South Dakota State Jackrabbits
2026 Team Stats (29 games)
75.0
PPG
73.1
Opp
+1.9
Margin
45.4%
FG%
34.1%
3P%
71.3%
FT%
37.6
RPG
14.1
APG
11.3
TO
78.8
Pace
73.1
AdjO
75.8
AdjD
#203
Rank
Model Outputs
2025-2026
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 → | 846 (#296) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 896 (#258) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 989 (#519) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 972 (#564) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.1 (#194) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.7 (#247) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -29.6 (#673) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.495 (#182) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.309 (#224) | NetEff -7.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.385 (#212) | AdjNet -4.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.386 (#212) | AdjNet -4.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.440 (#203) | AdjO 73.1 | AdjD 75.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.525 (#206) | AdjO 72.7 | AdjD 71.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.371 (#657) | AdjO 71.8 | AdjD 77.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.675 (#234) | 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 → | 0.097 (#675) | 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 → | 0.631 (#240) | 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 → | 0.140 (#673) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 958 (#279) | RD 156 | GP 29 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 758 (#687) | RD 350 | GP 3 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Sayler
|
G | 29 | 32.6 | 14.6 | 3.7 | 2.5 | 0.4 | 0.1 | 1.8 | 11.9 | 7.6 | 55 | 2.3 | 3.7 | 43.6 | 40.4 | 83.6 | -0.06 | 56.1 | 52.5 |
D. Wilkinson
|
- | 29 | 24.2 | 13.9 | 6.5 | 1.2 | 0.4 | 0.8 | 1.7 | 8.8 | 12.4 | 43 | 1.9 | 3.9 | 59.1 | 0.0 | 73.0 | 0.06 | 63.8 | 59.1 |
J. Jackson
|
G | 29 | 31.8 | 12.1 | 4.3 | 2.5 | 1.6 | 0.1 | 1.3 | 11.1 | 8.2 | -82 | -3.3 | -9.5 | 37.2 | 32.0 | 79.0 | -1.54 | 50.1 | 46.7 |
K. Garry
|
G | 29 | 29.4 | 10.6 | 5.2 | 3.0 | 0.6 | 0.1 | 1.6 | 9.3 | 8.8 | -51 | -2.1 | -4.7 | 40.7 | 36.9 | 66.0 | -0.03 | 52.7 | 50.9 |
M. Mors
|
F | 29 | 27.6 | 8.4 | 4.1 | 1.2 | 1.0 | 0.4 | 1.0 | 6.4 | 7.7 | -48 | -2.0 | -4.3 | 50.0 | 28.8 | 78.7 | -0.15 | 59.0 | 55.6 |
T. Buchanan
|
- | 9 | 14.4 | 7.3 | 1.1 | 0.9 | 0.7 | 0.0 | 1.6 | 4.7 | 3.8 | 41 | 4.6 | 18.9 | 54.8 | 43.8 | 100.0 | 0.27 | 73.9 | 71.4 |
B. Alvarez
|
- | 18 | 14.7 | 4.5 | 2.7 | 1.2 | 0.8 | 0.1 | 0.9 | 3.8 | 4.5 | 8 | 0.4 | 1.8 | 44.1 | 23.5 | 54.8 | -0.03 | 49.6 | 47.1 |
A. Squires
|
- | 29 | 14.6 | 4.0 | 3.4 | 0.7 | 0.2 | 0.3 | 1.0 | 2.5 | 5.2 | 28 | 1.2 | 4.0 | 58.3 | 0 | 58.9 | -0.04 | 60.5 | 58.3 |
L. Haertle
|
- | 27 | 15.3 | 3.9 | 2.9 | 1.4 | 0.5 | 0.1 | 1.2 | 3.7 | 4.1 | 13 | 0.6 | 2.4 | 38.4 | 25.0 | 60.0 | -0.27 | 46.3 | 42.9 |
Jaden Rogers
|
- | 14 | 9.6 | 2.1 | 1.6 | 0.1 | 0.2 | 0.2 | 0.2 | 1.7 | 2.3 | 0 | 0.0 | 0.0 | 45.8 | 25.0 | 75.0 | -0.32 | 56.3 | 54.2 |
A. Burton Jr.
|
- | 4 | 3.2 | 1.8 | 1.2 | 0.2 | 0.5 | 0.2 | 0.8 | 1.0 | 2.2 | -11 | -3.7 | -12.7 | 75.0 | 0.0 | 33.3 | -0.14 | 65.8 | 75.0 |
Caleb Delzell
|
- | 25 | 8.6 | 1.4 | 1.8 | 0.5 | 0.1 | 0.0 | 0.4 | 1.6 | 1.9 | 9 | 0.5 | 2.1 | 35.9 | 30.4 | 25.0 | -0.03 | 44.2 | 44.9 |
J. Cascio Jensen
|
- | 3 | 2.7 | 0.7 | 0.7 | 0.3 | 0.3 | 0.0 | 0.3 | 1.0 | 0.7 | 14 | 4.7 | 236.6 | 33.3 | 0.0 | 0 | 0.03 | 33.3 | 33.3 |
Davis Kern
|
F | 0 | - | 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