South Dakota Coyotes
2025 Team Stats (1 games)
70.0
PPG
113.0
Opp
-43.0
Margin
41.4%
FG%
33.3%
3P%
70.6%
FT%
19.0
RPG
10.0
APG
10.0
TO
75.5
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
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 → | 1099 (#65) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.3 (#118) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.636 (#105) | AdjO 65.5 | AdjD 59.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.866 (#93) | 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 → | 0.841 (#93) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1224 (#58) | RD 103 | GP 30 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-16 | vs | Nebraska Cornhuskers | L | 70 - 113 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Larkins
|
G | 1 | 37.0 | 28.0 | 5.0 | 6.0 | 3.0 | 0.0 | 4.0 | 18.0 | 20.0 | 67 | 2.2 | 2.1 | 61.1 | 60.0 | 75.0 | 1.26 | 70.9 | 69.4 |
A. Hempe
|
F | 1 | 24.0 | 14.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 12.0 | 3.0 | 56 | 1.9 | 2.0 | 41.7 | 50.0 | 0 | 0.31 | 58.3 | 58.3 |
C. Duffney
|
F | 1 | 32.0 | 10.0 | 3.0 | 2.0 | 0.0 | 0.0 | 3.0 | 7.0 | 5.0 | 46 | 1.5 | 1.6 | 42.9 | 25.0 | 100.0 | 0.51 | 60.1 | 50.0 |
A. Groman
|
G | 1 | 18.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 | 6 | 0.2 | 0.5 | 66.7 | 50.0 | 0 | 0.12 | 83.3 | 83.3 |
O. Kieffer
|
G | 1 | 26.0 | 5.0 | 3.0 | 0.0 | 0.0 | 1.0 | 2.0 | 7.0 | 0.0 | 29 | 0.9 | 1.7 | 14.3 | 0.0 | 75.0 | 0.33 | 28.5 | 14.3 |
C. Mason
|
G | 1 | 30.0 | 5.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | 6.0 | -14 | -0.5 | -1.0 | 66.7 | 50.0 | 0 | -0.13 | 83.3 | 83.3 |
R. Loomis-Goltl
|
F | 1 | 4.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0 | 0.0 | 0.0 | 0 | 0 | 50.0 | -1.39 | 56.8 | 0 |
S. Haydon
|
F | 1 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0 | 0.0 | 0.0 | 0 | 0 | 50.0 | -1.44 | 56.8 | 0 |
A. Klosterbuer
|
G | 1 | 13.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 4.0 | -2.0 | 8 | 0.4 | 1.7 | 0.0 | 0.0 | 0 | -0.23 | 0.0 | 0.0 |
G. Wilke
|
F | 1 | 13.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | -3.0 | 54 | 1.7 | 2.7 | 0.0 | 0.0 | 0 | 0.84 | 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