South Dakota State Jackrabbits
2022 Team Stats (5 games)
75.8
PPG
73.7
Opp
+12.0
Margin
47.1%
FG%
34.3%
3P%
71.4%
FT%
34.2
RPG
11.8
APG
9.8
TO
77.8
Pace
Model Outputs
2021-2022
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 → | 1092 (#205) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1278 (#109) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +26.5 (#126) | HCA +2.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.448 (#143) | NetEff -2.0 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Wilson
|
F | 5 | 28.0 | 17.0 | 7.2 | 1.6 | 1.4 | 0.4 | 2.2 | 12.6 | 12.8 | - | - | - | 55.6 | 0.0 | 53.6 | - | 56.4 | 55.6 |
Noah Freidel
|
- | 3 | 23.0 | 14.3 | 2.0 | 0.3 | 0.3 | 0.0 | 2.0 | 9.3 | 5.7 | - | - | - | 50.0 | 35.7 | 83.3 | - | 64.6 | 58.9 |
B. Scheierman
|
- | 5 | 36.0 | 14.2 | 8.0 | 4.0 | 0.6 | 0.0 | 2.4 | 13.6 | 10.8 | - | - | - | 36.8 | 31.0 | 70.6 | - | 47.0 | 43.4 |
Z. Mayo
|
G | 32 | 27.5 | 9.5 | 2.8 | 2.0 | 0.8 | 0.0 | 1.2 | 2.8 | 11.1 | - | - | - | 51.1 | 39.2 | 92.3 | - | 158.3 | 62.2 |
L. Appel
|
- | 32 | 17.3 | 8.9 | 3.7 | 1.2 | 0.1 | 0.4 | 1.4 | 1.9 | 11.1 | - | - | - | 65.6 | 0.0 | 71.4 | - | 212.9 | 65.6 |
C. Easley
|
- | 32 | 25.2 | 8.3 | 3.3 | 1.3 | 1.1 | 0.2 | 0.7 | 1.7 | 11.9 | - | - | - | 42.6 | 43.3 | 62.5 | - | 230.4 | 54.6 |
A. Arians
|
- | 32 | 26.8 | 8.2 | 4.0 | 2.1 | 0.7 | 0.2 | 1.2 | 2.4 | 11.6 | - | - | - | 48.7 | 53.3 | 90.0 | - | 155.1 | 59.2 |
M. Dentlinger
|
- | 32 | 14.8 | 5.4 | 2.7 | 0.7 | 0.2 | 0.6 | 0.6 | 1.1 | 7.9 | - | - | - | 52.9 | 0.0 | 80.0 | - | 213.1 | 52.9 |
M. Mims
|
- | 31 | 15.8 | 4.5 | 1.3 | 0.7 | 0.4 | 0.0 | 0.6 | 0.6 | 5.6 | - | - | - | 45.0 | 43.8 | 100.0 | - | 295.5 | 62.5 |
D. Wingett
|
F | 2 | 7.5 | 3.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.5 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
A. Fiegen
|
- | 11 | 3.1 | 1.3 | 0.7 | 0.2 | 0.1 | 0.0 | 0.4 | 0.1 | 1.8 | - | - | - | 100.0 | 0 | 0 | - | 700.0 | 100.0 |
William Mfum
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jaylon Gentry
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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