Auburn Tigers
2024 Team Stats (5 games)
58.8
PPG
71.2
Opp
-12.4
Margin
36.5%
FG%
32.2%
3P%
70.8%
FT%
33.0
RPG
10.2
APG
18.2
TO
85.9
Pace
Model Outputs
2023-2024
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 → | 1133 (#76) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1242 (#54) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.8 (#58) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.377 (#222) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.615 (#47) | AdjNet +4.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.604 (#48) | AdjNet +3.6 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-01-14 | vs | LSU Tigers | W | 67 - 62 |
| 2024-02-01 | vs | South Carolina Gamecocks | L | 54 - 76 |
| 2024-02-22 | @ | LSU Tigers | L | 66 - 71 |
| 2024-03-08 | @ | LSU Tigers | L | 48 - 78 |
| 2024-03-21 | vs | Arizona Wildcats | L | 59 - 69 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
H. Scott-Grayson
|
G | 5 | 29.8 | 19.4 | 3.8 | 1.0 | 2.2 | 0.6 | 3.8 | 17.8 | 5.4 | 34 | 4.2 | 4.9 | 42.7 | 38.9 | 66.7 | 0.56 | 49.4 | 46.6 |
J. Mingo-Young
|
G | 5 | 26.4 | 8.2 | 3.6 | 2.8 | 0.6 | 0.2 | 2.8 | 8.2 | 4.4 | -18 | -2.2 | -3.0 | 31.7 | 37.5 | 92.3 | -0.34 | 43.9 | 35.4 |
S. Shaw
|
G | 5 | 19.6 | 7.0 | 2.8 | 0.8 | 1.0 | 0.2 | 1.4 | 7.6 | 2.8 | -15 | -1.7 | -2.3 | 36.8 | 40.0 | 75.0 | -0.06 | 44.0 | 42.1 |
M. Eddings
|
G | 5 | 8.0 | 4.8 | 0.2 | 0.2 | 0.4 | 0.0 | 0.4 | 4.8 | 0.4 | 3 | 0.4 | 0.8 | 37.5 | 41.7 | 50.0 | 0.07 | 48.2 | 47.9 |
T. Collins
|
F | 5 | 30.4 | 4.4 | 5.0 | 0.8 | 2.0 | 0.4 | 1.6 | 5.6 | 5.4 | 19 | 2.1 | 2.3 | 32.1 | 0 | 66.7 | 0.27 | 35.9 | 32.1 |
Y. Milton
|
F | 3 | 19.0 | 4.0 | 2.7 | 0.7 | 0.0 | 1.0 | 1.3 | 2.3 | 4.7 | 8 | 1.0 | 1.5 | 85.7 | 0 | 0 | 0.2 | 85.7 | 85.7 |
C. Sumbane
|
F | 5 | 17.8 | 4.0 | 2.8 | 0.8 | 1.2 | 0.6 | 1.0 | 3.4 | 5.0 | 13 | 1.6 | 5.1 | 35.3 | 0.0 | 88.9 | 0.26 | 47.7 | 35.3 |
K. Duhon
|
G | 5 | 16.0 | 3.4 | 1.8 | 0.6 | 1.0 | 0.2 | 1.2 | 2.8 | 3.0 | 7 | 1.2 | 2.2 | 50.0 | 0.0 | 42.9 | 0.2 | 49.8 | 50.0 |
M. Bostic
|
G | 5 | 16.4 | 3.0 | 0.8 | 2.8 | 0.8 | 0.2 | 2.2 | 6.6 | -1.2 | 5 | 0.6 | 1.1 | 15.2 | 0.0 | 62.5 | 0.17 | 20.5 | 15.2 |
S. Scott
|
C | 5 | 16.4 | 1.2 | 2.0 | 0.0 | 0.2 | 1.8 | 0.8 | 1.8 | 2.6 | 134 | 13.4 | 24.2 | 33.3 | 0 | 0 | 1.19 | 33.3 | 33.3 |
O. Akinbolawa
|
C | 3 | 6.7 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.3 | 1.0 | - | - | - | 100.0 | 0 | 50.0 | - | 79.8 | 100.0 |
T. Thurman
|
C | 3 | 5.7 | 0.7 | 1.0 | 0.0 | 0.0 | 1.0 | 0.7 | 1.7 | 0.3 | - | - | - | 20.0 | 0 | 0 | - | 20.0 | 20.0 |
C. McFadden
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
A. Young
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | 0.17 | 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