Zoltar is my NFL football prediction computer program. It uses reinforcement learning and a neural network. Here are Zoltar’s predictions for week #3 of the 2021 season. These predictions are tentative, in the sense that it usually takes Zoltar about three weeks to hit his stride.
Zoltar: panthers by 0 dog = texans Vegas: panthers by 7.5 Zoltar: bills by 6 dog = redskins Vegas: bills by 9 Zoltar: browns by 6 dog = bears Vegas: browns by 7.5 Zoltar: ravens by 0 dog = lions Vegas: ravens by 6 Zoltar: cardinals by 3 dog = jaguars Vegas: cardinals by 7.5 Zoltar: chiefs by 6 dog = chargers Vegas: chiefs by 6.5 Zoltar: saints by 0 dog = patriots Vegas: patriots by 3 Zoltar: giants by 5 dog = falcons Vegas: giants by 3 Zoltar: titans by 5 dog = colts Vegas: titans by 5.5 Zoltar: steelers by 6 dog = bengals Vegas: steelers by 4.5 Zoltar: broncos by 6 dog = jets Vegas: broncos by 10.5 Zoltar: raiders by 4 dog = dolphins Vegas: raiders by 10 Zoltar: seahawks by 0 dog = vikings Vegas: seahawks by 1 Zoltar: rams by 2 dog = buccaneers Vegas: buccaneers by 1 Zoltar: packers by 0 dog = fortyniners Vegas: fortyniners by 1 Zoltar: cowboys by 5 dog = eagles Vegas: cowboys by 4
Zoltar theoretically suggests betting when the Vegas line is “significantly” different from Zoltar’s prediction. In mid-season I use 3.0 points difference but for the first few weeks of the season I go a bit more conservative and use 4.0 points difference as the advice threshold criterion.
At the beginning of the season, because of Zoltar’s initialization (all teams regress to an average power rating) and other algorithms, Zoltar is very strongly biased towards Vegas underdogs. I need to fix this.
1. Zoltar likes Vegas underdog Texans against the Panthers.
2. Zoltar likes Vegas underdog Lions against the Ravens.
3. Zoltar likes Vegas underdog Jaguars against the Cardinals.
4. Zoltar likes Vegas underdog Jets against the Broncos.
5. Zoltar likes Vegas underdog Dolphins against the Raiders.
Update: There were many relatively late point spread changes. I’ll deal with them later.
For example, a bet on the underdog Texans against the Panthers will pay off if the Texans win by any score, or if the favored Panthers win but by less than 7.5 points (in other words, win by 7 points or fewer).
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.
In week #2, against the Vegas point spread, Zoltar went 4-6 (using 3.0 points as the advice threshold).
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 #2, just predicting the winning team, Zoltar went 8-8 which isn’t very good but is typical of the first few weeks of the season. In week #2, just predicting the winning team, Vegas — “the wisdom of the crowd” — went 11-5.
Zoltar sometimes predicts a 0-point margin of victory. There are five such games in week #3. In those situations, to pick a winner (only so I can track raw number of correct predictions) in the first few weeks of the season, Zoltar picks the home team to win. After that, Zoltar uses his algorithms to pick a winner.
My prediction system is named after the Zoltar fortune teller machine you can find in arcades. Debugging software is kind of like being a detective. Unfortunately there are no crystal balls available to help.