Arkansas State Red Wolves
2022 Team Stats (29 games)
70.9
PPG
68.1
Opp
+2.8
Margin
45.1%
FG%
31.1%
3P%
74.5%
FT%
36.0
RPG
15.6
APG
13.9
TO
-
Est. poss./game
67.1
Adj PPG
68.9
Adj Opp PPG
#197
Scoring Rank
Model Outputs
2021-2022
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 | 999 (#151) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1041 (#146) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1006 (#169) | HCA +78 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -1.9 (#197) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -2.6 (#209) | HCA +2.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.510 (#171) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.406 (#204) | AdjNet -3.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.406 (#201) | AdjNet -3.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.461 (#197) | AdjO 67.1 | AdjD 68.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.481 (#193) | AdjO 67.0 | AdjD 67.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.469 (#192) | 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 | 0.473 (#191) | 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 | 1025 (#159) | RD 149 | GP 26 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Norchad Omier
|
- | 29 | 28.9 | 17.9 | 12.2 | 1.2 | 1.6 | 2.0 | 2.7 | 11.1 | 21.1 | 92 | 25 | 3.7 | 5.1 | 63.2 | 33.3 | 72.9 | 3.42 | 66.8 | 63.4 |
D. Sills
|
- | 28 | 29.7 | 12.6 | 3.6 | 2.8 | 1.8 | 0.2 | 2.5 | 10.2 | 8.4 | 47 | 24 | 2.0 | 2.6 | 44.6 | 25.5 | 72.7 | 0.21 | 53.6 | 49.1 |
M. Eaton
|
G | 29 | 31.4 | 11.5 | 2.8 | 3.5 | 1.0 | 0.2 | 2.8 | 10.2 | 6.0 | 57 | 25 | 2.3 | 2.9 | 36.7 | 31.2 | 87.9 | 2.16 | 49.4 | 42.6 |
C. Fields
|
- | 29 | 31.2 | 7.3 | 3.6 | 4.4 | 1.1 | 0.1 | 2.0 | 7.0 | 7.4 | 48 | 25 | 1.9 | 2.5 | 33.8 | 28.1 | 83.6 | -0.19 | 45.4 | 38.2 |
M. Davis
|
- | 25 | 17.6 | 6.2 | 2.7 | 0.8 | 0.5 | 0.3 | 0.6 | 5.0 | 4.9 | -49 | 22 | -2.2 | -5.0 | 47.6 | 31.6 | 69.7 | -4.41 | 55.2 | 52.4 |
M. Farrington
|
- | 28 | 13.1 | 4.3 | 1.3 | 0.6 | 0.4 | 0.1 | 0.4 | 4.2 | 2.1 | 36 | 24 | 1.5 | 4.5 | 35.0 | 33.7 | 83.3 | 2.4 | 50.6 | 49.6 |
K. Wesley
|
F | 28 | 19.2 | 4.3 | 3.4 | 0.8 | 0.6 | 0.0 | 1.1 | 3.5 | 4.6 | 29 | 24 | 1.2 | 2.6 | 51.5 | 0 | 53.8 | -3.97 | 53.0 | 51.5 |
Antwon Jackson
|
F | 24 | 12.2 | 3.3 | 2.6 | 0.6 | 0.5 | 0.2 | 0.7 | 2.5 | 4.1 | -57 | 21 | -2.7 | -9.1 | 46.7 | 0 | 79.3 | -3.81 | 54.3 | 46.7 |
Avery Felts
|
G | 23 | 14.4 | 3.2 | 1.4 | 0.7 | 0.6 | 0.2 | 0.5 | 2.7 | 2.9 | -28 | 20 | -1.4 | -4.0 | 41.9 | 41.3 | 50.0 | -2.38 | 57.2 | 57.3 |
C. London
|
- | 2 | 11.5 | 2.5 | 3.5 | 0.0 | 0.0 | 0.5 | 0.5 | 3.5 | 2.5 | - | - | - | - | 28.6 | 50.0 | 0.0 | -2.63 | 33.6 | 35.7 |
Lazar Grbovic
|
- | 14 | 5.4 | 2.1 | 1.1 | 0.1 | 0.0 | 0.1 | 0.2 | 1.6 | 1.6 | 2 | 9 | 0.2 | 1.4 | 50.0 | 50.0 | 63.6 | -0.73 | 55.9 | 52.3 |
C. Willis
|
G | 16 | 12.1 | 1.9 | 1.3 | 0.6 | 0.2 | 0.1 | 0.3 | 2.3 | 1.4 | -5 | 14 | -0.4 | -1.3 | 32.4 | 25.0 | 14.3 | -2.07 | 38.7 | 40.5 |
M. Fantina
|
G | 10 | 4.7 | 1.6 | 0.9 | 0.1 | 0.2 | 0.1 | 0.4 | 1.5 | 1.0 | -16 | 8 | -2.0 | -17.3 | 40.0 | 40.0 | 0 | -2.76 | 53.3 | 53.3 |
N. Tingling
|
- | 8 | 2.2 | 0.8 | 0.4 | 0.9 | 0.0 | 0.0 | 0.5 | 0.2 | 1.2 | -9 | 6 | -1.5 | -26.6 | 50.0 | 0.0 | 100.0 | -1.63 | 79.8 | 50.0 |
C. Ndour
|
F | 5 | 2.0 | 0.0 | 0.4 | 0.2 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | - | - | - | - | 0.0 | 0 | 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