South Dakota Coyotes
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
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. More → | 901 (#553) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.3 (#263) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.3 (#277) | HCA +3.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.007 (#307) | NetEff -39.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. 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. 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. 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. 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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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