I asked Chat to run simulations, assuming no Jam Miller. What it produced:
Given those assumptions, here is a stylized summary of what the distribution of outcomes looked like in such a simulation (these are not exact, but representative):
Outcome Type | Approx Probability | Typical Score Range (Alabama-Tennessee) |
Alabama wins comfortably (by 8-20 pts) | ~45% | 31-24, 34-24, 35-27, 38-26 |
Alabama wins moderately (by 1-7 pts) | ~25% | 28-24, 30-27, 27-23, 29-26 |
Upset by Tennessee (Tennessee wins) | ~25% | 27-26, 30-28, 31-29, 24-21 |
Blowouts (rare) | ~5% | 40-20, 42-17, or a surprise 38-14 in favor of Tennessee |
From those, the most probable band is an Alabama win by about 7–10 points, with final scores clustering around Alabama 31, Tennessee 24 or Alabama 30, Tennessee 23.
If I pick a median simulated outcome, it might be Alabama 30, Tennessee 23. The interquartile range (middle 50% of outcomes) might span from Alabama 26–Tennessee 20 up to Alabama 34–Tennessee 28.
The “tail risk” is nontrivial: in maybe 15–20% of simulations, Tennessee wins, especially if turnovers or big plays happen against Alabama.