South Alabama Jaguars
2026 Team Stats (33 games)
74.4
PPG
70.4
Opp
+4.5
Margin
46.6%
FG%
34.8%
3P%
65.8%
FT%
35.4
RPG
11.9
APG
8.6
TO
74.9
Pace
Model Outputs
2025-2026
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 → | 986 (#188) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1013 (#170) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 995 (#185) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.7 (#203) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -0.6 (#179) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.600 (#121) | - |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.452 (#200) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.510 (#163) | - |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1060 (#123) | - |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Harris
|
- | 32 | 31.8 | 19.2 | 4.9 | 5.0 | 1.6 | 0.3 | 3.2 | 13.5 | 14.3 | 106 | 4.8 | 7.2 | 53.4 | 15.4 | 59.7 | 0.57 | 56.7 | 53.8 |
Adam Olsen
|
- | 30 | 35.9 | 16.9 | 3.9 | 1.0 | 1.0 | 0.1 | 1.0 | 12.8 | 9.2 | 80 | 3.8 | 4.9 | 40.2 | 39.6 | 83.9 | 0.24 | 58.2 | 53.1 |
Peyton Law
|
- | 10 | 25.5 | 12.8 | 5.9 | 1.0 | 0.5 | 0.7 | 0.9 | 8.5 | 11.5 | 72 | 7.2 | 12.3 | 64.7 | 0.0 | 75.0 | 0.49 | 67.0 | 64.7 |
J. Cooper
|
- | 32 | 30.2 | 11.4 | 2.6 | 1.0 | 1.0 | 0.1 | 0.8 | 10.0 | 5.4 | 124 | 5.6 | 9.2 | 40.8 | 33.5 | 67.6 | -0.33 | 51.8 | 49.2 |
S. Williams
|
- | 32 | 15.8 | 6.5 | 4.7 | 0.2 | 0.3 | 0.8 | 0.2 | 4.1 | 8.1 | 73 | 3.3 | 7.5 | 66.9 | 0 | 66.0 | 0.22 | 68.1 | 66.9 |
R. Brady
|
- | 32 | 27.0 | 5.5 | 5.7 | 1.9 | 1.4 | 0.3 | 1.0 | 3.6 | 10.2 | 79 | 3.2 | 6.0 | 45.2 | 35.6 | 65.8 | 0.1 | 59.1 | 54.3 |
H. Louis-Jeune
|
- | 32 | 23.7 | 5.2 | 3.0 | 0.5 | 0.9 | 0.2 | 0.2 | 4.8 | 4.7 | - | - | - | 35.1 | 28.4 | 74.3 | - | 48.7 | 45.1 |
JJ Wheat
|
- | 32 | 13.2 | 3.5 | 1.5 | 1.2 | 0.8 | 0.0 | 0.8 | 2.8 | 3.5 | -32 | -1.5 | -6.0 | 47.7 | 41.7 | 46.0 | -0.92 | 50.9 | 50.6 |
Brian Hawthorne
|
- | 20 | 10.3 | 2.6 | 1.5 | 1.0 | 0.7 | 0.0 | 0.8 | 2.5 | 2.5 | 15 | 0.9 | 3.9 | 31.4 | 33.3 | 68.0 | -0.42 | 42.7 | 35.3 |
J. Broom
|
- | 30 | 14.9 | 2.2 | 2.7 | 0.3 | 0.6 | 0.3 | 0.2 | 1.8 | 4.1 | 43 | 1.9 | 10.8 | 45.5 | 33.3 | 80.0 | -0.24 | 57.7 | 56.4 |
M. Land
|
- | 4 | 1.8 | 0.8 | 0.5 | 0.2 | 0.0 | 0.0 | 0.2 | 0.5 | 0.8 | -4 | -4.0 | -69.6 | 50.0 | 50.0 | 0 | -0.07 | 75.0 | 75.0 |
Samuel Shoptaw
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Desmond Williams
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 9 | 0.8 | 8.3 | - | - | - | 0.05 | - | - |
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