Fresno State
2026 Team Stats (30 games)
72.7
PPG
72.7
Opp
+0.0
Margin
44.4%
FG%
31.9%
3P%
74.5%
FT%
34.8
RPG
12.7
APG
12.9
TO
78.6
Pace
74.2
AdjO
70.9
AdjD
#124
Rank
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 875 (#273) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 966 (#214) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 922 (#644) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.0 (#127) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.8 (#119) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.454 (#209) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.211 (#275) | NetEff -11.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.613 (#129) | AdjNet +4.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.615 (#129) | AdjNet +4.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.574 (#124) | AdjO 74.2 | AdjD 70.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.528 (#203) | AdjO 72.3 | AdjD 71.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.730 (#199) | 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 → | 0.684 (#205) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 973 (#260) | RD 138 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Heidbreder
|
G | 28 | 36.9 | 17.3 | 2.7 | 2.2 | 1.4 | 0.1 | 2.1 | 12.8 | 8.9 | 76 | 3.6 | 4.3 | 41.5 | 32.5 | 90.4 | 0.32 | 58.1 | 50.7 |
Deshawn Gory
|
- | 30 | 29.4 | 13.6 | 6.3 | 1.9 | 0.8 | 0.3 | 1.5 | 11.4 | 10.0 | 1 | 0.0 | 0.1 | 48.0 | 25.5 | 64.6 | -0.28 | 53.8 | 51.8 |
Z. Collins
|
G | 24 | 30.5 | 11.2 | 3.6 | 4.8 | 1.9 | 0.0 | 2.9 | 9.2 | 9.3 | 119 | 5.7 | 10.3 | 45.5 | 28.6 | 72.6 | 0.19 | 52.9 | 48.6 |
Wilson Jacques
|
- | 30 | 27.4 | 9.0 | 8.7 | 1.0 | 0.8 | 0.7 | 1.6 | 7.1 | 11.5 | 76 | 3.6 | 6.1 | 48.1 | 30.8 | 73.8 | 0.85 | 54.0 | 49.1 |
D. Douglas Jr.
|
G | 17 | 17.0 | 6.9 | 1.5 | 0.1 | 0.4 | 0.1 | 0.6 | 4.9 | 3.5 | -43 | -3.1 | -11.8 | 43.4 | 40.9 | 69.2 | 1.14 | 61.9 | 59.6 |
J. Mani
|
- | 24 | 11.8 | 6.2 | 2.7 | 0.4 | 0.2 | 0.2 | 0.8 | 4.6 | 4.4 | 24 | 1.3 | 4.9 | 45.9 | 31.9 | 67.3 | 0.3 | 56.6 | 52.7 |
C. Faas
|
- | 30 | 19.0 | 5.1 | 2.4 | 0.3 | 0.5 | 0.1 | 0.5 | 4.6 | 3.3 | 52 | 2.3 | 5.6 | 38.8 | 35.8 | 87.5 | 0.31 | 54.0 | 52.9 |
Bastien Rieber
|
- | 30 | 17.1 | 4.3 | 1.2 | 1.6 | 0.3 | 0.0 | 1.2 | 3.0 | 3.2 | 23 | 1.1 | 4.2 | 40.4 | 36.4 | 74.5 | 0.19 | 57.0 | 49.4 |
Gasper Kocevar
|
- | 26 | 13.4 | 3.3 | 2.2 | 0.7 | 0.3 | 0.3 | 0.7 | 2.0 | 4.3 | 39 | 2.4 | 8.7 | 61.5 | 44.4 | 54.3 | 0.22 | 64.5 | 65.4 |
Dj Stickman
|
- | 19 | 14.1 | 3.2 | 2.6 | 1.2 | 0.9 | 0.2 | 1.3 | 2.1 | 4.7 | 28 | 1.5 | 4.3 | 51.3 | 44.4 | 76.2 | 0.18 | 62.2 | 56.4 |
Aram Soqui Urbano
|
- | 14 | 8.9 | 2.0 | 0.5 | 0.2 | 0.1 | 0.0 | 0.2 | 2.1 | 0.5 | -4 | -1.0 | -10.8 | 31.0 | 27.3 | 66.7 | -0.05 | 44.2 | 41.4 |
M. Diouf
|
- | 17 | 4.9 | 1.1 | 1.4 | 0.2 | 0.1 | 0.4 | 0.7 | 1.4 | 1.1 | -29 | -2.2 | -22.0 | 26.1 | 9.1 | 85.7 | -0.68 | 36.4 | 28.3 |
Matteo Porto
|
- | 14 | 3.4 | 0.6 | 0.2 | 0.0 | 0.0 | 0.1 | 0.2 | 1.1 | -0.4 | -17 | -2.1 | -42.4 | 13.3 | 0.0 | 57.1 | -0.32 | 22.1 | 13.3 |
T. Jenkins
|
- | 2 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | -11 | -5.5 | -71.2 | 0.0 | 0.0 | 0 | -0.17 | 0.0 | 0.0 |
Nathan Zulemie
|
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