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South Dakota Coyotes

Also known as: South Dakota Coyotes
Program History

2013 Team Stats (3 games)

64.0
PPG
73.6
Opp
-3.2
Margin
38.7%
FG%
31.3%
3P%
77.6%
FT%
28.3
RPG
12.0
APG
13.0
TO
77.9
Pace

Model Outputs

2012-2013
Catalog

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 → 1174 (#237) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1272 (#159) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 901 (#553) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +18.3 (#263) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +2.3 (#277) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -39.2 More → 0.007 (#307) NetEff -39.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.5 | AdjD 67.8 More → 0.492 (#240) AdjO 67.5 | AdjD 67.8
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.494 (#283) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.473 (#288) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 153 | GP 30 More → 880 (#449) RD 153 | GP 30

2013 Schedule & Results

2013 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. Myles J. Myles G 30 32.3 15.4 3.5 3.0 1.2 0.0 1.9 3.0 18.2 -94 -3.1 -4.3 34.1 30.6 86.1 -0.46 216.7 40.1
T. Gruis T. Gruis C 30 31.1 12.3 6.1 1.9 0.7 0.9 2.7 2.0 17.2 -5 -0.2 -0.3 52.5 0 75.8 0.52 250.3 52.5
B. Bos B. Bos G 29 27.9 11.0 3.9 1.9 0.6 0.0 1.2 1.8 14.3 -58 -2.1 -3.0 49.1 48.0 100.0 -0.31 272.8 60.4
C. Kasperbauer C. Kasperbauer G 29 27.6 8.8 2.0 1.8 1.0 0.0 0.9 1.8 11.0 -25 -0.9 -1.4 38.5 33.3 71.4 0.33 230.6 51.0
K. Rowson K. Rowson G 30 20.4 7.9 3.9 0.7 0.8 0.4 1.5 1.9 10.4 -13 -0.4 -0.8 53.6 16.7 72.2 0.71 164.9 54.5
S. Tecker S. Tecker G 29 20.1 5.3 3.5 1.3 0.8 0.0 1.1 1.0 8.9 -72 -2.5 -4.8 42.9 50.0 50.0 -0.55 260.4 46.4
T. Flack T. Flack F 29 19.6 5.1 3.9 0.7 0.4 1.4 1.3 1.3 8.9 -79 -2.7 -5.7 41.0 36.4 55.6 -0.05 172.3 46.2
J. Boots J. Boots G 30 17.1 3.6 0.8 1.2 0.5 0.0 1.0 1.2 4.0 -37 -1.2 -2.4 31.4 30.8 0 -0.02 155.7 42.9
E. Robertson E. Robertson F 22 7.3 2.7 0.8 0.1 0.2 0.0 0.4 0.8 2.6 -45 -0.8 -2.5 27.8 30.0 28.6 -0.31 139.9 36.1
J. Bartling J. Bartling C 12 3.8 0.2 0.8 0.2 0.0 0.0 0.2 0.1 0.9 -22 -1.7 -8.1 0.0 0 0 -0.2 100.0 0.0
J. Foley J. Foley G 3 1.7 0.0 0.0 0.0 0.3 0.0 0.3 0.0 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