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) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1202 (#7) | HCA +115 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 967 (#528) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +26.5 (#126) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.2 (#72) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -33.1 (#638) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.448 (#143) | NetEff -2.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.738 (#21) | AdjO 78.7 | AdjD 67.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.232 (#650) | AdjO 64.3 | AdjD 77.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.898 (#38) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.081 (#637) | 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 (#31) | 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 → | 0.102 (#643) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1322 (#18) | RD 122 | GP 32 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 736 (#640) | RD 302 | GP 3 |
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 | 314 | 9.2 | 15.0 | 55.6 | 0.0 | 53.6 | 1.88 | 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 | -0.02 | 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 | 1.68 | 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 | 265 | 7.6 | 11.3 | 51.1 | 39.2 | 92.3 | 0.66 | 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 | 0.81 | 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 | 1.51 | 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 | 295 | 8.4 | 12.8 | 48.7 | 53.3 | 90.0 | 1.37 | 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 | 153 | 4.4 | 11.5 | 52.9 | 0.0 | 80.0 | 0.53 | 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 | 1.0 | 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 | -11 | -0.7 | -3.9 | 33.3 | 33.3 | 0 | -0.64 | 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 | 10 | 0.8 | 9.5 | 100.0 | 0 | 0 | -0.08 | 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 | 12 | 1.0 | 11.5 | 0.0 | 0.0 | 0 | -0.03 | 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