Long Beach State Beach
2024 Team Stats (5 games)
70.2
PPG
77.2
Opp
-7.0
Margin
40.2%
FG%
26.4%
3P%
67.0%
FT%
39.4
RPG
12.8
APG
21.0
TO
93.7
Pace
Model Outputs
2023-2024
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 → | 817 (#337) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 754 (#355) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.7 (#370) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.013 (#402) | - |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-27 | @ | Pepperdine Waves | W | 68 - 53 |
| 2023-12-06 | @ | Texas Longhorns | L | 62 - 106 |
| 2023-12-21 | vs | USC Trojans | L | 77 - 85 |
| 2023-12-28 | vs | Cal State Fullerton Titans | L | 61 - 67 |
| 2024-03-14 | @ | UC Riverside Highlanders | W | 83 - 75 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Tucker
|
G | 5 | 33.4 | 15.2 | 3.8 | 1.6 | 1.2 | 0.0 | 2.2 | 10.6 | 9.0 | 9 | 0.9 | 0.8 | 39.6 | 43.3 | 80.8 | -0.21 | 59.0 | 51.9 |
S. Woodley
|
G | 5 | 29.8 | 10.2 | 5.4 | 1.8 | 3.8 | 0.0 | 1.6 | 10.4 | 9.2 | 39 | 3.5 | 4.0 | 38.5 | 8.3 | 66.7 | 0.29 | 43.5 | 39.4 |
C. Valenti-Paea
|
G | 5 | 28.2 | 9.0 | 4.0 | 2.6 | 1.6 | 0.6 | 2.0 | 7.8 | 8.0 | 33 | 3.0 | 3.5 | 41.0 | 37.5 | 83.3 | 0.37 | 50.8 | 44.9 |
J. Crawshaw
|
F | 5 | 18.2 | 9.0 | 4.4 | 0.6 | 0.8 | 0.4 | 2.2 | 7.8 | 5.2 | 2 | 0.2 | 0.4 | 46.2 | 33.3 | 53.3 | -0.24 | 49.3 | 47.4 |
P. Chung
|
G | 5 | 31.4 | 7.8 | 5.6 | 2.4 | 0.8 | 0.0 | 3.2 | 9.4 | 4.0 | 24 | 2.4 | 2.4 | 34.0 | 28.6 | 100.0 | 0.12 | 41.1 | 40.4 |
L. Sonnier
|
G | 5 | 18.0 | 7.8 | 4.4 | 0.8 | 0.8 | 1.2 | 2.4 | 7.4 | 5.2 | -52 | -2.4 | -3.5 | 48.6 | 16.7 | 16.7 | -0.29 | 49.2 | 51.4 |
C. Givens
|
G | 5 | 18.8 | 6.6 | 2.2 | 2.0 | 1.2 | 0.0 | 4.0 | 5.0 | 3.0 | -26 | -4.3 | -40.5 | 48.0 | 10.0 | 66.7 | -0.32 | 54.5 | 50.0 |
A. Shoff
|
F | 2 | 20.5 | 5.5 | 2.5 | 1.0 | 0.5 | 0.0 | 3.0 | 5.5 | 1.0 | - | - | - | 36.4 | 0.0 | 75.0 | - | 43.1 | 36.4 |
D. Matthews
|
F | 4 | 15.2 | 1.8 | 3.5 | 0.5 | 1.0 | 0.2 | 1.5 | 2.5 | 3.0 | 24 | 3.0 | 4.1 | 20.0 | 0.0 | 50.0 | 0.2 | 27.7 | 20.0 |
O. Moore
|
G | 4 | 5.8 | 0.8 | 0.8 | 0.2 | 0.0 | 0.0 | 0.8 | 1.8 | -0.8 | 7 | 0.9 | 7.0 | 14.3 | 16.7 | 0 | 0.01 | 21.4 | 21.4 |
L. Cummings
|
G | 5 | 2.2 | 0.4 | 0.4 | 0.0 | 0.4 | 0.0 | 0.0 | 0.2 | 1.0 | - | - | - | 100.0 | 0 | 0 | -0.17 | 100.0 | 100.0 |
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