Zoltar is my NFL football prediction computer program. It uses a neural network and a type of quasi-reinforcement learning. Here are Zoltar’s predictions for week #9 of the 2026 season.
Zoltar: jaguars by 4 opp = ravens | Vegas: jaguars by 9.5
Zoltar: bengals by 3 opp = falcons | Vegas: bengals by 3.5
Zoltar: colts by 2 opp = cowboys | Vegas: cowboys by 5.5
Zoltar: rams by 3 opp = commanders | Vegas: rams by 5.5
Zoltar: browns by 0 opp = saints | Vegas: saints by 2.5
Zoltar: chiefs by 10 opp = jets | Vegas: chiefs by 9.5
Zoltar: lions by 3 opp = dolphins | Vegas: lions by 7.5
Zoltar: broncos by 4 opp = panthers | Vegas: broncos by 2.5
Zoltar: eagles by 6 opp = giants | Vegas: giants by 3.5
Zoltar: texans by 0 opp = chargers | Vegas: texans by 4.5
Zoltar: fortyniners by 11 opp = raiders | Vegas: fortyniners by 9.5
Zoltar: patriots by 6 opp = packers | Vegas: patriots by 2.5
Zoltar: seahawks by 11 opp = cardinals | Vegas: seahawks by 10.5
Zoltar: bears by 8 opp = buccaneers | Vegas: bears by 5.5
Zoltar: bills by 0 opp = vikings | Vegas: bills by 2.5
Zoltar theoretically suggests betting when the Vegas line is “significantly” different from Zoltar’s prediction. In mid-season I typically use 4.5 points difference but for the first few weeks of the season I am a bit more aggressive and use 3.5 points difference as the advice threshold criterion.
For week #9, using my typical 4.5 points mid-season threshold, Zoltar likes three Vegas underdogs:
jaguars at ravens: Bet on Vegas underdog ravens cowboys at colts: Bet on Vegas underdog colts giants at eagles: Bet on Vegas underdog eagles
A bet on the Vegas underdog Ravens against the Jaguars will pay off if the Ravens win by any score, or if the favored Jaguars win but by less than 9.5 points (i.e., exactly 9 points or less). If a favored team wins by exactly the point spread, the wager is a push. This is why point spreads often have a 0.5 added — called “the hook” — to eliminate pushes.
I use the early Vegas point spreads, usually posted on late Monday night, right after the Monday Night Football game. By the time you read this, the point spreads will likely have changed. I’ve noticed that, compared to previous years, point spreads are changing more dramatically by late Tuesdays than they used to. A swing of 7 points is not uncommon. I speculate that this is due to a huge increase in betting. When a lot of money is bet on one team in a matchup, the bookmakers must make a huge change in the point spread to encourage betting on the other team. Bookmakers only make money when the betting amounts are close to equal on both teams.
Week #9 often marks the beginning of the part of the season where injuries start to become a big factor. For example, the Ravens starting QB is out which is part of the reason they are such huge 9.5 point Vegas underdogs.
Theoretically, if you must bet $110 to win $100 (typical in Vegas) then you’ll make money if you predict at 53% accuracy or better. But realistically, you need to predict at 60% accuracy or better, to account for overhead and miscellaneous mistakes.
In week #8, against the Vegas point spread, Zoltar went 2-0 (using 4.5 points as the advice threshold). For the season, against the spread, Zoltar is 14-6 (70% accuracy).
Just for fun, I track how well Zoltar does when just trying to predict just which team will win a game. This isn’t useful except for parlay betting. In week #8, just predicting the winning team, Zoltar went 9-2 with 3 games too close to call, which is very good. Vegas also was pretty good, going 10-4, at just predicting the winning team.

Left: My system is named after the Zoltar fortune teller machine you can find in arcades.
Center: The Oracle fortune teller from about 1925 was produced by the Exhibit Supply Company (ESCO) of Chicago. ESCO was a dominant manufacturer of coin-operated machines from about 1910 through the early 1950s.
Right: Uncle Sam’s Philosophy machine from the late 1800s was produced by the Automatic Amusement Co. of London. The spinner pointed to one of 18 rhyming predictions such as, “To-morrow going down the street, an ancient lover you will meet.” The machine reads “Consultation Fee 1D” which confused me until I discovered that D, from “denarius” (Latin for coin) was the old UK abbreviation for penny.

.NET Test Automation Recipes
Software Testing
SciPy Programming Succinctly
Keras Succinctly
R Programming
Visual Studio Live
Microsoft MLADS Conference
DevIntersection Conference
Machine Learning Week
Ai4 Conference
G2E Conference
iSC West Conference
You must be logged in to post a comment.