Alabama
2024 Team Stats (37 games)
90.1
PPG
81.2
Opp
+8.9
Margin
47.6%
FG%
37.3%
3P%
77.2%
FT%
39.6
RPG
15.9
APG
11.8
TO
86.3
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 → | 1487 (#13) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1498 (#6) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +44.4 (#11) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.574 (#41) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.768 (#35) | NetEff +11.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.817 (#12) | AdjNet +13.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.819 (#12) | AdjNet +13.1 |
2024 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mark Sears
|
- | 37 | 33.6 | 21.5 | 4.2 | 4.0 | 1.6 | 0.1 | 2.4 | 13.4 | 15.6 | 24 | 1.7 | 2.4 | 50.8 | 43.6 | 85.7 | 0.61 | 66.7 | 60.4 |
A. Estrada
|
- | 37 | 31.0 | 13.4 | 5.4 | 4.6 | 1.6 | 0.2 | 2.3 | 11.9 | 11.1 | 14 | 1.1 | 1.5 | 44.9 | 31.2 | 84.7 | 0.75 | 53.1 | 50.6 |
Grant Nelson
|
F | 37 | 25.6 | 11.9 | 5.9 | 1.5 | 0.6 | 1.6 | 1.4 | 8.0 | 12.2 | -18 | -1.4 | -2.7 | 48.8 | 27.3 | 81.3 | 0.02 | 60.9 | 53.9 |
R. Griffen
|
G | 36 | 26.3 | 11.2 | 3.4 | 1.9 | 0.5 | 0.2 | 1.4 | 8.1 | 7.7 | -47 | -3.9 | -7.2 | 45.4 | 39.2 | 81.0 | -0.34 | 61.7 | 58.1 |
L. Wrightsell Jr.
|
G | 31 | 23.7 | 8.9 | 3.0 | 1.4 | 1.1 | 0.1 | 0.6 | 6.6 | 7.3 | 29 | 4.1 | 8.2 | 44.6 | 44.7 | 100.0 | 0.6 | 64.2 | 61.3 |
N. Pringle
|
F | 34 | 18.2 | 6.8 | 5.1 | 0.7 | 0.3 | 0.7 | 1.0 | 4.1 | 8.6 | 2 | 0.2 | 0.4 | 62.3 | 0 | 55.6 | 0.16 | 62.5 | 62.3 |
S. Walters
|
F | 37 | 12.3 | 5.4 | 2.4 | 0.4 | 0.2 | 0.2 | 0.5 | 4.1 | 4.1 | -29 | -2.2 | -9.8 | 42.7 | 39.4 | 82.5 | -0.14 | 59.7 | 55.7 |
J. Stevenson
|
F | 37 | 16.6 | 5.3 | 2.7 | 0.4 | 0.2 | 0.4 | 0.9 | 4.3 | 3.8 | 21 | 1.6 | 4.6 | 41.8 | 31.7 | 68.9 | 0.51 | 54.8 | 51.9 |
D. Cosby Jr.
|
G | 22 | 7.8 | 3.6 | 0.9 | 0.5 | 0.3 | 0.0 | 0.4 | 3.2 | 1.6 | -30 | -3.3 | -30.7 | 36.6 | 34.4 | 71.4 | -0.34 | 53.3 | 52.1 |
M. Wague
|
- | 33 | 8.5 | 3.1 | 2.5 | 0.5 | 0.5 | 0.5 | 0.7 | 1.8 | 4.7 | -3 | -0.3 | -3.3 | 62.7 | 50.0 | 75.0 | -0.01 | 68.1 | 63.6 |
M. Dioubate
|
F | 33 | 7.7 | 2.9 | 2.4 | 0.4 | 0.3 | 0.5 | 0.4 | 2.3 | 3.8 | 0 | 0.0 | 0.0 | 47.4 | 9.1 | 47.1 | 0.12 | 49.3 | 48.0 |
K. Spears
|
G | 11 | 1.5 | 1.2 | 0.3 | 0.2 | 0.0 | 0.0 | 0.2 | 0.5 | 1.0 | -7 | -3.5 | -86.6 | 40.0 | 50.0 | 100.0 | -0.08 | 76.3 | 50.0 |
Max Scharnowski
|
F | 12 | 1.6 | 0.6 | 0.3 | 0.1 | 0.0 | 0.1 | 0.1 | 0.2 | 0.8 | -7 | -3.5 | -86.6 | 100.0 | 0 | 100.0 | -0.08 | 101.7 | 100.0 |
J. Bradley
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 74 | 6.2 | 12.9 | - | - | - | 0.81 | - | - |
K. Parker
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -25 | -5.0 | -25.3 | - | - | - | -0.45 | - | - |
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