Ball State Cardinals
2026 Team Stats (30 games)
79.2
PPG
67.2
Opp
+12.0
Margin
46.4%
FG%
33.4%
3P%
69.0%
FT%
43.1
RPG
19.7
APG
16.4
TO
87.9
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 → | 1118 (#45) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +22.4 (#77) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.718 (#55) | AdjO 75.0 | AdjD 64.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.899 (#75) | 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 → | 0.879 (#72) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1218 (#66) | RD 130 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Salenbien
|
G | 29 | 28.3 | 16.6 | 7.1 | 3.7 | 1.7 | 1.0 | 3.2 | 11.8 | 15.0 | 112 | 4.9 | 7.1 | 47.7 | 35.8 | 84.1 | 0.38 | 60.4 | 54.7 |
T. Towers
|
C | 30 | 23.1 | 15.5 | 8.4 | 1.5 | 0.5 | 0.5 | 2.2 | 12.2 | 12.1 | 128 | 5.3 | 9.2 | 55.6 | 0.0 | 67.4 | 3.56 | 57.7 | 55.6 |
G. Kingery
|
G | 30 | 31.5 | 13.2 | 2.5 | 1.6 | 1.1 | 0.3 | 0.7 | 9.9 | 8.2 | 101 | 4.4 | 6.1 | 45.3 | 41.1 | 79.6 | 0.15 | 61.9 | 59.6 |
K. Norman
|
G | 30 | 29.6 | 9.1 | 3.6 | 5.1 | 1.0 | 0.1 | 2.6 | 9.1 | 7.2 | 154 | 6.4 | 9.6 | 35.3 | 30.0 | 69.7 | 2.19 | 45.5 | 41.9 |
A. Tagayi
|
F | 30 | 25.8 | 7.9 | 5.1 | 2.7 | 1.5 | 0.8 | 2.5 | 6.3 | 9.1 | 54 | 2.2 | 3.7 | 53.2 | 9.5 | 49.3 | -0.53 | 54.0 | 53.7 |
Z. Verburgt
|
F | 28 | 20.9 | 5.4 | 4.8 | 1.6 | 0.4 | 0.1 | 1.9 | 4.9 | 5.5 | 27 | 1.4 | 2.7 | 38.0 | 28.2 | 66.7 | 0.38 | 48.7 | 45.3 |
A. Caballero
|
F | 29 | 14.5 | 4.1 | 4.9 | 1.0 | 0.2 | 0.6 | 1.2 | 3.1 | 6.4 | 28 | 1.2 | 3.7 | 51.1 | 9.1 | 52.1 | -1.17 | 53.1 | 51.7 |
V. Rojas
|
G | 6 | 6.0 | 3.7 | 1.2 | 0.2 | 0.0 | 0.0 | 0.7 | 3.3 | 1.0 | 3 | 0.5 | 7.6 | 35.0 | 20.0 | 70.0 | -0.25 | 45.1 | 37.5 |
Z. Ransom
|
G | 24 | 10.6 | 2.8 | 1.3 | 0.7 | 0.3 | 0.2 | 0.6 | 2.1 | 2.8 | 51 | 2.7 | 10.2 | 42.0 | 28.6 | 66.7 | 1.33 | 52.7 | 46.0 |
G. Gorini
|
G | 30 | 10.2 | 2.7 | 0.7 | 1.6 | 0.6 | 0.1 | 0.8 | 1.9 | 2.9 | -10 | -0.4 | -1.7 | 46.6 | 35.7 | 57.1 | -1.05 | 56.9 | 55.2 |
A. Brooke
|
G | 21 | 8.0 | 2.4 | 0.4 | 0.6 | 0.4 | 0.0 | 0.4 | 2.1 | 1.2 | 5 | 0.2 | 1.4 | 33.3 | 31.4 | 83.3 | -1.97 | 50.7 | 45.6 |
B. Winchester
|
F | 12 | 6.3 | 2.2 | 2.0 | 0.2 | 0.3 | 0.0 | 0.2 | 1.2 | 3.4 | 11 | 1.0 | 10.1 | 60.0 | 33.3 | 72.7 | -0.52 | 68.0 | 63.3 |
L. Martinez
|
G | 7 | 4.3 | 1.0 | 0.4 | 0.3 | 0.4 | 0.0 | 0.3 | 1.4 | 0.4 | -2 | -0.3 | -5.9 | 30.0 | 14.3 | 0 | -0.41 | 35.0 | 35.0 |
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