South Alabama Jaguars
2026 Team Stats (34 games)
67.1
PPG
68.1
Opp
-1.0
Margin
40.5%
FG%
31.3%
3P%
67.8%
FT%
40.1
RPG
13.2
APG
19.8
TO
87.0
Pace
66.0
AdjO
66.6
AdjD
#174
Rank
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 → | 1059 (#140) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 956 (#206) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 984 (#431) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.4 (#170) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.5 (#142) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.500 (#171) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.448 (#185) | NetEff -1.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.496 (#170) | AdjNet -0.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.496 (#170) | AdjNet -0.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.487 (#174) | AdjO 66.0 | AdjD 66.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.583 (#142) | AdjO 66.1 | AdjD 62.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.736 (#181) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.710 (#172) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 986 (#215) | RD 105 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Sutton
|
G | 33 | 27.4 | 11.7 | 1.8 | 1.6 | 1.3 | 0.1 | 2.5 | 11.3 | 2.8 | -48 | -2.2 | -3.3 | 35.6 | 30.1 | 67.1 | 0.28 | 47.2 | 44.4 |
Chaze Harris
|
F | 33 | 26.4 | 10.9 | 8.6 | 0.5 | 0.9 | 1.6 | 1.6 | 8.7 | 12.2 | -13 | -0.6 | -2.1 | 54.2 | 23.5 | 51.8 | 0.12 | 55.3 | 54.9 |
D. Gonzalez
|
F | 33 | 34.8 | 9.7 | 4.9 | 2.7 | 1.2 | 0.5 | 3.1 | 8.7 | 7.2 | -88 | -3.7 | -5.4 | 35.5 | 36.1 | 65.9 | 0.21 | 49.1 | 45.5 |
T. Ortiz
|
G | 32 | 25.6 | 9.3 | 3.0 | 2.4 | 1.1 | 0.1 | 3.3 | 8.2 | 4.3 | -68 | -3.2 | -6.3 | 32.4 | 28.5 | 77.3 | -0.74 | 47.2 | 39.1 |
D. Carter-Hartley
|
F | 34 | 28.8 | 8.9 | 6.2 | 2.0 | 1.5 | 0.5 | 2.4 | 7.9 | 8.9 | -25 | -1.1 | -2.0 | 40.7 | 31.6 | 68.4 | 2.61 | 49.9 | 46.5 |
C. Narcisse
|
G | 33 | 27.0 | 8.1 | 5.0 | 2.2 | 1.1 | 0.3 | 3.6 | 6.7 | 6.5 | -34 | -1.5 | -2.8 | 41.2 | 36.1 | 77.1 | 0.59 | 52.0 | 46.2 |
R. Marc
|
G | 33 | 16.0 | 4.5 | 2.0 | 1.4 | 0.5 | 0.0 | 1.5 | 4.2 | 2.7 | -58 | -2.6 | -6.9 | 42.3 | 33.3 | 70.3 | 0.46 | 48.3 | 44.5 |
J. Baines
|
F | 11 | 5.2 | 3.5 | 1.1 | 0.3 | 0.2 | 0.0 | 0.8 | 2.8 | 1.4 | -10 | -1.1 | -7.9 | 48.4 | 57.1 | 66.7 | -0.56 | 56.5 | 54.8 |
A. Spann
|
C | 34 | 10.6 | 3.3 | 2.7 | 0.3 | 0.2 | 0.2 | 0.9 | 2.6 | 3.1 | -58 | -2.8 | -12.4 | 52.3 | 0.0 | 65.5 | -1.16 | 55.1 | 52.3 |
M. Holmes
|
G | 5 | 6.6 | 2.2 | 0.0 | 0.0 | 0.4 | 0.0 | 0.4 | 1.2 | 1.0 | 30 | 4.3 | 14.4 | 83.3 | 0 | 50.0 | 3.12 | 79.9 | 83.3 |
P. Okafor Nweze
|
F | 12 | 7.4 | 1.2 | 1.2 | 0.3 | 0.2 | 0.2 | 0.5 | 0.8 | 1.9 | -14 | -1.2 | -6.8 | 55.6 | 0 | 30.8 | -1.62 | 47.6 | 55.6 |
A. Mangas
|
G | 16 | 7.6 | 1.1 | 0.8 | 0.6 | 0.2 | 0.1 | 0.1 | 1.7 | 1.1 | 19 | 1.4 | 9.1 | 25.9 | 19.0 | 0 | -0.55 | 33.3 | 33.3 |
C. Donnell
|
G | 10 | 2.1 | 0.6 | 0.2 | 0.0 | 0.1 | 0.0 | 0.2 | 0.9 | -0.2 | -1 | -0.1 | -1.0 | 11.1 | 0.0 | 100.0 | -0.55 | 27.9 | 11.1 |
T. Coffil
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Saneea Bevley
|
G | 0 | - | 0.0 | 0.0 | 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