24 July 2008...8:58 pm

Fun with obscure statistics! (Well, sort of.)

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It would definitely shock my STT 421 professor (who gave me a 2.5 — and scheduled a midterm on St. Patrick’s Day!) that I’m a big fan of random and obscure sports statistics. I think OPS tells infinitely more about a baseball player’s productivity than regular old batting average does (ok, well maybe that statistic isn’t obscure anymore), I think the tempo-free basketball stats the Big Ten Wonk used for years are fascinating . . . and so on.

So, this post from the Blue-Gray Sky definitely caught my attention a year ago.

Don’t tell Maryland’s Ralph Friedgen that “Defense wins championships.” The chalkboard Xs and Os guru might simply laugh. Over the span of his lengthy coaching career, Friedgen has invented a formula, based entirely on offensive statistics, that he and his staff argue directly correlates to winning football games. Last fall, as his team was making a run toward the ACC Championship game, he sat down to discuss this winning formula with the Washington Post.

Fridge calls his formula Major Offensive Errors (MOE). To calculate it, you count up:

  • sacks
  • offensive penalties
  • fumbles
  • interceptions
  • dropped passes

Then, count the number of total plays you had in a game. (Don’t forget to add in the number of no-play penalties like false starts, illegal shifts, and delays of game to the total.) Finally, divide the errors by the total plays. What you end up with is a rating of your team’s efficiency — or inefficiency – that Friedgen relies upon heavily.

The goal is to keep the team’s M.O.E. below 12% each game; Friedgen estimates that, for him, the statistic has been an accurate predictor of wins and losses 95% of the time.

So, naturally, I set out to calculate how accurate the statistic was for State last year. The answer: not very, albeit with several caveats.

(Click to enlarge.)

(Click to enlarge.)

So, we won one game (Pitt) in which our M.O.E. was significantly over 12% — although Pitt’s was much higher — and in 5 of our 6 losses, our M.O.E. was under 12%. However, bear with me for a second here. In the Iowa (11.1%), Ohio State (9.7%), and Michigan (9.7%) games, we were in shouting distance of the 12% threshold; in actuality, I think we exceeded it. I culled the raw data from the play-by-play statistics from msuspartans.com; I don’t know if they’re trying to not hurt anyone’s feelings, but the statmakers there seem especially loath to deem an incompletion a “dropped pass.” In the OSU game, no dropped passes were recorded; and we were given only one and two in the Iowa and Michigan games, respectively. Surely, there were more than that — I’m willing to bet that if I was able to look at the tape of any of those games, I’d be able to say without a doubt that we were over the 12% threshold in all of those games.

So that still leaves the two outliers — Northwestern and Boston College. I think these can be explained away pretty easily as well — Northwestern’s M.O.E. was still extremely low, and there were no turnovers in that game (!), and conversely, all of our M.O.E. points against Boston College were extremely damaging turnovers — a lost fumble and four interceptions.* Dammit, Brian.

Game-by-game M.O.E.  MSU in green, opposition in blue.

Game-by-game M.O.E. MSU in green, opposition in blue.

*The one other clearly oddball game on that graph above was OSU, where our M.O.E. was significantly lower than theirs. However, if you recall — we didn’t lose that game because of unforced errors, we just couldn’t move the ball on their defense. Todd Boeckman, on the other hand, nearly blew the game for OSU with two awful turnovers that we returned for touchdowns.

The actual M.O.E. percentage aside — I think the raw data pretty clearly shows that, at the very least, Dantonio succeeded in instilling discipline into the team. We committed only 31 offensive penalties all season — 2.4 per game — and 14 of those came in 2 games (Iowa and Pitt). I don’t know exactly what that number was in 2006, but I guarantee it was a lot higher.

We still need to work on our turnover margin a bit: our offense gave the ball away 2 fewer times than the opposition offense did, but one of the advantages of running a more conservative office should be greater ball control and dominance in turnover margin. Devin Thomas and Jehuu Caulcrick accounted for half of our lost fumbles in 2007 . . . but they’ll be replaced by younger players, so that number isn’t necessarily going to improve as a result of their departures. It’s an area which can be improved.

So anyway, I think I’m going to personally keep track of the number of our dropped passes in each game this year, so maybe I can come up with an accurate M.O.E. number. I’m interested to see how accurate this really is — one more thing to look forward to this season. Until then, I’m the guy who spent his entire afternoon figuring out a statistic that really wasn’t all that descriptive or predictive of our season. Blogging is awesome.

4 Comments

  • Obscure statistics? On your first day back? You’ve gone from zero to my favorite football blog overnight.

    Basically, this stat measures all the things that can go badly on offense. It doesn’t account for all the things that can go right. I’d think the stat would be more predictive, therefore, for a team with a consistent offense–and a good defense since the stat obviously doesn’t account for that side of the ball.

  • Yeah — when I told my fiancee (who is a statistician) about this, she immediately said, “what about the defense?” She, and you, are right of course, and the Northwestern game last year is a perfect example. You can’t seriously complain about _anything_ our offense did in that game (with the exception of not giving Ringer the ball in overtime — Dantonio’s most boneheaded moment of the year) and yet, we still lost because our defense was utterly clueless.

    Ideally, this stat should be one that really is predictive for us. If our coaching staff is truly going to commit us to a more traditional, physical type of offense, minimizing our screw-ups is just as important as maximizing our production.

    Thanks for all the support.

  • Here’s hoping changing my screen name keeps me out of the spam filter…

    Not to get too FootballOutsiders on you, but there should be some kind of weighing there. An interception is way worse than giving up a sack. With a sack you give up yardage, with an interception you give up possession, and possessions don’t come around easily in a football game. There is no way we can claim better offensive non-disaster-ness than BC in that game. They played a mediocre overall game, but MSU the weight of Hoyer’s interceptions and a couple of Davis drops had to be greater, I think.

    I like the concept, though, since you can build up the number from mostly easily available stats. Maybe source it from less biased site.

    Since my comment yesterday got filtered out (crossing fingers), I’ll say here again I’m glad to see this site back. I like the ‘Up With the Colors’ name a milli.

  • Third time trying to break through the spam filter was the charm, I guess. Does anyone know why “DMP” seems to be spam key word?


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