South Dakota State Jackrabbits
2013 Team Stats (3 games)
63.3
PPG
65.7
Opp
+7.7
Margin
43.4%
FG%
33.8%
3P%
82.4%
FT%
30.3
RPG
14.3
APG
16.0
TO
74.0
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 → | 1219 (#206) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1427 (#77) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1083 (#64) | HCA +147 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 986 (#426) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +26.9 (#115) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.1 (#100) | HCA +3.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -29.4 (#577) | HCA +3.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.131 (#205) | NetEff -17.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.662 (#59) | AdjO 69.7 | AdjD 62.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.320 (#575) | AdjO 59.6 | AdjD 67.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.806 (#81) | 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 → | 0.053 (#590) | 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 → | 0.787 (#79) | 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 → | 0.083 (#586) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1158 (#83) | RD 119 | GP 35 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 772 (#565) | RD 350 | GP 3 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Wolters
|
G | 33 | 38.1 | 22.3 | 5.6 | 5.8 | 1.7 | 0.1 | 2.3 | 3.1 | 30.1 | - | - | - | 48.0 | 29.4 | 86.0 | 0.98 | 296.4 | 52.9 |
J. Dykstra
|
F | 35 | 32.5 | 12.5 | 7.9 | 1.4 | 0.5 | 0.5 | 1.9 | 2.3 | 18.6 | 186 | 5.3 | 7.0 | 42.0 | 37.1 | 81.0 | 0.66 | 241.6 | 50.0 |
T. Fiegen
|
F | 35 | 31.9 | 10.2 | 5.4 | 1.5 | 0.5 | 0.2 | 1.5 | 1.8 | 14.5 | 199 | 5.7 | 8.4 | 59.7 | 0 | 76.9 | 1.3 | 263.6 | 59.7 |
C. White
|
G | 35 | 31.5 | 9.8 | 3.9 | 1.3 | 0.5 | 0.5 | 1.2 | 1.8 | 13.0 | 243 | 6.9 | 10.2 | 45.2 | 42.6 | 71.4 | 1.68 | 262.8 | 61.3 |
B. Carlson
|
G | 35 | 34.6 | 9.1 | 3.9 | 2.5 | 0.8 | 0.3 | 1.2 | 1.7 | 13.7 | 257 | 7.3 | 9.6 | 43.1 | 37.5 | 76.9 | 1.37 | 248.7 | 53.4 |
T. Prince
|
G | 25 | 14.1 | 4.4 | 2.1 | 0.6 | 0.3 | 0.0 | 0.8 | 0.9 | 5.6 | 28 | 1.1 | 2.7 | 34.8 | 25.0 | 77.8 | 0.28 | 202.2 | 37.0 |
M. Heemstra
|
F | 34 | 11.8 | 4.2 | 2.7 | 0.8 | 0.3 | 0.5 | 0.8 | 0.6 | 7.1 | 69 | 2.1 | 5.4 | 60.0 | 0 | 85.7 | -0.14 | 307.6 | 60.0 |
Z. Horstman
|
G | 18 | 8.4 | 2.6 | 1.5 | 0.8 | 0.1 | 0.2 | 0.1 | 1.1 | 4.0 | -4 | -0.2 | -0.7 | 47.4 | 36.4 | 0 | -0.76 | 121.1 | 57.9 |
J. Bittle
|
G | 24 | 12.3 | 2.5 | 1.1 | 0.9 | 0.6 | 0.0 | 1.2 | 0.6 | 3.4 | 20 | 0.8 | 2.0 | 35.7 | 33.3 | 100.0 | -0.27 | 205.0 | 42.9 |
C. Jacobsen
|
G | 10 | 5.8 | 2.0 | 0.2 | 0.3 | 0.0 | 0.0 | 0.2 | 0.3 | 2.0 | 21 | 1.9 | 10.7 | 66.7 | 66.7 | 50.0 | 0.2 | 210.1 | 100.0 |
J. Feilmeier
|
- | 4 | 4.2 | 0.8 | 0.5 | 0.2 | 0.2 | 0.0 | 0.5 | 0.5 | 0.8 | - | - | - | 0.0 | 0.0 | 0 | - | 75.0 | 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