Cleveland State Vikings
2026 Team Stats (31 games)
69.5
PPG
61.7
Opp
+7.8
Margin
43.9%
FG%
29.9%
3P%
75.3%
FT%
37.0
RPG
13.5
APG
16.6
TO
80.8
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 → | 1083 (#86) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.7 (#123) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.635 (#107) | AdjO 66.4 | AdjD 60.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.828 (#119) | 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 → | 0.805 (#111) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1142 (#104) | RD 100 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Zingaro
|
C | 31 | 26.5 | 17.3 | 7.7 | 1.0 | 0.6 | 0.8 | 2.9 | 10.0 | 14.5 | 47 | 1.8 | 2.6 | 59.9 | 25.0 | 78.9 | 3.23 | 67.1 | 60.5 |
C. Maples
|
G | 30 | 32.1 | 15.6 | 1.8 | 2.3 | 1.3 | 0.0 | 2.7 | 14.0 | 4.2 | 4 | 0.1 | 0.2 | 37.3 | 32.0 | 76.5 | -1.39 | 49.3 | 44.7 |
J. Leonard
|
G | 29 | 33.2 | 11.3 | 2.3 | 2.9 | 2.8 | 0.0 | 3.1 | 10.4 | 5.7 | -9 | -0.3 | -0.4 | 35.0 | 25.0 | 81.5 | -1.01 | 46.6 | 39.4 |
M. Fegan
|
F | 31 | 30.2 | 9.1 | 6.2 | 3.0 | 1.1 | 0.2 | 2.0 | 6.3 | 11.2 | 62 | 2.4 | 3.1 | 54.6 | 23.5 | 85.1 | 2.62 | 61.5 | 55.6 |
A. Magassa
|
F | 31 | 13.5 | 4.4 | 3.4 | 0.8 | 0.6 | 0.3 | 0.9 | 3.6 | 5.1 | -48 | -1.8 | -5.0 | 51.4 | 0.0 | 56.8 | 0.72 | 53.0 | 51.4 |
S. Hurley
|
G | 29 | 21.1 | 4.0 | 3.8 | 0.7 | 0.6 | 0.0 | 0.5 | 3.7 | 4.9 | 17 | 0.7 | 1.6 | 36.8 | 36.5 | 0.0 | -3.9 | 54.3 | 54.7 |
P. Pique
|
G | 31 | 23.6 | 3.4 | 2.7 | 1.6 | 1.7 | 0.2 | 1.7 | 3.5 | 4.4 | 95 | 3.7 | 6.6 | 34.5 | 29.9 | 62.5 | 5.1 | 45.3 | 43.6 |
M. Royal-Davis
|
F | 10 | 11.8 | 3.2 | 4.2 | 1.2 | 0.9 | 0.2 | 1.0 | 1.6 | 7.1 | -65 | -4.6 | -13.1 | 62.5 | 0 | 57.1 | -3.56 | 63.4 | 62.5 |
L. Rockwood
|
C | 28 | 9.1 | 3.0 | 2.8 | 0.2 | 0.3 | 0.5 | 1.0 | 2.0 | 3.8 | -14 | -0.6 | -2.3 | 52.7 | 0 | 73.5 | -4.17 | 59.3 | 52.7 |
E. Van Weelden
|
F | 31 | 10.0 | 1.6 | 1.7 | 0.4 | 0.3 | 0.1 | 0.5 | 2.0 | 1.6 | 3 | 0.1 | 0.3 | 27.0 | 25.0 | 50.0 | -3.38 | 38.8 | 38.1 |
C. Guinta
|
F | 8 | 4.4 | 1.5 | 0.2 | 0.5 | 0.2 | 0.0 | 0.5 | 1.0 | 1.0 | 35 | 4.4 | 62.5 | 37.5 | 16.7 | 100.0 | -0.18 | 58.8 | 43.8 |
H. Medina Kajevic
|
G | 17 | 3.9 | 0.6 | 0.4 | 0.5 | 0.1 | 0.0 | 0.5 | 0.6 | 0.5 | 39 | 2.3 | 36.9 | 30.0 | 50.0 | 21.4 | -3.49 | 30.9 | 35.0 |
Q. Ruffin
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -4 | -4.0 | -10.3 | - | - | - | -0.49 | - | - |
S. Lozano
|
G | 6 | 2.7 | 0.0 | 0.8 | 0.0 | 0.2 | 0.2 | 0.3 | 0.2 | 0.7 | 9 | 1.5 | 31.8 | 0.0 | 0.0 | 0 | -0.58 | 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