Long Beach State Beach
2026 Team Stats (27 games)
56.4
PPG
72.7
Opp
-16.3
Margin
36.5%
FG%
28.4%
3P%
69.3%
FT%
35.3
RPG
12.0
APG
18.0
TO
80.0
Pace
Model Outputs
2025-2026
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 |
2026 Schedule & Results
2026 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. Jones-Brown
|
G | 26 | 37.5 | 17.7 | 7.0 | 2.3 | 1.4 | 0.2 | 2.6 | 15.1 | 10.8 | -244 | -12.2 | -13.6 | 41.8 | 32.7 | 82.5 | 0.2 | 50.7 | 44.1 |
K. Pepe
|
G | 27 | 29.4 | 9.8 | 5.5 | 2.0 | 1.6 | 0.5 | 3.1 | 9.4 | 6.7 | -204 | -9.7 | -12.5 | 37.6 | 26.0 | 62.1 | -1.04 | 44.5 | 40.2 |
K. Ka
|
F | 27 | 31.8 | 6.8 | 3.9 | 2.5 | 0.4 | 0.4 | 2.3 | 6.3 | 5.5 | -270 | -12.9 | -15.2 | 42.1 | 31.2 | 71.4 | -3.88 | 50.2 | 48.0 |
R. Akot
|
F | 27 | 19.8 | 6.6 | 4.9 | 0.5 | 1.1 | 0.8 | 3.4 | 7.0 | 3.5 | -152 | -7.6 | -19.3 | 34.7 | 27.3 | 59.6 | -1.48 | 42.2 | 39.5 |
B. Pukis
|
G | 27 | 26.0 | 5.9 | 1.7 | 1.6 | 0.5 | 0.1 | 1.4 | 5.3 | 3.1 | -156 | -7.4 | -12.4 | 34.5 | 33.9 | 82.1 | -1.21 | 51.2 | 47.5 |
J. Oliva Fernandez
|
F | 15 | 20.9 | 5.5 | 4.5 | 1.6 | 0.5 | 1.7 | 2.7 | 7.0 | 4.1 | -101 | -6.7 | -9.5 | 29.5 | 24.3 | 66.7 | 0.66 | 36.8 | 33.8 |
M. Mack
|
G | 25 | 18.1 | 2.9 | 2.4 | 1.0 | 0.7 | 0.1 | 1.4 | 3.4 | 2.4 | -122 | -6.1 | -13.7 | 31.0 | 23.9 | 66.7 | -0.46 | 40.3 | 37.5 |
C. Reynoso
|
G | 25 | 13.6 | 2.2 | 0.9 | 0.8 | 0.3 | 0.0 | 0.6 | 2.9 | 0.7 | -147 | -7.0 | -19.6 | 26.0 | 23.4 | 42.9 | -1.63 | 36.8 | 36.3 |
T. Samuel-Afolabi
|
G | 26 | 6.6 | 1.6 | 1.0 | 0.3 | 0.0 | 0.0 | 0.5 | 1.8 | 0.7 | - | - | - | 33.3 | 30.8 | 50.0 | - | 39.4 | 37.5 |
H. Wright
|
C | 19 | 10.7 | 1.2 | 1.4 | 0.4 | 0.1 | 0.1 | 0.6 | 1.6 | 0.8 | -17 | -0.8 | -2.7 | 19.4 | 22.2 | 42.9 | 0.14 | 29.6 | 25.8 |
L. Cummings
|
G | 7 | 11.1 | 0.6 | 4.1 | 0.0 | 0.4 | 0.0 | 0.7 | 0.7 | 3.7 | -55 | -7.9 | -18.8 | 20.0 | 0.0 | 33.3 | -2.73 | 26.2 | 20.0 |
Brelynn Brice
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
M. Richards
|
F | 0 | - | 0.0 | 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