 4.0 | 5.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 20.5 | 0.0 |
T. Neale
|
G | 4 | 4.8 | 0.8 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 1.2 | -0.2 | - | - | - | 20.0 | 33.3 | 0 | - | 30.0 | 30.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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