Auburn Tigers
2023 Team Stats (4 games)
54.5
PPG
83.5
Opp
-29.0
Margin
35.4%
FG%
31.0%
3P%
55.4%
FT%
30.0
RPG
8.0
APG
12.0
TO
79.7
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 → | 1177 (#74) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1247 (#61) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.7 (#58) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.377 (#221) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | @ | Colorado State Rams | W | 74 - 73 |
| 2023-01-05 | @ | South Carolina Gamecocks | L | 42 - 94 |
| 2023-01-15 | @ | LSU Tigers | L | 54 - 84 |
| 2023-02-09 | vs | South Carolina Gamecocks | L | 48 - 83 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Coulibaly
|
G | 2 | 31.5 | 16.0 | 3.0 | 3.0 | 3.0 | 0.0 | 2.5 | 16.0 | 6.5 | - | - | - | 37.5 | 16.7 | 87.5 | - | 45.0 | 39.1 |
S. Shaw
|
G | 4 | 25.8 | 11.0 | 3.2 | 0.5 | 0.0 | 0.0 | 1.2 | 12.8 | 0.8 | - | - | - | 35.3 | 50.0 | 0 | - | 43.1 | 43.1 |
H. Scott-Grayson
|
G | 3 | 27.7 | 9.0 | 5.0 | 2.3 | 1.3 | 0.3 | 1.3 | 12.7 | 4.0 | - | - | - | 28.9 | 20.0 | 50.0 | - | 32.5 | 30.3 |
S. Wells
|
G | 4 | 20.0 | 9.0 | 1.2 | 0.8 | 1.2 | 0.2 | 0.5 | 6.5 | 5.5 | - | - | - | 57.7 | 28.6 | 40.0 | - | 59.2 | 61.5 |
P. Johnson
|
C | 3 | 17.7 | 5.7 | 2.7 | 0.0 | 0.3 | 0.3 | 0.3 | 2.3 | 6.3 | - | - | - | 85.7 | 0 | 62.5 | - | 80.8 | 85.7 |
M. Bostic
|
G | 4 | 12.0 | 4.2 | 0.5 | 1.5 | 0.8 | 0.0 | 2.0 | 3.8 | 1.2 | - | - | - | 33.3 | 0.0 | 70.0 | - | 43.8 | 33.3 |
K. Richardson
|
F | 4 | 17.0 | 3.5 | 3.8 | 0.2 | 0.5 | 0.5 | 1.2 | 3.5 | 3.8 | - | - | - | 50.0 | 0.0 | 0.0 | - | 44.4 | 50.0 |
O. Akinbolawa
|
C | 3 | 17.0 | 2.7 | 4.3 | 0.0 | 0.3 | 0.7 | 1.7 | 3.0 | 3.3 | - | - | - | 44.4 | 0 | 0 | - | 44.4 | 44.4 |
R. Levy
|
G | 4 | 18.5 | 2.0 | 2.2 | 0.5 | 0.2 | 0.5 | 1.5 | 4.2 | -0.2 | - | - | - | 11.8 | 0.0 | 66.7 | - | 20.4 | 11.8 |
K. Duhon
|
G | 4 | 14.2 | 2.0 | 2.0 | 0.5 | 0.2 | 0.2 | 0.8 | 4.5 | -0.2 | - | - | - | 22.2 | 0 | 0.0 | - | 21.2 | 22.2 |
J. Johnson
|
G | 4 | 17.5 | 1.8 | 2.5 | 0.8 | 0.0 | 0.0 | 0.2 | 4.2 | 0.5 | - | - | - | 17.6 | 25.0 | 0 | - | 20.6 | 20.6 |
C. McFadden
|
G | 3 | 2.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Pratcher
|
F | 4 | 10.8 | 0.0 | 1.0 | 0.0 | 0.0 | 0.2 | 0.5 | 0.5 | 0.2 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
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