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Aaron Rodgers On Pace To Set Interception Record

Aaron Rodgers has thrown just one interception in 10 games this year. That’s 1 interception on a league-high 385 pass attempts. And this was it:

Damon Huard (2006) holds the current record for interception rate in a season at 0.4%; he threw 1 interception on 244 passes, so to beat him, a quarterback would need to either throw no interceptions and 224 passes (to qualify), 1 interception on more than 244 passes, 2 interceptions on more than 488 passes, or 3 interceptions on more than 672 passes. Rodgers has 1 interception so far this year on 385 pass attempts (0.26%!); he has room to throw one more interception this year and still win the crown, but he probably doesn’t have wiggle room to throw two more.

Josh McCown (2013) had 1 interception on 224 pass attempts (0.4%), putting him second all-time on the single-season list. Tom Brady (2016), Nick Foles (2013), Tom Brady (2010), Dak Prescott (2016), Steve DeBerg (1990), Sam Bradford (2016), and David Garrard (2007) are the only other players to throw fewer than 1 interception for every 100 passes in a season, min 14 pass attempts per team game. (Oh, and Drew Brees has a 0.3% interception rate this year, too: he has 1 interception on 304 passes).

Interceptions rates have plummeted, of course, so it’s hard to truly compare this season by Rodgers to some of the low interceptions of years past. Here’s the league average interception rate in every season since 1970:

Another thing that makes Rodgers’ 2018 interception rate so interesting, particularly compared to Brees, is that Rodgers has thrown a lot of incomplete passes. In fact, he’s thrown more than twice as many incomplete passes as Brees — 147 to 69. The graph below shows every player this season with an interception (no regular quarterback has zero interceptions). The X-Axis shows interceptions; the Y-Axis shows incomplete passes. Rodgers really stands out here, and while you didn’t need the help finding him, I colored his dot in Packers colors:

Rodgers is tied with Joe Flacco for the league lead in incomplete passes at 147, and yet he is also tied with Brees for the fewest interceptions among qualifying passers. That’s how extreme Rodgers has been this year. Consider that Rodgers has thrown an interception on just 0.7% of his incomplete passes; Brees ranks second with an interception on 1.4% of his passes, and nobody else has thrown an interception on fewer than 2.8% of interceptions. Huard in 2006 (1.0%) currently has the record for interception rate on incomplete passes, and that’s another mark Rodgers has in his sights.

It’s been an up-and-down year for Rodgers. For example:

  • His winning percentage is below .500, the worst of his career since his first year as a starter in 2008.
  • His touchdown rate is below 5.0% for the first time in his career.
  • His completion percentage is 62%, the second lowest of his career.

On the other hand, his sack rate is slightly better than his (not very good) career average, his yards/attempt is slightly better than (his remarkably good) career average, he’s averaging more passing yards/game than any season other than 2011, and he’s posting by far the best interception rate of his career, which has been littered with remarkable interception rates.

Rodgers entered the season with a remarkable TD/INT ratio, and it’s only gotten better.  He’s now at 4.20/1, easily the best in history (only Brady and Russell Wilson — both are at 3.02 to 1 — have more than 3 touchdown passes for every interception).  And while it’s been a rough year for Rodgers, he’s in position to set a new record in 2018.

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Flaccoing?

Flaccoing?

In September, I started a post by asking you to make this assumption:

Assume that it is within a quarterback’s control as to whether or not he throws a completed pass on any given pass attempt. However, if he throws an incomplete pass, then he has no control over whether or not that pass is intercepted.

If that assumption is true, that would mean all incomplete pass attempts could be labeled as “passes in play” for the defense to intercept. Therefore, a quarterback’s average number of “Picks On Passes In Play” (or POPIP) — that is, the number of interceptions per incomplete pass he throws — is out of his control.

After doing the legwork to test that assumption, I reached two conclusions. One, interception rate is just really random, and predicting it is a fool’s errand. Two, using a normalized INT rate — essentially replacing a quarterback’s number of interceptions per incomplete pass with the league average number of interceptions per incomplete pass — was a slightly better predictor of future INT rate than actual INT rate. It’s not a slam dunk, but there is some merit to using POPIP, because completion percentage, on average, is a better predictor of future INT rate than current INT rate.

So, why am I bringing this up today, at the start of Super Bowl week? Take a look at where Sunday’s starting quarterbacks ranked this year in POPIP (playoff statistics included, minimum 250 pass attempts):
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More work on POPIP and predicting INT rates

A couple of weeks ago, I wrote about interceptions per incompletion, or POPIP. In that article I showed how a player’s completion percentage is a better predictor of his future interception rate than his actual interception rate. And in this article by Brian Burke, one comment stuck with me:

Griffin has thrown deep, defined as attempts of greater than 15 yards through the air, on only 13% of his attempts, 30th among league quarterbacks. This is also likely the largest factor in his very low interception rate.

That makes sense — quarterbacks throwing short, safe passes should throw fewer interceptions. But this statement is a more important one than you might originally think, thanks to some great research by Mike Clay.

Clay came up with a metric he calls ‘aDOT’ — average depth of target — which measures exactly what you think it does. For each targeted or aimed pass, Pro Football Focus tracks how far from the line of scrimmage the intended target is. What’s makes this stat particularly appealing to me is that it’s very predictable as far as football statistics go. That’s not all that surprising because aDOT is based on a large sample of plays and basically frames how an offense operates.

Clay posted the 10 passers with the largest and smallest aDOT in 2011, which I’ve reproduced below. Note that there are some passes — spikes, throwaways, passes tipped at the line (these are grouped together as ‘other’) — with no target, and therefore are excluded when calculating aDOT. In the far right column, I’ve shown how the player’s aDOT compares to the league average rate of 8.8.

PasserYrAttAimOtheraDOTlgAVG
Tim Tebow20113182863213.3151%
Vince Young2011114111311.6131%
Jason Campbell20111651511410.5119%
Matt Moore20113473281910.4118%
Carson Palmer20113283121610.3117%
Eli Manning20117526985410.1114%
Cam Newton20115174942310113%
Joe Flacco2011605568379.8111%
Ben Roethlisberger2011553529249.8110%
Chad Henne2011112102109.7110%
T.J. Yates2011189171189.6109%
Matt Hasselbeck2011518490288.394%
Drew Brees2011763730338.293%
Blaine Gabbert2011413381328.192%
Alex Smith2011513463508.191%
Tony Romo2011522497258.191%
Ryan Fitzpatrick201156954425890%
Donovan McNabb2011156145117.989%
Colt McCoy2011463434297.888%
Tyler Palko201113512787.484%
Josh Freeman2011551519327.483%

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