Fresno State Bulldogs
2026 Team Stats (26 games)
63.0
PPG
61.0
Opp
+2.0
Margin
39.2%
FG%
31.3%
3P%
71.2%
FT%
37.8
RPG
9.8
APG
16.1
TO
82.6
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 → | 944 (#481) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +12.5 (#168) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.507 (#202) | AdjO 62.6 | AdjD 62.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.723 (#187) | 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 → | 0.678 (#196) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 946 (#252) | RD 145 | GP 26 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Rean
|
F | 3 | 28.0 | 15.7 | 6.0 | 0.7 | 1.0 | 0.7 | 3.0 | 13.3 | 7.7 | 46 | 9.2 | 18.8 | 57.5 | 0 | 20.0 | 2.0 | 55.7 | 57.5 |
D. Powell
|
G | 26 | 33.1 | 13.5 | 3.7 | 1.8 | 1.2 | 0.1 | 2.8 | 11.2 | 6.3 | 166 | 6.9 | 9.3 | 41.0 | 40.5 | 79.3 | 1.52 | 53.6 | 48.8 |
E. Long
|
G | 26 | 32.3 | 13.3 | 4.8 | 3.6 | 2.0 | 0.2 | 2.7 | 12.2 | 9.2 | 136 | 5.9 | 8.1 | 40.2 | 32.9 | 84.4 | 0.72 | 49.6 | 44.6 |
J. Gamble
|
F | 26 | 32.9 | 7.3 | 4.6 | 1.8 | 2.1 | 0.4 | 2.8 | 8.1 | 5.3 | 136 | 5.9 | 7.3 | 39.5 | 23.1 | 59.5 | 0.47 | 42.2 | 40.2 |
A. Watkins
|
F | 23 | 18.6 | 6.8 | 5.5 | 0.6 | 0.7 | 0.3 | 1.5 | 5.4 | 7.0 | 96 | 4.4 | 8.9 | 44.8 | 37.0 | 70.0 | 2.19 | 53.4 | 48.8 |
A. Marr
|
G | 26 | 22.3 | 5.4 | 1.8 | 0.5 | 0.7 | 0.0 | 0.8 | 6.1 | 1.5 | 95 | 4.0 | 9.5 | 29.6 | 26.8 | 71.4 | -0.13 | 40.9 | 37.7 |
I. Clarke
|
G | 17 | 20.5 | 5.2 | 4.6 | 0.4 | 0.9 | 0.2 | 1.5 | 5.8 | 4.0 | 1 | 0.1 | 0.1 | 29.3 | 16.7 | 66.7 | -2.29 | 37.9 | 30.8 |
D. Diawara
|
F | 25 | 16.2 | 5.0 | 4.2 | 0.2 | 0.6 | 0.1 | 1.2 | 4.3 | 4.8 | 81 | 4.0 | 12.5 | 48.1 | 0 | 59.5 | -0.32 | 50.7 | 48.1 |
M. Chavez
|
F | 23 | 13.4 | 4.0 | 2.3 | 0.5 | 0.3 | 0.2 | 0.9 | 4.3 | 2.0 | 47 | 2.5 | 14.6 | 32.3 | 26.3 | 59.1 | 1.33 | 42.3 | 39.9 |
H. Koehne
|
F | 25 | 16.1 | 3.1 | 3.2 | 0.5 | 0.5 | 0.4 | 1.2 | 3.3 | 3.2 | 95 | 4.3 | 10.3 | 37.8 | 0.0 | 71.4 | 1.51 | 42.2 | 37.8 |
D. Sissoko
|
G | 4 | 5.5 | 2.2 | 1.0 | 0.2 | 0.0 | 0.0 | 0.5 | 2.5 | 0.5 | 16 | 4.0 | 11.1 | 30.0 | 0.0 | 60.0 | 2.15 | 36.9 | 30.0 |
B. Webb
|
G | 2 | 5.5 | 1.0 | 1.5 | 0.0 | 0.0 | 0.0 | 1.0 | 0.5 | 1.0 | -3 | -1.0 | -12.7 | 100.0 | 0 | 0 | -1.15 | 100.0 | 100.0 |
A. Oliver
|
G | 16 | 3.4 | 0.6 | 0.6 | 0.1 | 0.1 | 0.1 | 0.1 | 0.6 | 0.8 | 65 | 4.3 | 46.4 | 44.4 | 20.0 | 50.0 | 1.79 | 50.6 | 50.0 |
Kenzie Sirowich
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Alexiz Graise
|
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