Arkansas State Red Wolves
2016 Team Stats (1 games)
70.0
PPG
74.0
Opp
-4.0
Margin
38.7%
FG%
27.3%
3P%
69.6%
FT%
42.0
RPG
13.0
APG
18.0
TO
-
Est. poss./game
71.7
Adj PPG
77.2
Adj Opp PPG
#253
Scoring Rank
Model Outputs
2015-2016
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 โ | 765 (#304) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 856 (#269) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 886 (#313) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -5.8 (#253) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -6.1 (#256) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.313 (#255) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.283 (#246) | AdjNet -8.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.282 (#246) | AdjNet -8.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.378 (#253) | AdjO 71.7 | AdjD 77.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.395 (#267) | AdjO 71.0 | AdjD 75.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.305 (#276) | 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 โ | 0.307 (#280) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 821 (#286) | RD 148 | GP 29 |
2016 Schedule & Results
2016 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Devin Carter
|
G | 29 | 36.0 | 17.0 | 4.3 | 1.9 | 0.8 | 0.3 | 1.8 | 2.6 | 20.0 | -40 | 27 | -1.5 | -1.7 | 44.0 | 41.0 | 61.5 | 3.91 | 285.7 | 54.7 |
Anthony Livingston
|
F | 29 | 30.6 | 15.4 | 9.5 | 0.4 | 0.6 | 0.8 | 1.8 | 2.2 | 22.8 | -96 | 27 | -3.6 | -4.9 | 35.9 | 28.6 | 80.6 | -1.16 | 287.2 | 39.1 |
Donte Thomas
|
G | 24 | 32.3 | 11.1 | 5.8 | 5.6 | 1.2 | 0.3 | 2.9 | 1.7 | 19.4 | -42 | 22 | -1.9 | -2.5 | 48.8 | 50.0 | 63.2 | -0.31 | 230.4 | 51.2 |
Sean Gardner
|
G | 28 | 33.0 | 10.9 | 3.5 | 1.7 | 0.9 | 0.2 | 1.8 | 1.8 | 13.6 | -107 | 26 | -4.1 | -5.1 | 25.5 | 25.0 | 100.0 | -1.74 | 283.4 | 32.4 |
Nouhoum Bocoum
|
C | 28 | 15.0 | 7.2 | 4.1 | 0.4 | 0.1 | 0.7 | 1.0 | 1.6 | 9.8 | 0 | 26 | 0.0 | 0.0 | 45.5 | 0 | 66.7 | -0.63 | 188.8 | 45.5 |
Frederic Dure
|
G | 28 | 23.6 | 5.9 | 3.3 | 2.0 | 0.6 | 0.7 | 1.8 | 0.8 | 9.9 | -28 | 26 | -1.1 | -1.9 | 45.5 | 41.7 | 46.7 | -0.19 | 288.5 | 56.8 |
Kelvin Downs
|
F | 8 | 13.2 | 5.1 | 3.0 | 0.2 | 0.2 | 1.0 | 1.1 | 1.4 | 7.1 | -20 | 7 | -2.9 | -12.1 | 54.5 | 0 | 100.0 | -3.6 | 179.2 | 54.5 |
Charles Waters
|
F | 29 | 14.0 | 4.2 | 3.7 | 0.3 | 0.6 | 1.1 | 0.9 | 0.7 | 8.4 | 20 | 27 | 0.7 | 2.3 | 47.4 | 0 | 68.8 | 0.26 | 236.2 | 47.4 |
Connor Kern
|
G | 7 | 11.7 | 3.3 | 0.9 | 0.3 | 0.4 | 0.0 | 0.6 | 1.0 | 3.3 | 3 | 6 | 0.5 | 1.8 | 42.9 | 42.9 | 0 | -1.5 | 164.3 | 64.3 |
Christian Davis
|
F | 26 | 8.2 | 1.5 | 1.4 | 0.0 | 0.2 | 0.2 | 0.7 | 0.4 | 2.2 | -52 | 24 | -2.2 | -11.3 | 18.2 | 0 | 75.0 | -4.39 | 130.9 | 18.2 |
Josh Pierre
|
- | 22 | 13.0 | 1.0 | 1.3 | 0.2 | 0.2 | 0.0 | 0.2 | 0.0 | 2.5 | - | - | - | - | 0.0 | 0.0 | 100.0 | - | 585.1 | 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