Cal State Fullerton Titans
2026 Team Stats (28 games)
71.0
PPG
65.4
Opp
+5.6
Margin
37.8%
FG%
26.0%
3P%
69.2%
FT%
40.9
RPG
14.2
APG
17.4
TO
95.1
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 → | 1028 (#154) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +9.7 (#204) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.565 (#157) | AdjO 68.3 | AdjD 65.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.732 (#184) | 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 → | 0.703 (#177) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1038 (#190) | RD 133 | GP 28 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Jones
|
F | 26 | 31.9 | 16.5 | 10.6 | 1.7 | 3.8 | 0.2 | 3.0 | 15.1 | 14.7 | 41 | 2.0 | 2.6 | 42.7 | 0.0 | 57.0 | 2.08 | 46.2 | 42.7 |
M. Tauro
|
G | 26 | 24.1 | 9.6 | 3.3 | 1.6 | 2.4 | 0.3 | 2.3 | 11.1 | 3.8 | -37 | -1.9 | -3.6 | 34.3 | 22.2 | 76.2 | -1.94 | 39.5 | 34.9 |
N. Steiner
|
F | 20 | 23.4 | 9.5 | 7.2 | 1.3 | 1.6 | 0.2 | 2.2 | 8.2 | 9.4 | -42 | -2.6 | -3.3 | 42.9 | 0.0 | 61.7 | -0.54 | 47.8 | 42.9 |
K. Pearson
|
G | 28 | 26.0 | 8.4 | 2.8 | 3.2 | 2.6 | 0.4 | 3.0 | 7.6 | 6.8 | 100 | 4.5 | 7.0 | 37.9 | 26.9 | 79.4 | 5.13 | 48.0 | 42.1 |
T. Maxwell
|
F | 28 | 21.6 | 8.2 | 4.7 | 0.6 | 1.0 | 0.9 | 1.2 | 6.1 | 8.2 | -61 | -2.8 | -6.8 | 49.4 | 66.7 | 73.8 | -2.37 | 55.8 | 50.0 |
D. Swindle
|
G | 28 | 24.6 | 6.6 | 2.3 | 1.9 | 1.4 | 0.1 | 2.0 | 6.5 | 3.7 | -57 | -2.6 | -3.8 | 28.4 | 26.8 | 81.1 | -2.14 | 43.1 | 34.4 |
J. Falsdottir
|
G | 24 | 23.8 | 5.3 | 2.5 | 2.4 | 1.8 | 0.1 | 1.6 | 6.0 | 4.6 | -22 | -1.0 | -1.6 | 32.9 | 25.7 | 53.6 | -0.64 | 41.2 | 39.5 |
M. Sutisna
|
G | 26 | 11.4 | 4.5 | 1.8 | 0.9 | 0.7 | 0.1 | 1.2 | 4.0 | 2.9 | -68 | -3.2 | -10.5 | 38.8 | 28.6 | 76.5 | -0.69 | 50.0 | 44.7 |
M. Muniz
|
G | 27 | 19.6 | 4.0 | 1.7 | 0.7 | 0.8 | 0.0 | 0.8 | 4.7 | 1.7 | 32 | 1.5 | 2.7 | 28.9 | 26.6 | 83.3 | 1.33 | 41.3 | 40.2 |
M. Moon
|
G | 25 | 8.2 | 3.0 | 1.2 | 0.6 | 0.6 | 0.0 | 0.7 | 2.8 | 2.0 | -49 | -2.5 | -12.7 | 35.7 | 13.6 | 76.7 | -1.26 | 45.7 | 37.9 |
L. Petersen
|
F | 17 | 6.3 | 1.5 | 1.1 | 0.2 | 0.2 | 0.1 | 0.5 | 1.8 | 1.0 | -44 | -3.1 | -18.3 | 30.0 | 23.1 | 83.3 | -0.19 | 39.8 | 35.0 |
B. Orhan
|
G | 11 | 6.5 | 1.3 | 1.0 | 0.5 | 0.2 | 0.0 | 0.3 | 0.9 | 1.8 | -62 | -6.9 | -76.9 | 50.0 | 33.3 | 100.0 | -2.94 | 64.3 | 60.0 |
Nyemah King
|
G | 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