Bill Connelly updates his look at how coaches did in actual wins versus expected wins…
Last offseason, I tinkered with a measure called second-order wins. It is basically my version of the Pythagorean Wins concept, where you look at a certain component (usually points or runs scored and allowed) and determine what a team’s record probably should be as opposed to what it actually is. If you’re losing a ton of close games but winning a bunch of blowouts, that’s probably a sign that, on average, you would be faring better than you are.
My second-order wins concept looks at the single-game win expectancy figures you see in the 2015 Schedule & Results chart below. The idea behind win expectancy is simple: It takes the key stats from a given game (success rates, explosiveness, field position factors, and other factors that end up going into the S&P+ ratings), mashes them together, and says, “With these stats, you probably could have expected to win this game X percent of the time.” Add those figures up over the course of a season, and you get a glimpse of what a given team probably could have expected its record to be.
… and finds that Mark Richt finished right about in the middle, along with the likes of Steve Spurrier. Surprised, or not?