Missouri State
2013 Team Stats (6 games)
60.0
PPG
64.7
Opp
-5.1
Margin
41.1%
FG%
33.1%
3P%
71.1%
FT%
25.3
RPG
10.0
APG
10.3
TO
69.6
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 → | 1223 (#204) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1344 (#118) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1016 (#154) | HCA +147 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 994 (#347) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +24.7 (#143) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.9 (#179) | HCA +3.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -13.3 (#501) | HCA +3.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.139 (#201) | NetEff -16.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.476 (#328) | AdjO 61.2 | AdjD 62.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.464 (#384) | AdjO 65.0 | AdjD 66.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.625 (#202) | 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 → | 0.279 (#459) | 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 → | 0.597 (#206) | 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 → | 0.310 (#449) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1029 (#187) | RD 151 | GP 33 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 855 (#498) | RD 350 | GP 1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Downing
|
G | 33 | 34.3 | 13.7 | 4.4 | 2.7 | 1.1 | 0.1 | 1.7 | 3.6 | 16.6 | -107 | -3.3 | -4.8 | 34.2 | 14.6 | 81.7 | 0.29 | 154.7 | 36.7 |
M. Marshall
|
G | 32 | 30.9 | 11.5 | 3.0 | 2.1 | 0.6 | 0.1 | 1.4 | 2.7 | 13.2 | -138 | -4.3 | -6.3 | 46.5 | 37.5 | 83.3 | -0.45 | 180.7 | 57.0 |
C. Kirk
|
F | 32 | 24.9 | 8.7 | 4.2 | 0.7 | 0.4 | 0.1 | 1.2 | 2.4 | 10.4 | -59 | -1.8 | -3.5 | 44.9 | 0 | 47.8 | 0.45 | 158.3 | 44.9 |
G. Thurman
|
F | 31 | 21.2 | 6.9 | 2.8 | 0.7 | 0.2 | 0.1 | 1.4 | 2.9 | 6.5 | -105 | -3.4 | -6.3 | 38.2 | 35.7 | 90.9 | 0.07 | 114.0 | 43.8 |
K. Pickens
|
G | 30 | 23.4 | 6.1 | 4.7 | 1.0 | 0.7 | 0.5 | 1.2 | 1.8 | 10.0 | -84 | -2.8 | -5.8 | 43.6 | 0 | 58.3 | -0.07 | 139.6 | 43.6 |
N. Scheer
|
G | 33 | 22.5 | 5.1 | 2.4 | 0.8 | 0.6 | 0.2 | 0.9 | 1.4 | 6.7 | -162 | -4.9 | -8.8 | 48.9 | 50.0 | 42.9 | -0.73 | 168.7 | 67.0 |
D. Williams
|
G | 30 | 22.9 | 4.3 | 2.2 | 1.9 | 0.6 | 0.1 | 1.6 | 1.5 | 6.1 | 102 | 2.6 | 4.4 | 35.6 | 35.0 | 63.6 | 0.91 | 129.4 | 43.3 |
D. Wilson
|
F | 31 | 13.0 | 2.5 | 3.4 | 0.3 | 0.4 | 0.3 | 0.4 | 0.4 | 6.1 | 94 | 2.7 | 7.1 | 54.5 | 0 | 16.7 | 1.02 | 278.6 | 54.5 |
M. Simpson
|
G | 18 | 8.9 | 1.7 | 0.7 | 0.3 | 0.1 | 0.1 | 0.1 | 0.8 | 2.0 | -18 | -0.9 | -3.1 | 42.9 | 20.0 | 0 | 0.17 | 107.1 | 50.0 |
B. Marshall
|
C | 26 | 8.6 | 1.5 | 1.0 | 0.1 | 0.0 | 0.1 | 0.4 | 0.6 | 1.7 | -83 | -3.3 | -11.6 | 25.0 | 22.2 | 66.7 | -0.77 | 101.9 | 31.2 |
T. Aromona
|
G | 24 | 5.7 | 0.9 | 0.5 | 0.2 | 0.3 | 0.0 | 0.2 | 0.2 | 1.5 | -69 | -2.8 | -7.9 | 50.0 | 100.0 | 0 | -0.33 | 275.0 | 62.5 |
R. Carmichael
|
G | 8 | 1.9 | 0.6 | 0.5 | 0.1 | 0.2 | 0.0 | 0.0 | 0.0 | 1.5 | - | - | - | 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