South Dakota State Jackrabbits
2024 Team Stats (5 games)
52.0
PPG
71.2
Opp
-19.2
Margin
36.4%
FG%
25.9%
3P%
73.5%
FT%
34.8
RPG
10.2
APG
18.4
TO
78.2
Pace
Model Outputs
2023-2024
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1049 (#158) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1244 (#52) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.4 (#52) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.674 (#130) | - |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-20 | @ | South Carolina Gamecocks | L | 38 - 78 |
| 2023-12-05 | vs | Washington State Cougars | L | 64 - 69 |
| 2023-12-17 | @ | Gonzaga Bulldogs | L | 58 - 83 |
| 2023-12-21 | @ | Creighton Bluejays | L | 46 - 58 |
| 2024-03-23 | @ | Utah Utes | L | 54 - 68 |
2024 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 | 5 | 29.0 | 12.8 | 6.2 | 1.6 | 0.4 | 0.2 | 3.8 | 12.6 | 4.8 | 55 | 4.6 | 6.0 | 42.9 | 0 | 76.9 | 0.4 | 46.6 | 42.9 |
P. Meyer
|
G | 4 | 30.5 | 12.2 | 5.8 | 2.5 | 0.5 | 0.0 | 4.2 | 11.8 | 5.0 | 86 | 7.8 | 9.1 | 36.2 | 20.0 | 86.7 | 0.84 | 45.7 | 38.3 |
T. Nelson
|
F | 5 | 28.4 | 9.4 | 3.8 | 2.2 | 1.0 | 1.4 | 3.0 | 9.6 | 5.2 | 68 | 6.2 | 6.3 | 37.5 | 42.9 | 61.5 | 0.81 | 43.7 | 40.6 |
M. Byom
|
F | 5 | 21.8 | 6.6 | 6.0 | 1.0 | 0.2 | 0.6 | 1.0 | 7.0 | 6.4 | 72 | 7.2 | 8.1 | 34.3 | 25.0 | 80.0 | 0.76 | 41.9 | 35.7 |
M. Mathiowetz
|
G | 5 | 32.0 | 5.8 | 2.6 | 1.4 | 0.8 | 0.0 | 2.2 | 6.6 | 1.8 | 27 | 2.5 | 2.8 | 30.3 | 21.4 | 75.0 | 0.09 | 39.7 | 34.8 |
J. Hopp
|
G | 5 | 16.8 | 4.0 | 1.4 | 0.4 | 1.0 | 0.2 | 1.8 | 3.4 | 1.8 | 90 | 10.0 | 16.7 | 41.2 | 50.0 | 57.1 | 1.02 | 49.8 | 47.1 |
M. Vlastuin
|
F | 4 | 27.8 | 3.2 | 3.5 | 1.0 | 0.2 | 0.0 | 1.5 | 3.0 | 3.5 | - | - | - | 41.7 | 37.5 | 0 | - | 54.2 | 54.2 |
N. Nielsen
|
F | 2 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
T. Tollefson
|
G | 2 | 5.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -1.0 | 30 | 5.0 | 19.9 | 50.0 | 0.0 | 0 | 0.38 | 50.0 | 50.0 |
E. Colbeck
|
G | 5 | 21.0 | 0.2 | 3.2 | 0.8 | 0.0 | 0.0 | 0.2 | 2.2 | 1.8 | 87 | 7.9 | 12.1 | 0.0 | 0.0 | 50.0 | 0.83 | 4.2 | 0.0 |
I. Aesoph
|
G | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 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