Omaha Mavericks
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 → | 1083 (#284) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1176 (#250) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 969 (#464) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.0 (#359) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -2.7 (#355) | HCA +3.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.356 (#553) | AdjO 71.4 | AdjD 77.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.425 (#337) | 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 → | 0.415 (#342) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 940 (#280) | RD 174 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Simmons
|
G | 31 | 28.4 | 16.7 | 4.0 | 2.1 | 1.2 | 0.6 | 3.0 | 0.9 | 20.7 | -254 | -8.2 | -13.7 | 48.3 | 20.0 | 50.0 | 0.54 | 840.4 | 50.0 |
J. Karhoff
|
C | 31 | 27.8 | 12.0 | 4.1 | 2.4 | 0.8 | 0.7 | 1.7 | 0.6 | 17.7 | -163 | -5.3 | -8.8 | 40.0 | 0.0 | 75.0 | -0.3 | 792.9 | 40.0 |
C. Carter
|
G | 30 | 29.2 | 9.7 | 3.1 | 2.8 | 1.1 | 0.1 | 2.6 | 0.5 | 13.7 | 120 | 9.2 | 8.0 | 42.9 | 66.7 | 0 | 0.53 | 1035.7 | 50.0 |
A. Welhouse
|
- | 31 | 27.0 | 8.3 | 4.7 | 0.7 | 0.6 | 0.1 | 1.4 | 0.2 | 12.8 | -260 | -8.4 | -14.0 | 33.3 | 0.0 | 100.0 | -1.09 | 1649.5 | 33.3 |
A. Phillips
|
G | 31 | 21.1 | 8.2 | 2.5 | 1.4 | 0.7 | 0.0 | 2.3 | 0.5 | 9.9 | -177 | -5.9 | -13.2 | 31.2 | 0.0 | 0 | -0.67 | 793.8 | 31.2 |
M. Tyus
|
G | 31 | 17.1 | 6.0 | 2.5 | 1.0 | 0.6 | 0.1 | 1.2 | 0.2 | 8.6 | -158 | -5.1 | -10.1 | 14.3 | 33.3 | 40.0 | -0.81 | 1005.4 | 21.4 |
C. Steffensmeier
|
G | 31 | 18.5 | 3.5 | 1.4 | 1.6 | 0.7 | 0.2 | 0.6 | 0.3 | 6.6 | -141 | -4.9 | -10.0 | 12.5 | 16.7 | 0 | -0.36 | 687.5 | 18.8 |
K. Doluony
|
F | 7 | 14.9 | 2.7 | 2.6 | 0.4 | 0.6 | 0.0 | 1.6 | 0.0 | 4.7 | -28 | -4.7 | -15.7 | 0 | 0 | 0 | -0.24 | 0 | 0 |
M. Hagerbaumer
|
F | 31 | 13.8 | 2.7 | 3.5 | 0.7 | 0.4 | 0.8 | 0.5 | 0.1 | 7.5 | -126 | -4.1 | -10.3 | 50.0 | 0 | 0 | -0.48 | 2075.0 | 50.0 |
J. Coleman
|
- | 25 | 6.8 | 2.3 | 0.9 | 0.6 | 0.4 | 0.0 | 0.9 | 0.3 | 3.0 | 147 | 4.3 | 7.0 | 42.9 | 50.0 | 50.0 | 0.88 | 361.7 | 50.0 |
S. Krych
|
F | 19 | 8.2 | 2.0 | 1.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.1 | 2.9 | -57 | -3.2 | -10.5 | 100.0 | 0 | 0 | -0.14 | 950.0 | 100.0 |
T. Egli
|
- | 23 | 5.7 | 1.4 | 0.5 | 0.2 | 0.1 | 0.0 | 0.1 | 0.2 | 1.9 | -21 | -0.9 | -3.3 | 75.0 | 66.7 | 100.0 | 0.03 | 338.1 | 100.0 |
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