🐻⬇️🏀

South Dakota Coyotes

Also known as: South Dakota Coyotes
Program History

2022 Team Stats (4 games)

79.3
PPG
70.5
Opp
+5.0
Margin
49.3%
FG%
27.4%
3P%
72.6%
FT%
34.8
RPG
11.3
APG
9.3
TO
76.7
Pace

Model Outputs

2021-2022
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 → 1060 (#231) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1090 (#243) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 1063 (#104) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +17.3 (#273) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → +12.7 (#158) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +0.5 More → 0.513 (#121) NetEff +0.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.8 | AdjD 66.9 More → 0.632 (#90) AdjO 72.8 | AdjD 66.9
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 → 0.758 (#152) 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 → 0.743 (#139) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 144 | GP 30 More → 1116 (#133) RD 144 | GP 30

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 D. Wilson F 1 32.0 25.0 4.0 3.0 0.0 2.0 4.0 0.0 30.0 314 9.2 15.0 0 0 0 1.88 0 0
P. Bruns P. Bruns G 1 30.0 17.0 3.0 0.0 0.0 0.0 0.0 0.0 20.0 -198 -6.4 -8.2 0 0 0 -0.34 0 0
K. Perrott-Hunt K. Perrott-Hunt - 30 31.7 15.2 4.1 2.3 0.3 0.1 1.6 4.5 16.0 85 2.7 3.6 43.3 33.9 89.3 0.29 143.7 50.4
M. Archambault M. Archambault - 30 33.2 14.4 3.4 2.2 1.2 0.5 1.3 3.2 17.3 142 4.6 5.8 44.8 35.4 95.9 1.04 184.2 53.6
S. Hemphill S. Hemphill F 1 21.0 14.0 5.0 0.0 2.0 1.0 3.0 12.0 7.0 93 2.9 4.5 50.0 100.0 33.3 0.44 52.6 54.2
T. Murphy T. Murphy F 1 20.0 13.0 4.0 1.0 1.0 0.0 0.0 5.0 14.0 214 5.9 8.4 60.0 66.7 83.3 1.42 85.1 80.0
T. Kamateros T. Kamateros - 16 26.1 11.3 5.0 1.9 0.2 0.3 1.3 3.7 13.7 72 2.3 3.4 42.4 31.2 75.0 0.45 140.8 50.8
X. Fuller X. Fuller - 14 24.6 10.9 3.8 0.9 0.6 0.5 1.5 2.7 12.6 -16 -0.7 -1.2 52.6 16.7 83.3 -0.5 176.8 53.9
K. Cunningham K. Cunningham G 1 23.0 9.0 2.0 2.0 0.0 0.0 0.0 8.0 5.0 14 0.7 4.0 50.0 25.0 0 0.25 56.2 56.2
L. Moerman L. Moerman C 1 26.0 9.0 9.0 0.0 0.0 1.0 1.0 0.0 18.0 -184 -6.8 -14.1 0 0 0 -1.26 0 0
E. Lufile E. Lufile F 2 21.0 8.5 8.0 0.0 0.0 1.0 0.0 5.0 12.5 131 4.7 11.6 70.0 0 33.3 1.07 75.1 70.0
F. Lacis F. Lacis F 2 30.0 7.5 5.5 2.5 1.0 1.0 0.0 4.5 13.0 - - - 55.6 55.6 0 - 83.3 83.3
H. Goodrick H. Goodrick - 20 24.4 7.0 7.7 1.5 0.7 0.2 1.4 2.1 13.6 - - - 54.8 44.4 30.4 0.83 135.3 59.5
E. Oliver E. Oliver - 19 18.4 6.8 2.4 0.7 0.5 0.2 0.7 1.5 8.4 76 2.6 6.3 32.1 27.3 44.4 0.69 201.8 37.5
B. Anderson B. Anderson - 20 20.8 6.4 1.4 1.3 0.7 0.1 0.8 2.1 6.9 90 2.9 5.4 51.2 0 50.0 0.75 127.9 51.2
J. Jackson J. Jackson G 1 7.0 6.0 0.0 0.0 0.0 0.0 0.0 3.0 3.0 92 2.6 4.3 66.7 66.7 0 0.21 100.0 100.0
M. Burchill M. Burchill G 4 12.0 5.8 1.2 1.2 0.2 0.0 0.8 2.0 5.8 - - - 50.0 50.0 80.0 0.13 92.7 62.5
D. Hayes D. Hayes - 26 18.9 3.6 3.8 0.7 0.3 0.3 0.5 0.8 7.5 110 4.2 8.6 60.0 0 60.0 0.91 192.6 60.0
Z. Theisen Z. Theisen - 1 9.0 3.0 2.0 1.0 0.0 0.0 0.0 2.0 4.0 45 2.8 17.2 50.0 50.0 0 0.37 75.0 75.0
N. Zizic N. Zizic F 16 7.0 2.8 1.4 0.4 0.1 0.2 0.5 0.4 4.0 45 1.9 10.3 85.7 0 75.0 0.42 251.1 85.7
K. Kutcher K. Kutcher G 11 10.2 2.5 1.0 0.1 0.1 0.0 0.4 0.5 2.8 16 1.5 5.1 33.3 25.0 66.7 0.01 191.3 41.7
K. Koster K. Koster G 9 6.7 2.2 0.9 0.1 0.1 0.0 0.3 1.0 2.0 - - - 44.4 50.0 100.0 -0.34 101.2 50.0
J. Ewing J. Ewing - 1 5.0 2.0 0.0 0.0 0.0 1.0 0.0 0.0 3.0 -10 -0.3 -1.2 0 0 0 -0.26 0 0
D. Sears D. Sears F 1 14.0 0.0 6.0 0.0 1.0 0.0 1.0 0.0 6.0 16 0.5 1.2 0 0 0 -0.23 0 0
C. Simmons C. Simmons G 1 7.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 -47 -2.1 -6.4 0 0 0 -0.07 0 0
B. Hedstrom B. Hedstrom G 1 21.0 0.0 6.0 0.0 0.0 0.0 1.0 2.0 3.0 -17 -0.6 -1.0 0.0 0.0 0 0.21 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