Arkansas State Red Wolves
2019 Team Stats (3 games)
73.0
PPG
71.7
Opp
+1.3
Margin
37.6%
FG%
25.0%
3P%
74.6%
FT%
44.0
RPG
9.3
APG
9.7
TO
-
Est. poss./game
70.4
Adj PPG
76.0
Adj Opp PPG
#254
Scoring Rank
Model Outputs
2018-2019
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 | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 912 (#240) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 937 (#268) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -5.8 (#249) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -5.5 (#262) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.291 (#284) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.274 (#251) | AdjNet -8.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.273 (#250) | AdjNet -8.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.375 (#254) | AdjO 70.4 | AdjD 76.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.400 (#276) | AdjO 70.1 | AdjD 74.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.346 (#254) | 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 | 0.350 (#259) | 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 | 902 (#242) | RD 139 | GP 30 |
2019 Schedule & Results
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ty Cockfield
|
G | 28 | 35.1 | 21.6 | 3.5 | 3.1 | 1.0 | 0.1 | 2.9 | 5.1 | 21.4 | -118 | 28 | -4.2 | -4.9 | 39.4 | 30.4 | 86.7 | 1.47 | 172.6 | 45.4 |
Marquis Eaton
|
G | 28 | 32.1 | 11.0 | 3.5 | 2.8 | 0.8 | 0.4 | 2.6 | 3.5 | 12.3 | -77 | 28 | -2.8 | -3.5 | 35.7 | 30.0 | 80.8 | 1.23 | 140.7 | 41.8 |
Grantham Gillard
|
G | 28 | 29.0 | 10.1 | 5.8 | 1.0 | 0.9 | 0.2 | 1.2 | 2.8 | 13.9 | -116 | 28 | -4.1 | -5.8 | 44.3 | 42.3 | 61.9 | -2.44 | 160.4 | 58.2 |
Tristin Walley
|
F | 28 | 24.5 | 7.0 | 5.6 | 1.3 | 0.5 | 0.6 | 1.0 | 1.8 | 12.2 | -58 | 28 | -2.1 | -3.4 | 30.0 | 16.7 | 72.1 | 0.11 | 142.9 | 34.0 |
J.J. Matthews
|
F | 24 | 14.7 | 6.4 | 3.3 | 0.4 | 0.3 | 0.6 | 1.4 | 1.3 | 8.3 | -3 | 23 | -0.1 | -0.4 | 50.0 | 0 | 68.8 | 1.94 | 196.0 | 50.0 |
Canberk Kus
|
G | 21 | 16.9 | 6.2 | 2.6 | 1.1 | 0.9 | 0.8 | 1.5 | 0.9 | 9.1 | -100 | 21 | -4.8 | -12.5 | 55.6 | 33.3 | 75.0 | -4.85 | 328.9 | 61.1 |
Christian Willis
|
G | 23 | 13.1 | 4.0 | 1.2 | 0.7 | 0.1 | 0.0 | 0.7 | 1.7 | 3.7 | -27 | 21 | -1.3 | -4.6 | 39.5 | 31.2 | 75.0 | 0.76 | 109.6 | 46.1 |
Salif Boudie
|
F | 26 | 16.5 | 3.9 | 4.1 | 0.3 | 0.3 | 0.7 | 1.0 | 0.8 | 7.6 | -64 | 25 | -2.6 | -6.5 | 65.0 | 0 | 80.8 | -1.6 | 162.2 | 65.0 |
Malik Brevard
|
F | 26 | 16.1 | 3.0 | 4.2 | 0.5 | 0.5 | 0.5 | 1.1 | 0.7 | 6.9 | -97 | 26 | -3.7 | -9.6 | 52.6 | 0.0 | 33.3 | -3.59 | 177.9 | 52.6 |
Kobe Wilson
|
G | 21 | 9.6 | 2.3 | 0.6 | 0.3 | 0.1 | 0.0 | 0.4 | 1.1 | 1.8 | -76 | 21 | -3.6 | -15.8 | 33.3 | 33.3 | 60.0 | -5.73 | 93.5 | 43.8 |
M. McKay
|
- | 1 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Shaquillo Fritz
|
F | 21 | 11.3 | 1.8 | 2.5 | 0.3 | 0.1 | 0.8 | 0.7 | 0.5 | 4.4 | -22 | 21 | -1.0 | -3.4 | 60.0 | 0 | 33.3 | 0.23 | 167.8 | 60.0 |
Jake Scoggins
|
F | 6 | 6.2 | 1.2 | 0.2 | 0.2 | 0.3 | 0.0 | 0.3 | 0.0 | 1.5 | -5 | 6 | -0.8 | -4.0 | 0 | 0 | 0 | -0.91 | 0 | 0 |
Jonathan Adams
|
- | 3 | 3.7 | 0.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | - | - | - | - | 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