Youngstown State Penguins
2026 Team Stats (33 games)
65.3
PPG
58.1
Opp
+7.2
Margin
42.1%
FG%
30.5%
3P%
75.3%
FT%
36.5
RPG
15.2
APG
14.1
TO
77.5
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 → | 1133 (#35) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.0 (#136) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.625 (#113) | AdjO 61.9 | AdjD 56.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.830 (#116) | 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 → | 0.808 (#109) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1177 (#81) | RD 105 | GP 33 |
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. Santoro
|
G | 33 | 36.7 | 11.6 | 5.6 | 3.5 | 1.1 | 0.1 | 2.2 | 10.2 | 9.5 | 132 | 5.3 | 6.0 | 34.9 | 28.1 | 80.3 | -0.1 | 49.4 | 42.7 |
S. Baker
|
F | 33 | 25.0 | 11.6 | 4.1 | 1.8 | 0.8 | 0.7 | 2.0 | 9.9 | 7.1 | 84 | 3.4 | 4.3 | 52.6 | 0.0 | 78.4 | 0.41 | 54.9 | 52.6 |
S. Gregory
|
F | 33 | 29.0 | 10.4 | 8.6 | 3.0 | 1.7 | 1.5 | 2.5 | 7.9 | 14.8 | 159 | 6.4 | 8.6 | 54.4 | 19.4 | 79.1 | 1.21 | 59.2 | 55.7 |
E. King
|
G | 33 | 33.5 | 9.9 | 3.3 | 2.7 | 1.3 | 0.3 | 2.5 | 9.6 | 5.5 | 163 | 6.5 | 7.5 | 36.9 | 34.3 | 74.6 | 1.98 | 47.7 | 44.6 |
D. Cameron
|
G | 33 | 32.5 | 9.0 | 3.6 | 2.1 | 1.0 | 0.2 | 1.4 | 7.8 | 6.7 | 128 | 5.1 | 6.2 | 38.0 | 35.0 | 71.1 | -0.52 | 53.6 | 51.6 |
P. Hernandez
|
F | 33 | 16.2 | 7.4 | 3.6 | 0.7 | 0.4 | 1.8 | 0.6 | 5.5 | 7.7 | 124 | 5.0 | 13.8 | 48.6 | 38.5 | 71.4 | -1.28 | 57.7 | 54.1 |
H. Barrier
|
G | 30 | 13.0 | 3.4 | 0.9 | 0.4 | 0.7 | 0.2 | 0.9 | 4.2 | 0.5 | 145 | 6.3 | 15.0 | 27.8 | 22.2 | 78.6 | 2.33 | 38.2 | 35.7 |
F. Burch
|
F | 10 | 11.8 | 2.6 | 4.0 | 0.3 | 0.4 | 0.4 | 0.7 | 2.2 | 4.8 | 47 | 3.9 | 12.0 | 31.8 | 0 | 57.1 | 0.75 | 41.6 | 31.8 |
B. Adkins
|
G | 21 | 7.6 | 1.0 | 1.4 | 0.5 | 0.2 | 0.0 | 0.8 | 1.1 | 1.2 | 105 | 6.6 | 30.5 | 34.8 | 25.0 | 75.0 | 2.21 | 42.4 | 39.1 |
A. Van Tassell
|
F | 9 | 2.8 | 0.8 | 1.0 | 0.1 | 0.1 | 0.1 | 0.1 | 0.9 | 1.1 | 20 | 2.9 | 85.7 | 37.5 | 0 | 50.0 | -1.0 | 39.4 | 37.5 |
D. Lewandowski
|
G | 29 | 7.2 | 0.5 | 0.7 | 0.7 | 0.3 | 0.0 | 0.6 | 0.8 | 0.8 | 70 | 3.2 | 10.9 | 29.2 | 0.0 | 25.0 | 0.16 | 29.1 | 29.2 |
B. Samz
|
G | 11 | 4.3 | 0.4 | 0.3 | 0.8 | 0.1 | 0.0 | 0.3 | 0.7 | 0.5 | 70 | 7.8 | 120.0 | 12.5 | 0.0 | 100.0 | -0.41 | 22.5 | 12.5 |
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