Kansas State Wildcats
2026 Team Stats (31 games)
69.3
PPG
69.4
Opp
-0.1
Margin
43.1%
FG%
36.0%
3P%
71.8%
FT%
32.0
RPG
14.8
APG
15.0
TO
80.0
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 → | 1049 (#122) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +26.7 (#53) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.643 (#98) | AdjO 70.0 | AdjD 63.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.912 (#61) | 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 → | 0.883 (#69) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1180 (#79) | RD 107 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Claessens
|
F | 29 | 30.7 | 12.1 | 5.0 | 1.7 | 1.6 | 0.5 | 1.8 | 9.1 | 10.1 | 53 | 2.4 | 3.4 | 51.7 | 37.5 | 70.7 | 1.57 | 61.0 | 59.1 |
T. Sides
|
G | 31 | 31.9 | 11.9 | 3.0 | 3.4 | 1.6 | 0.1 | 2.5 | 9.5 | 8.1 | 29 | 1.2 | 1.6 | 41.8 | 38.5 | 85.3 | -1.07 | 57.0 | 52.9 |
T. Heal
|
G | 28 | 29.2 | 11.8 | 3.5 | 1.9 | 1.2 | 0.4 | 1.7 | 7.8 | 9.2 | 78 | 3.7 | 6.7 | 49.3 | 33.3 | 87.3 | 2.58 | 62.2 | 53.9 |
J. Speiser
|
G | 31 | 23.0 | 10.6 | 3.3 | 1.0 | 1.0 | 0.3 | 2.0 | 8.4 | 5.7 | 33 | 1.4 | 2.8 | 39.5 | 39.0 | 87.5 | 0.13 | 56.9 | 52.3 |
G. Garcia
|
G | 31 | 29.1 | 7.0 | 2.3 | 5.2 | 1.6 | 0.2 | 2.5 | 5.8 | 7.9 | 63 | 2.5 | 4.4 | 47.5 | 28.6 | 84.4 | 2.26 | 54.3 | 49.7 |
B. Harrod
|
G | 31 | 19.3 | 5.7 | 4.8 | 0.5 | 1.2 | 0.5 | 1.2 | 5.6 | 6.1 | 77 | 3.2 | 5.7 | 41.6 | 0.0 | 41.5 | 3.43 | 42.6 | 41.6 |
I. Arenas
|
G | 18 | 16.2 | 5.5 | 1.3 | 0.8 | 0.4 | 0.0 | 1.2 | 6.1 | 0.7 | 18 | 0.9 | 1.9 | 33.6 | 34.6 | 58.3 | 1.43 | 42.9 | 41.8 |
J. Cotton
|
F | 19 | 14.7 | 4.0 | 3.3 | 0.8 | 0.8 | 0.3 | 1.4 | 4.9 | 2.9 | 36 | 1.9 | 3.7 | 39.4 | 0 | 15.4 | 1.85 | 38.1 | 39.4 |
A. Foy
|
G | 30 | 13.7 | 4.0 | 2.1 | 0.3 | 0.6 | 0.3 | 0.7 | 4.1 | 2.5 | -11 | -0.5 | -1.6 | 32.8 | 28.6 | 59.5 | -1.7 | 43.4 | 40.2 |
I. Scekic
|
C | 13 | 7.3 | 3.2 | 1.9 | 0.3 | 0.1 | 0.6 | 0.8 | 3.1 | 2.3 | - | - | - | 47.5 | 0 | 50.0 | -1.08 | 48.3 | 47.5 |
R. White
|
C | 24 | 8.2 | 1.3 | 1.5 | 0.1 | 0.1 | 0.2 | 0.7 | 1.0 | 1.5 | 7 | 0.4 | 1.5 | 41.7 | 0 | 66.7 | -0.53 | 50.1 | 41.7 |
A. Hess
|
F | 4 | 2.2 | 0.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 1.5 | -0.5 | -1 | -0.5 | -9.4 | 16.7 | 33.3 | 0 | -0.8 | 25.0 | 25.0 |
M. Parks
|
G | 5 | 2.4 | 0.6 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.4 | -0.6 | 12 | 2.0 | 22.5 | 14.3 | 20.0 | 0 | 1.05 | 21.4 | 21.4 |
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