Yeah, unfortunately, I'm in the opposite category. My "gut call" was to draft Boswell. It was great until I noticed that he was a consistent "avoid" and Jake Elliott, who was a consistent "great" or "good" play was available.
I know it probably doesn't help, but that really sucks and I'm sorry. I'm always pretty keenly aware that perfection is impossible, that being a "good analyst" in this space means that maybe 56% of people who follow your advice wind up with more wins and 44% wind up with fewer. Intellectually, I can take comfort in the belief that I'm helping more than I'm hurting on net. But the 44% who wind up worse off certainly don't take any comfort in that, and nor should they. It's my job to care about my readers' successes. It's not their job to care about each others' successes, and any such appeals should ring hollow. The only teams you should care about are your own.
Anyone who reads anything I write is placing their trust in me. Anyone who actually HEEDS what I write is placing an even bigger trust. If you don't take that seriously, I wonder what you're doing in this industry-- it's certainly not trying to help people. If that 44% doesn't eat at you, what's going to motivate you to bust your *** to drop it down to 42%? To 40%?
I'm sure it's too little, too late, but
I do genuinely believe that Boswell's performance to this point was a fluke and he won't sustain it down the stretch. Fluky points count the same as any others, so that's no help for now. But-- providence permitting and the creek don't rise-- hopefully this will be a recommendation that stings a bit less a few weeks from now.
honest question....is the bolded basically just based on models and stats saying it won't sustain or do you have other opinions on why it won't sustain that are based on something else....like you think Tomlin will get more aggressive.....game scripts will all of a sudden change for PIT....?....Boswell with start to succumb to the "elements" or things of that nature or are you just gonna kind of die on the hill of there has to be a regression to the mean based on models....
I mean, I write a weekly column titled "Regression Alert" where all I do is look at the highest and lowest performers in a metric that is historically fairly unstable and predict that both groups will regress strongly to league average and, as a result, the low performers will outperform the high performers going forward. Here's
this week's edition (which tracks every prediction and links back to every other article from this season, and to the year-end roundups from all previous years, and from there to every article I've written and prediction I've made since 2017).
A big part of this is that the names involved are irrelevant. If you're at the top of a stat that's not sustainable, I predict you'll not sustain it, even if you're Justin Jefferson or Derrick Henry. If you're at the bottom of a stat that's not sustainable, I predict that you won't sustain it, even if you're Bryce Young or Mecole Hardman. And despite not cherry-picking names, Regression Alert's predictions have about an 80% lifetime success rate. It would be higher, but I try to avoid any easy wins. I'll often stack the deck in favor of the "high outliers" group and we'll still see flips where the high outliers go from outperforming the low outliers by 30% to getting outperformed by 30%.
I get into a lot of the theory and math behind this, but the upshot is that mathematically speaking, in any statistic with a measure of randomness, the highest and lowest ends of the spectrum are almost certainly disproportionately impacted by that randomness (in a way that will not be expected to carry over going forward). The more randomness a statistic is subjected to, the more strongly it will impact the past samples and the more noticeably it will disappear from the future. And as I showed above, kicker is a position that is heavily impacted by randomness (otherwise it would be much more predictable).
Beyond that, I always try to keep a keen eye on history. Football performance is quite variable, but that variability is largely bounded-- it is extraordinarily unlikely that a player will perform outside the bounds of what we've already seen. Not impossible, but if you bet against it, you'll be right way more often than wrong. It's very plausible that Pittsburgh this year is an outlier (the fact that they've "overperformed" by so much to this point makes it more likely, at least on a season-long basis-- though that's of no use for going-forward projections). It's much less plausible that they're a
bigger outlier than the 2000 Ravens and 2002 Buccaneers. I.E. my biggest reason for believing this is unsustainable is that we've never seen anyone sustain it.
TL;DR -- Yes, I'm willing to die on the hill that there will be regression to the mean (not based on the models, but based on mathematical principles on how randomness operates). I have written a weekly column since 2017 specifically dedicated to dying on the hill of blindly predicted regression to the mean.