Arkansas State Red Wolves
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 → | 1396 (#111) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1225 (#205) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1019 (#148) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.0 (#165) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.7 (#166) | HCA +3.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.563 (#139) | AdjO 64.3 | AdjD 61.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.702 (#151) | 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 → | 0.677 (#154) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1057 (#171) | RD 146 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Townsel
|
G | 31 | 29.8 | 13.1 | 3.2 | 1.2 | 1.6 | 0.0 | 1.5 | 1.4 | 16.2 | 154 | 5.0 | 6.7 | 36.4 | 34.6 | 64.3 | 0.69 | 405.7 | 46.6 |
B. Peterson
|
F | 31 | 33.2 | 10.5 | 9.7 | 0.9 | 0.9 | 1.3 | 1.6 | 1.0 | 20.7 | 145 | 4.7 | 6.5 | 50.0 | 0.0 | 65.0 | 0.89 | 398.3 | 50.0 |
T. Finn
|
G | 30 | 33.7 | 10.4 | 4.9 | 1.7 | 1.4 | 0.4 | 1.4 | 1.4 | 15.9 | 122 | 4.1 | 5.5 | 32.6 | 23.3 | 76.2 | 0.95 | 298.6 | 40.7 |
C. Golden
|
G | 31 | 20.1 | 7.4 | 2.7 | 2.1 | 1.0 | 0.1 | 2.0 | 1.4 | 9.9 | 65 | 2.1 | 4.9 | 34.9 | 26.1 | 75.0 | 0.46 | 237.2 | 41.9 |
M. Hooten
|
G | 31 | 19.4 | 7.1 | 2.2 | 1.1 | 0.5 | 0.0 | 1.4 | 1.1 | 8.4 | 82 | 2.6 | 6.4 | 20.6 | 9.1 | 86.7 | 0.49 | 269.7 | 22.1 |
K. Washington
|
F | 27 | 23.0 | 6.8 | 4.6 | 0.9 | 0.6 | 0.6 | 1.9 | 1.0 | 10.5 | 7 | 0.8 | 1.0 | 50.0 | 0.0 | 50.0 | 0.28 | 301.0 | 50.0 |
R. Worsham
|
G | 29 | 17.8 | 6.4 | 3.1 | 0.4 | 0.8 | 0.4 | 1.1 | 0.6 | 9.4 | 37 | 1.3 | 2.8 | 44.4 | 25.0 | 46.7 | -0.05 | 378.0 | 47.2 |
R. Dickerson
|
G | 31 | 20.8 | 4.9 | 2.0 | 2.2 | 1.3 | 0.0 | 1.3 | 0.6 | 8.5 | 102 | 3.3 | 6.1 | 47.4 | 33.3 | 55.6 | 0.62 | 333.2 | 50.0 |
K. Downs
|
F | 29 | 12.6 | 3.3 | 1.9 | 0.1 | 0.3 | 0.3 | 1.0 | 0.3 | 4.7 | 67 | 2.3 | 7.5 | 50.0 | 0.0 | 0 | 0.47 | 480.0 | 50.0 |
S. Kisler
|
F | 1 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Pierre
|
- | 4 | 2.0 | 1.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.8 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Weaver
|
- | 8 | 3.1 | 1.1 | 0.8 | 0.4 | 0.1 | 0.0 | 0.2 | 0.0 | 2.1 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Brown
|
- | 4 | 1.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 242 | 7.1 | 12.5 | 0 | 0 | 0 | 1.11 | 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