Kent State Golden Flashes
2026 Team Stats (28 games)
69.6
PPG
67.5
Opp
+2.1
Margin
40.9%
FG%
30.2%
3P%
79.3%
FT%
38.4
RPG
13.2
APG
18.4
TO
85.9
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 → | 1033 (#150) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.0 (#161) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.550 (#171) | AdjO 65.6 | AdjD 63.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.767 (#154) | 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 → | 0.733 (#156) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1060 (#167) | RD 135 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Babbitt
|
G | 27 | 34.9 | 16.3 | 3.8 | 1.7 | 1.5 | 0.2 | 2.5 | 14.7 | 6.3 | 55 | 2.5 | 3.1 | 38.5 | 28.8 | 90.6 | -0.57 | 50.6 | 45.7 |
J. Tyler
|
F | 7 | 23.1 | 11.4 | 4.6 | 0.6 | 0.3 | 0.3 | 0.7 | 9.3 | 7.1 | -5 | -0.5 | -0.8 | 43.1 | 0 | 80.0 | 2.52 | 51.2 | 43.1 |
R. Rismiller
|
C | 28 | 24.3 | 8.3 | 5.7 | 0.4 | 0.3 | 0.7 | 1.9 | 6.4 | 7.1 | -61 | -2.7 | -4.5 | 48.3 | 20.0 | 75.3 | -1.86 | 54.7 | 49.2 |
C. Hauser
|
G | 14 | 17.3 | 7.9 | 2.3 | 1.6 | 0.6 | 0.1 | 2.6 | 7.1 | 2.9 | -21 | -2.1 | -4.3 | 38.4 | 41.4 | 92.0 | -1.6 | 50.5 | 44.4 |
T. Thomas
|
F | 25 | 19.6 | 7.7 | 4.6 | 1.5 | 1.6 | 0.7 | 1.8 | 6.0 | 8.2 | 30 | 1.5 | 3.5 | 45.7 | 75.0 | 62.2 | -1.73 | 51.3 | 46.7 |
E. Klatt
|
F | 28 | 15.1 | 6.7 | 4.7 | 0.5 | 0.9 | 0.2 | 0.7 | 4.2 | 8.0 | -33 | -1.4 | -5.1 | 59.7 | 42.9 | 82.7 | 3.15 | 66.3 | 60.9 |
D. Gray
|
G | 28 | 31.2 | 5.9 | 3.8 | 5.0 | 1.3 | 0.3 | 3.4 | 5.3 | 7.6 | 72 | 3.1 | 4.7 | 30.2 | 21.8 | 86.3 | 1.99 | 45.5 | 34.2 |
R. Kalocay
|
G | 16 | 15.8 | 5.4 | 2.2 | 1.4 | 1.1 | 0.0 | 1.1 | 3.8 | 5.3 | 53 | 2.9 | 7.3 | 40.0 | 33.3 | 80.0 | 0.96 | 57.7 | 49.2 |
J. Hildebrand
|
G | 21 | 17.0 | 5.2 | 2.3 | 0.5 | 0.4 | 0.1 | 1.1 | 5.4 | 2.0 | 57 | 4.4 | 12.2 | 32.5 | 29.3 | 72.0 | 3.18 | 43.6 | 39.9 |
A. Campanelli
|
G | 28 | 13.8 | 4.9 | 1.8 | 0.4 | 0.4 | 0.2 | 1.1 | 3.6 | 3.1 | -9 | -0.4 | -1.7 | 41.0 | 39.5 | 82.6 | -3.14 | 57.0 | 49.5 |
C. Holmes
|
G | 27 | 9.7 | 3.5 | 1.1 | 0.7 | 0.5 | 0.1 | 1.9 | 3.1 | 0.8 | 46 | 2.0 | 7.5 | 43.5 | 50.0 | 63.3 | 2.56 | 47.9 | 44.1 |
B. Juzzo
|
F | 26 | 14.1 | 2.8 | 2.0 | 0.7 | 0.3 | 0.1 | 1.1 | 2.7 | 2.1 | 54 | 2.7 | 10.5 | 35.7 | 20.8 | 85.0 | -0.45 | 45.7 | 39.3 |
M. Murray
|
G | 23 | 7.1 | 1.8 | 1.2 | 0.6 | 0.3 | 0.0 | 0.7 | 1.9 | 1.3 | 54 | 2.7 | 17.0 | 30.2 | 32.0 | 88.9 | 2.45 | 44.7 | 39.5 |
Joy Bergstrom
|
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