California Baptist Lancers
2026 Team Stats (30 games)
72.0
PPG
67.4
Opp
+4.6
Margin
41.5%
FG%
30.1%
3P%
71.1%
FT%
40.1
RPG
15.2
APG
14.9
TO
86.0
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 → | 1139 (#32) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.1 (#149) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.591 (#136) | AdjO 69.9 | AdjD 65.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.834 (#111) | 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 → | 0.807 (#110) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1231 (#54) | RD 111 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Olsen
|
G | 30 | 28.4 | 15.1 | 2.8 | 2.0 | 1.3 | 0.4 | 2.6 | 13.2 | 5.7 | -15 | -0.7 | -0.9 | 43.0 | 34.7 | 78.9 | -0.8 | 52.7 | 49.6 |
F. Barros
|
G | 30 | 32.3 | 11.5 | 9.9 | 4.6 | 2.8 | 0.2 | 2.3 | 9.3 | 17.3 | 14 | 0.6 | 0.8 | 40.5 | 41.5 | 81.9 | 0.59 | 55.4 | 51.1 |
E. Johansson
|
F | 30 | 26.3 | 10.3 | 5.9 | 2.0 | 0.8 | 2.6 | 2.5 | 9.2 | 9.9 | -29 | -1.2 | -1.7 | 45.8 | 28.4 | 71.9 | -0.75 | 53.2 | 51.8 |
G. Schmidt
|
F | 24 | 23.7 | 9.8 | 5.3 | 1.9 | 0.6 | 0.4 | 2.0 | 8.1 | 8.0 | -1 | -0.1 | -0.1 | 51.0 | 12.5 | 54.4 | -0.34 | 52.7 | 51.3 |
K. Lemon
|
G | 28 | 20.4 | 9.1 | 2.2 | 0.4 | 0.5 | 0.1 | 1.2 | 7.7 | 3.4 | -4 | -0.2 | -0.3 | 43.3 | 29.4 | 66.0 | 0.36 | 53.6 | 51.4 |
S. Nordstrom
|
G | 30 | 26.2 | 9.0 | 3.4 | 1.5 | 1.2 | 0.2 | 1.5 | 8.6 | 5.1 | 33 | 1.4 | 2.1 | 40.9 | 29.4 | 76.7 | 1.35 | 49.6 | 47.7 |
C. Bucher
|
G | 22 | 12.0 | 4.9 | 1.4 | 0.3 | 0.6 | 0.2 | 0.5 | 5.0 | 1.9 | -30 | -1.6 | -3.9 | 35.5 | 30.3 | 75.0 | -1.91 | 46.4 | 44.5 |
S. Alonso
|
G | 25 | 17.4 | 2.6 | 2.1 | 2.1 | 0.8 | 0.1 | 1.5 | 3.0 | 3.2 | 9 | 1.0 | 2.2 | 31.6 | 16.2 | 73.3 | -0.24 | 39.3 | 35.5 |
R. Hess
|
G | 29 | 15.6 | 2.2 | 2.4 | 0.7 | 0.2 | 0.4 | 0.5 | 2.7 | 2.7 | 41 | 1.8 | 3.3 | 29.5 | 13.2 | 60.0 | -0.03 | 36.3 | 32.7 |
C. Legaspi
|
G | 23 | 12.9 | 2.0 | 2.0 | 0.6 | 0.7 | 0.8 | 0.7 | 2.5 | 2.9 | -24 | -1.3 | -2.9 | 21.1 | 8.8 | 75.0 | 0.72 | 33.3 | 23.7 |
A. Harmon
|
G | 7 | 2.1 | 0.9 | 0.1 | 0.1 | 0.0 | 0.0 | 0.1 | 0.7 | 0.3 | 16 | 2.3 | 36.1 | 40.0 | 66.7 | 0 | -0.71 | 60.0 | 60.0 |
P. Haw
|
F | 9 | 3.9 | 0.7 | 1.0 | 0.1 | 0.0 | 0.6 | 0.6 | 0.7 | 1.1 | 15 | 2.5 | 49.4 | 50.0 | 0.0 | 0.0 | 0.71 | 43.6 | 50.0 |
M. De La Fuente
|
G | 7 | 2.6 | 0.4 | 0.3 | 0.4 | 0.0 | 0.0 | 0.4 | 0.9 | -0.1 | - | - | - | 16.7 | 25.0 | 0 | -0.71 | 25.0 | 25.0 |
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