Given the success of the wacky formula I came up with to predict the outcomes of college basketball games, I’ve decided to try my hand at creating a similar formula to predict the outcomes of NFL games. Readers, new and old, maybe have a couple questions about this.

The new group might ask, “Hey, stupid, why don’t you try to create a formula to get a better grip on picking baseball winners. Or are you satisfied with that 192-190 record?” To which I respond, there are quite enough formulas out there that try their hand at predicting baseball. The world doesn’t need yet another one, and I wouldn’t even know where to begin since the game is far more complex, in my estimation, than football or hoops.

The old group, meanwhile, might derisively remark, “Too bad you made that bet and lost to a computer, huh, dipshit? That’s what you get for mouthing off to Arrow Smith! Now your precious little formula can only be applied to professional football!” And to that group I say, touche.

Of course, there’s the whole matter of whether this heavily statistically-reliant formula should, in fact, be considered “my” picks. Essentially, I’m letting the numbers do the talking. But that’s a debate to be contested on another day.

Once I figure out exactly what stats and what-have-you that I’m going to plug into the formula, I’ll get started. It’s obviously a work in progress, but then again, I should have plenty of time to tinker with it before the season starts in September. (One thing’s for sure: sacks will be looked at. [Wow, that came out wrong. {That may have, too.}])

I’ll keep you posted.

(Oh, by the way, that ground ball pitchers vs. speedy hitters study was a bust. I’ll post the Excel link at some point, but I can officially say that there is little if any correlation present besides an increased window of opportunity to steal bases.)

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