Long Beach State Beach
2025 Team Stats (2 games)
45.5
PPG
78.0
Opp
-32.5
Margin
30.5%
FG%
16.2%
3P%
65.0%
FT%
33.5
RPG
7.5
APG
21.5
TO
84.9
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 877 (#551) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.6 (#346) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.299 (#560) | AdjO 58.6 | AdjD 68.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.320 (#375) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.306 (#393) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 775 (#559) | RD 154 | GP 27 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-14 | vs | UCLA Bruins | L | 51 - 102 |
| 2025-03-12 | vs | UC Riverside Highlanders | L | 40 - 54 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Crawshaw
|
F | 2 | 23.0 | 11.5 | 2.0 | 1.0 | 1.0 | 1.0 | 4.0 | 13.0 | -0.5 | -12 | -0.4 | -0.6 | 42.3 | 20.0 | 0 | 0.29 | 44.2 | 44.2 |
S. Tucker
|
G | 2 | 35.5 | 8.0 | 5.0 | 4.0 | 0.5 | 1.5 | 2.0 | 10.0 | 7.0 | 4 | 0.1 | 0.1 | 25.0 | 0.0 | 66.7 | 0.24 | 33.4 | 25.0 |
R. Loobie
|
F | 2 | 23.0 | 7.5 | 7.0 | 0.5 | 1.0 | 1.5 | 1.5 | 10.5 | 5.5 | -9 | -0.3 | -0.4 | 28.6 | 40.0 | 50.0 | 0.2 | 34.3 | 33.3 |
K. Ka
|
F | 1 | 18.0 | 7.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 6.0 | 2.0 | -11 | -0.5 | -1.6 | 50.0 | 33.3 | 0 | -0.01 | 58.3 | 58.3 |
J. Jones-Brown
|
G | 2 | 29.0 | 6.5 | 2.5 | 1.0 | 1.5 | 0.0 | 2.0 | 6.5 | 3.0 | 6 | 0.2 | 0.3 | 38.5 | 33.3 | 100.0 | 0.43 | 46.8 | 42.3 |
M. Richards
|
F | 2 | 23.5 | 3.5 | 3.0 | 0.5 | 1.5 | 0.0 | 3.0 | 3.0 | 2.5 | 34 | 1.2 | 1.9 | 33.3 | 0.0 | 75.0 | 0.75 | 45.1 | 33.3 |
H. Wright
|
C | 1 | 11.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 3.0 | 0.0 | 29 | 1.7 | 3.5 | 33.3 | 0.0 | 100.0 | 0.11 | 43.6 | 33.3 |
P. Chung
|
G | 2 | 27.5 | 2.5 | 4.5 | 0.0 | 0.0 | 0.5 | 3.5 | 6.0 | -2.0 | 9 | 0.3 | 0.4 | 16.7 | 12.5 | 0 | 0.79 | 20.8 | 20.8 |
J. Oliva Fernandez
|
F | 2 | 8.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.5 | 1.0 | -1.0 | 9 | 0.3 | 1.3 | 50.0 | 0 | 0 | 0.02 | 50.0 | 50.0 |
L. Sonnier
|
G | 2 | 12.0 | 0.0 | 2.5 | 0.5 | 1.0 | 0.0 | 3.0 | 4.0 | -3.0 | -68 | -1.6 | -3.6 | 0.0 | 0.0 | 0.0 | 0.38 | 0.0 | 0.0 |
C. Reynoso
|
G | 1 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | -1.11 | 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