Author: Zach

I write NFLInjuryAnalytics.com, among other things.

Checking a Reported Drop in Starting QB Injuries in 2016: Definitions and Counts

I saw a remarkable stat reported in Pro Football Talk (PFT) this morning: that starting QBs missed only 35 games in 2016, vs. 76/77/59 in 2013-15, respectively. The claim is sourced to Peter King’s MMQB column this morning, but unfortunately I haven’t been able to find a source document for the actual numbers. Per King, the NFL’s Competition Committee views these data as evidence the new QB protection rules are having their intended effect.

Now that seemed like a huge drop to me. I did some quick calculations – Teddy Bridgewater (16 games) plus Tony Romo (10 games) plus Jay Cutler (11 games) alone gets us to 37 games missed by starting QBs in 2016. That’s already more than the number reported by King.

Epidemiologists spend a large chunk of our time just counting things. As it turns out, that’s not grade school math. It’s really, really hard, and a correct count relies on counting a.) the right things and b.) doing so in a consistent manner. So I wanted to go into my injury data, sourced from Pro-Football-Reference (pro-football-reference.com), and see if I could replicate the numbers reported by King (and, ostensibly, the NFL). Spoiler alert: I couldn’t really.

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The “Post-Probable” Injury Report Era: Full-Season Update

Hey, long time. Been awhile. How are the kids? Childish? That’s good.

I’ve been a bit distracted with side projects lately – buying a house, co-teaching a high-level statistics course, my dissertation…you know, little things – so sorry for not updating this blog that no one reads for a few months.

BUT! I’m back with a very exciting post: I’m updating my prior investigation into the effects of the NFL’s decision to remove “Probable” from its injury report this past season, now that we have a full season to see how teams adapted (the original analysis had only weeks 1-8). Let me tell you, it’s been miserable for NFL injury analysts and honestly…probably pretty much fine for everyone else.

Since my previous two posts lay out all the relevant background, methods, and data sources in detail, we’re gonna skip right to the results update!

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Is it Really Too Soon to Judge Roberto Aguayo?

I threatened to do this occasionally in my introductory post, but steel yourselves for a football analytics post that has nothing to do with injuries. You have ESPN’s Bill Barnwell and my friend and colleague Daniel Adler to blame for this.

On Bill’s December 5th show the two were discussing Roberto Aguayo, the kicker for the Tampa Bay Buccaneers that the team drafted in the 2nd round this year. Due to his high draft position Aguayo’s struggles – he is currently just 15/22 on field goals in the NFL – have been highly publicized. I’m heavily paraphrasing, but they basically came to the conclusion that it’s obviously far too soon to judge whether Roberto Aguayo is, in fact, a good, bad, or mediocre kicker.

Now Bill and Daniel are super smart guys, but I wondered if the statistics would bear them out…

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Projecting “Questionable” Players in the Post-Probable Era

In my last post I began looking at the effects of removing “Probable” from the game status portion of the NFL Injury Report this year. This left only three categories for players to fall into: “Questionable,” “Doubtful,” and “Out”.

“Out,” like it always did, means the player is certain to not play. Per our data, “Doubtful” continues to mean essentially the same thing.

“Questionable” is where things get interesting. According to my analysis, about 1/3 of players who would have previously been marked “Probable” in earlier years are now marked “Questionable,” while the other 2/3 simply aren’t listed (i.e. they’re considered “not injured”). This has altered what “Questionable” means in terms of how likely a player is to suit up on game day – in previous years 60-65% played in the next game, but so far in 2016 it’s 73%!

That means the “Questionable” players – already a hard-to-predict group – got even more heterogeneous. But can we look a little deeper and try and identify those more or less likely to suit up for their next game? I’m going to stratify by team, injury type, and practice status to try and find out!

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The Effects of Eliminating “Probable” from the NFL Injury Report

Less than a month before the season began, the NFL announced a few substantial changes to how it handled injuries. The biggest one – at least from a fan(tasy football) perspective – was a modification to the game status report component of the NFL injury report: eliminating the “Probable” designation for how likely players are to play in their upcoming game.1

I wasn’t sure how this change would affect NFL injury reports, so I’ve been eagerly waiting to amass enough data to examine this rule change. Now that we’ve got a half season let’s take a look at the data!

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“No Indication of Elevated Suicide Risk” in NFL Retirees; So Does Football Not Cause Suicides?

A recent study in the American Journal of Sports Medicine (AJSM) caught my eye last week. The study, from three researchers with the federal National Institute of Occupational Safety and Health (NIOSH), part of the CDC, found that retired NFL players had a 53% lower rate of suicide (95% confidence interval 18%-76%) versus a comparison group.

It’s an intriguing finding, but unfortunately the conclusions we can draw from it are limited. Specifically, the study cannot tell us whether professional football raises or lowers suicide rates. There are several reasons for this, but we’ll focus on a couple of the bigger ones below.

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Were There Fewer Concussions in the 2016 Preseason? A Study in Uncertainty and Trends

I almost named this blog “Probably Doubtful” since one of our cardinal reasoning sins as humans is overconfidence. We routinely don’t or improperly consider the uncertainty we have in anything, numbers included. Socrates wasn’t talking about modern statistics when he said “The only true wisdom is in knowing you know nothing,” but we’d all probably lead better lives if we said this to ourselves once a day.

The headline figure is that concussions dropped from 83 in the 2015 preseason to 71 in the 2016 preseason. Let’s dig in a little more deeply and see what we think once we take our uncertainty into account.

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Oldies but Goodies: A Summary of My Prior Public Work

I alluded to this with links in the About page and the Intro post, but let me lay out for you some previous analytics work I’ve done with NFL injuries as a guest writer over at Football Outsiders. I’ve done a ton of other non-public work, but this is the work I am most proud of that I can link to.

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An Introduction to the NFL Injury Analytics Blog

Hello/howdy/hi/etc.,

The below information can also be found at the “About” page, which will be updated more regularly. Anyway, there’s two things to cover here: me (a human), and this blog (a blog). Let’s treat each issue separately, shall we?

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