Alabama Crimson Tide
2025 Team Stats (30 games)
77.9
PPG
64.2
Opp
+14.9
Margin
46.2%
FG%
37.8%
3P%
68.2%
FT%
38.9
RPG
15.3
APG
14.6
TO
84.5
Pace
82.9
AdjO
54.8
AdjD
#18
Rank
Model Outputs
2024-2025
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 → | 1256 (#41) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1316 (#29) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +28.9 (#17) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.918 (#25) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.918 (#25) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.991 (#19) | AdjNet +40.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.992 (#19) | AdjNet +41.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.928 (#18) | AdjO 82.9 | AdjD 54.8 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Barker
|
- | 26 | 31.6 | 17.9 | 6.3 | 3.8 | 2.0 | 0.7 | 3.3 | 13.5 | 13.8 | 35 | 1.2 | 1.4 | 51.4 | 38.2 | 69.3 | 1.09 | 58.8 | 56.2 |
Z. Green
|
G | 31 | 31.6 | 15.8 | 4.9 | 4.5 | 1.0 | 0.7 | 3.1 | 13.5 | 10.3 | -4 | -0.1 | -0.1 | 47.3 | 35.9 | 63.5 | 0.54 | 54.1 | 52.7 |
A. Nye
|
- | 31 | 33.6 | 15.3 | 2.5 | 1.3 | 1.1 | 0.3 | 1.4 | 11.7 | 7.4 | 17 | 0.5 | 0.6 | 44.8 | 44.4 | 83.0 | 0.87 | 61.1 | 58.9 |
E. Cody
|
F | 31 | 24.9 | 11.1 | 6.4 | 0.6 | 1.1 | 1.7 | 1.8 | 7.7 | 11.4 | 24 | 0.7 | 1.0 | 52.7 | 23.5 | 74.1 | 1.03 | 59.5 | 54.4 |
K. Weathers
|
G | 31 | 33.4 | 7.1 | 5.4 | 3.5 | 1.8 | 0.2 | 1.4 | 6.1 | 10.5 | -1 | -0.0 | -0.0 | 40.4 | 36.5 | 70.3 | 0.78 | 53.8 | 51.6 |
D. Collins
|
G | 29 | 20.6 | 5.7 | 2.3 | 1.6 | 0.7 | 0.0 | 1.3 | 4.8 | 4.2 | -33 | -1.1 | -1.8 | 41.7 | 36.4 | 61.9 | 0.34 | 52.7 | 50.4 |
E. Lester
|
G | 28 | 9.9 | 3.9 | 2.1 | 0.3 | 0.2 | 0.1 | 1.0 | 3.4 | 2.3 | -40 | -1.3 | -4.0 | 43.2 | 34.8 | 59.4 | -0.16 | 50.0 | 47.4 |
C. Ezumah
|
F | 29 | 9.8 | 2.6 | 3.6 | 0.1 | 0.4 | 0.5 | 0.9 | 1.8 | 4.6 | -37 | -1.2 | -4.2 | 49.0 | 0 | 51.0 | -0.13 | 51.7 | 49.0 |
J. Cunningham
|
C | 30 | 8.5 | 2.5 | 2.4 | 0.2 | 0.3 | 0.2 | 0.5 | 2.0 | 3.2 | -32 | -1.0 | -4.5 | 41.0 | 0 | 75.8 | -0.2 | 49.7 | 41.0 |
C. Spreen
|
G | 19 | 6.6 | 1.2 | 0.4 | 0.5 | 0.2 | 0.0 | 0.2 | 1.4 | 0.8 | -4 | -0.2 | -1.5 | 26.9 | 18.2 | 58.3 | -0.51 | 36.8 | 30.8 |
L. Brooks
|
G | 19 | 4.5 | 0.7 | 0.6 | 0.0 | 0.2 | 0.1 | 0.1 | 0.8 | 0.8 | -2 | -0.1 | -0.9 | 40.0 | 0.0 | 40.0 | -0.6 | 40.7 | 40.0 |
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