South Dakota State Jackrabbits
2026 Team Stats (29 games)
75.1
PPG
60.7
Opp
+14.4
Margin
47.9%
FG%
34.1%
3P%
74.1%
FT%
38.4
RPG
15.8
APG
13.7
TO
79.2
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 → | 1187 (#9) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +30.4 (#41) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.827 (#20) | AdjO 72.4 | AdjD 55.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.955 (#32) | 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 → | 0.945 (#26) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1286 (#24) | RD 118 | GP 29 |
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. Meyer
|
F | 29 | 29.6 | 22.4 | 7.9 | 2.3 | 1.0 | 1.8 | 2.3 | 13.3 | 19.8 | 9 | 0.4 | 0.5 | 64.9 | 0.0 | 73.9 | 3.73 | 68.4 | 64.9 |
M. Mathiowetz
|
G | 29 | 28.7 | 13.0 | 3.5 | 2.2 | 1.3 | 0.1 | 1.0 | 10.4 | 8.8 | -5 | -0.2 | -0.3 | 44.4 | 37.2 | 89.0 | -0.38 | 56.6 | 51.8 |
K. Vasecka
|
G | 17 | 24.5 | 8.1 | 2.9 | 1.8 | 0.9 | 0.2 | 2.1 | 7.5 | 4.3 | 25 | 1.3 | 1.8 | 40.6 | 25.0 | 68.8 | -0.22 | 48.2 | 44.9 |
E. Fox
|
G | 24 | 23.9 | 8.0 | 2.5 | 2.6 | 0.6 | 0.1 | 1.1 | 6.3 | 6.4 | 46 | 2.7 | 4.0 | 45.0 | 46.2 | 100.0 | 1.62 | 62.3 | 60.9 |
H. Thul
|
G | 28 | 23.4 | 6.5 | 3.1 | 1.8 | 1.0 | 0.5 | 2.0 | 5.5 | 5.3 | 40 | 1.8 | 3.7 | 44.5 | 37.1 | 72.4 | 3.12 | 54.2 | 51.9 |
M. Abdouch
|
G | 28 | 18.1 | 6.2 | 2.0 | 2.4 | 1.3 | 0.1 | 2.1 | 5.2 | 4.8 | 26 | 1.1 | 2.5 | 44.1 | 37.8 | 75.0 | 1.1 | 55.9 | 53.8 |
M. Hartwig
|
F | 27 | 16.8 | 4.6 | 5.1 | 0.7 | 0.4 | 0.5 | 1.0 | 4.5 | 5.8 | -7 | -0.3 | -0.4 | 36.1 | 16.7 | 76.5 | -1.53 | 44.9 | 39.8 |
B. Felchle
|
F | 27 | 8.8 | 3.8 | 1.9 | 0.2 | 0.3 | 0.1 | 0.7 | 2.9 | 2.7 | -20 | -1.1 | -5.0 | 57.0 | 0 | 46.4 | -0.96 | 56.4 | 57.0 |
E. Colbeck
|
G | 29 | 14.1 | 3.3 | 1.3 | 1.3 | 0.2 | 0.1 | 0.6 | 2.3 | 3.3 | 15 | 0.7 | 1.5 | 42.6 | 40.5 | 70.0 | 0.16 | 59.1 | 55.1 |
H. Behrens
|
G | 29 | 19.0 | 3.0 | 4.7 | 1.3 | 0.8 | 0.3 | 1.1 | 2.9 | 6.1 | 8 | 0.4 | 0.9 | 33.7 | 25.0 | 74.1 | -2.81 | 46.4 | 41.0 |
A. Hoselton
|
G | 15 | 5.3 | 1.9 | 1.2 | 0.3 | 0.3 | 0.0 | 0.5 | 1.7 | 1.4 | 4 | 0.3 | 2.1 | 42.3 | 0.0 | 60.0 | -0.4 | 46.1 | 42.3 |
C. Sheppard
|
G | 19 | 7.2 | 1.2 | 1.0 | 0.7 | 0.2 | 0.1 | 0.4 | 1.3 | 1.5 | 28 | 1.8 | 10.4 | 37.5 | 30.8 | 50.0 | 1.09 | 46.2 | 45.8 |
J. Dunn
|
F | 18 | 5.1 | 0.3 | 0.6 | 0.1 | 0.3 | 0.1 | 0.4 | 0.6 | 0.3 | 17 | 1.1 | 10.8 | 18.2 | 0.0 | 50.0 | -0.09 | 21.0 | 18.2 |
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