Arkansas State Red Wolves
2023 Team Stats (3 games)
71.3
PPG
74.7
Opp
-3.4
Margin
39.5%
FG%
42.9%
3P%
76.7%
FT%
38.7
RPG
12.3
APG
15.7
TO
87.0
Pace
Model Outputs
2022-2023
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 → | 1284 (#29) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1224 (#68) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.4 (#90) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.684 (#124) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | vs | Kansas City Roos | W | 79 - 68 |
| 2022-12-11 | @ | Arkansas Razorbacks | L | 63 - 77 |
| 2023-03-03 | @ | Southern Miss Lady Eagles | L | 72 - 79 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Higginbottom
|
G | 3 | 36.7 | 19.7 | 1.7 | 2.3 | 2.7 | 0.0 | 2.3 | 18.0 | 6.0 | - | - | - | 38.9 | 40.0 | 100.0 | - | 50.1 | 44.4 |
L. Pendleton
|
G | 3 | 29.7 | 12.0 | 8.0 | 1.7 | 1.3 | 0.0 | 2.7 | 11.0 | 9.3 | - | - | - | 36.4 | 41.7 | 63.6 | - | 47.6 | 43.9 |
A. Griffin
|
G | 3 | 31.0 | 10.7 | 6.0 | 1.0 | 0.7 | 0.3 | 1.7 | 7.3 | 9.7 | - | - | - | 50.0 | 60.0 | 87.5 | - | 62.7 | 56.8 |
M. Wilkerson
|
G | 3 | 26.3 | 9.7 | 0.3 | 1.7 | 0.7 | 0.0 | 1.0 | 9.3 | 2.0 | - | - | - | 39.3 | 46.7 | 0 | - | 51.8 | 51.8 |
L. Augmon
|
G | 2 | 22.5 | 8.0 | 4.0 | 1.5 | 1.5 | 0.0 | 3.0 | 6.0 | 6.0 | - | - | - | 58.3 | 50.0 | 0 | - | 66.7 | 66.7 |
K. Patton
|
G | 3 | 25.7 | 6.7 | 3.7 | 3.0 | 0.7 | 0.0 | 1.3 | 6.3 | 6.3 | - | - | - | 36.8 | 42.9 | 75.0 | - | 48.2 | 44.7 |
K. Ellis
|
F | 3 | 16.3 | 4.0 | 3.3 | 0.7 | 0.3 | 0.7 | 1.0 | 3.0 | 5.0 | - | - | - | 55.6 | 0 | 100.0 | - | 60.7 | 55.6 |
M. Kapinga
|
C | 3 | 21.3 | 1.7 | 8.0 | 1.0 | 0.3 | 0.0 | 2.0 | 3.0 | 6.0 | - | - | - | 22.2 | 0 | 20.0 | - | 22.3 | 22.2 |
J. Upshaw
|
G | 3 | 6.3 | 1.7 | 1.0 | 0.0 | 0.0 | 0.0 | 1.3 | 3.0 | -1.7 | - | - | - | 11.1 | 20.0 | 100.0 | - | 25.3 | 16.7 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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