Auburn Tigers
2026 Team Stats (30 games)
58.8
PPG
63.2
Opp
-4.4
Margin
38.6%
FG%
26.8%
3P%
70.1%
FT%
31.1
RPG
9.4
APG
16.2
TO
79.6
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 902 (#526) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.7 (#86) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.509 (#199) | AdjO 57.8 | AdjD 57.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.833 (#113) | 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 → | 0.777 (#136) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1044 (#178) | RD 152 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
H. Coulibaly
|
G | 29 | 26.5 | 10.2 | 3.0 | 1.7 | 1.6 | 0.1 | 2.3 | 10.2 | 4.0 | -69 | -3.1 | -5.1 | 44.1 | 50.0 | 50.8 | 2.65 | 45.6 | 44.4 |
K. Duhon
|
G | 30 | 30.9 | 10.0 | 4.6 | 0.8 | 3.2 | 0.8 | 1.9 | 8.2 | 9.2 | -57 | -2.5 | -3.4 | 40.4 | 26.8 | 77.4 | 3.72 | 51.3 | 44.3 |
K. Leye
|
F | 30 | 27.9 | 9.6 | 5.3 | 0.9 | 1.3 | 0.9 | 2.4 | 8.5 | 7.0 | -52 | -2.3 | -3.2 | 45.1 | 0.0 | 72.5 | 1.16 | 49.6 | 45.1 |
M. Petticord
|
G | 28 | 24.7 | 7.6 | 1.8 | 0.8 | 0.5 | 0.0 | 1.4 | 7.7 | 1.7 | -158 | -7.5 | -10.6 | 33.5 | 28.0 | 87.5 | -3.57 | 45.6 | 41.2 |
J. Harris
|
G | 30 | 25.1 | 7.0 | 2.9 | 1.6 | 1.1 | 0.3 | 2.1 | 6.6 | 4.2 | -4 | -0.2 | -1.0 | 32.0 | 26.7 | 77.8 | -0.0 | 45.7 | 38.8 |
A. Jackson
|
G | 30 | 19.6 | 5.8 | 2.4 | 1.4 | 0.9 | 0.0 | 1.8 | 5.5 | 3.3 | 278 | 13.2 | 18.1 | 38.8 | 34.0 | 72.5 | 3.4 | 47.6 | 43.9 |
Q. Montague
|
F | 2 | 19.0 | 5.5 | 4.5 | 0.5 | 1.5 | 2.0 | 2.0 | 3.5 | 8.5 | -21 | -10.5 | -38.7 | 57.1 | 0.0 | 75.0 | 0.27 | 62.8 | 57.1 |
S. Richardson
|
G | 29 | 13.9 | 3.3 | 1.0 | 1.3 | 0.8 | 0.0 | 1.0 | 4.2 | 1.2 | -11 | -1.2 | -10.0 | 31.7 | 24.2 | 50.0 | -0.67 | 38.6 | 38.2 |
A. Belloso
|
G | 26 | 11.6 | 2.3 | 1.5 | 0.7 | 0.6 | 0.0 | 1.3 | 2.6 | 1.3 | -29 | -1.4 | -4.6 | 35.8 | 25.9 | 55.6 | -1.92 | 42.3 | 41.0 |
S. Daniels
|
G | 29 | 12.9 | 2.2 | 1.6 | 0.4 | 0.6 | 0.2 | 0.7 | 2.6 | 1.8 | -56 | -2.7 | -7.8 | 32.0 | 20.0 | 50.0 | -0.97 | 38.8 | 36.7 |
A. Angui
|
C | 19 | 8.9 | 1.5 | 2.5 | 0.1 | 0.2 | 0.5 | 0.4 | 1.8 | 2.6 | -38 | -2.1 | -7.6 | 35.3 | 0 | 41.7 | -0.57 | 36.9 | 35.3 |
C. Koulibaly
|
F | 22 | 7.7 | 1.1 | 1.4 | 0.1 | 0.0 | 0.1 | 0.4 | 1.0 | 1.5 | -68 | -4.2 | -15.6 | 42.9 | 20.0 | 62.5 | -2.02 | 48.9 | 45.2 |
E. Garabadian
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -11 | -11.0 | -131.3 | 0 | 0 | 0 | -1.27 | 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