Meet the Eagles' Statistics Team

Philadelphia Eagles Statistics Michael Frazier

Michael Frazier attended Wooster College from 1999-2003. During his time there he interned at Wachovia Securities and Smith Barney. Immediately upon graduation the Philadelphia Eagles hired him  a “Statistical Analytics Coordinator,” a post he has held for the last seven years — in complete obscurity.

That is pretty much all we know about Michael Frazier (circled above). And it comes from his public page on LinkedIn. As a member of the coaching support staff, he merits only a name listing, with no staff bio or job description, on the Front Office list. We do know that during the games, according to a 2006 Marty Mornhinweg press conference, “Mike Frazier is up there [in the coaches’ box] with some statistics.”

Frazier’s colleague Alec Halaby, the Eagles’ “Player Personnel Analyst,” isn’t even in the most recent team photograph. He’s not a scout, but got a small promotion to this position according to Adam Caplan, who called him a “statistical analyst, young guy, been with the team for awhile.” How long that has been is unclear though, since he seems to be the same Alec Halaby who was at Harvard as recently as 2008.

However, assuming this Halaby is the same guy, we can connect some of the dots. He was clearly interested in sports statistics in 2006, commenting about them at Football Outsiders (“Let us not forget that the 43rd pick is the most valuable in the draft”) and Matthew Yglesias’s blog (“His numbers in P/40 and TS%…”). Perhaps he was an intern with the Eagles that summer, when he posted a problem with his STATA program involving “games,” “years,” and “simscores.”

Jeff DominitzWe don’t know much more about Frazier and Halaby’s presumed boss, Jeff Dominitz (pictured at left). Dominitz is the Eagles’ “Director of Statistics,” and from what I can gather, is (or recently was) also an Adjunct Staff member at the Rand Corporation, a nonprofit research organization. Before coming to the Eagles, he received a Ph.D. in economics from the University of Wisconsin, worked as Associate Professor of Economics and Public Policy at Carnegie Mellon University and served as research director of the Census Research Data Center.

All of the above could be viewed as rather stalker-esque, but it’s really just in pursuit of a very simple goal: getting some insight on the statistical analysis the Eagles do. Obviously this blog, along with a handful of others, are always looking for new and better ways to analyze pretty much anything about our favorite team. These guys do the same thing from the inside (with MUCH more distinguished backgrounds and methods), toiling anonymously in the background of all the decisions made by the Eagles over the years.

So naturally I’m interested in how the Eagles apply statistics to get an edge against the rest of the NFL. Unfortunately, there are no interviews, no revealing quotes, literally nothing on these guys other than what I’ve managed to cull above. So where does that leave us? Well, first, desperately wanting someone like Les or Domo or McLane to go get us one meager interview. But second, examining the richest source of information I could find — which came from a former member of the Eagles staff: David Lewin, Director of Statistics from 2007 to 2008 (ironically, not the same Football Outsiders Dave Lewin who pioneered the “Lewin Career Forecast” for projecting college QBs to the NFL, and now works for the Cleveland Cavaliers). Over at his public LinkedIn page, Lewin writes about his experience with the Eagles:

• Led implementation and validation of large database and integrated information from multiple sources.
• Addressed a wide variety of questions related to injury risks, game strategy, and player performance posed by the Head Coach and Team President.
• Identified characteristics of teams and players that have been successful in the NFL.
• Created models to predict how well college athletes will perform at the professional level.

Whoa, jackpot! Let’s look at what we learn here:

  1. The team uses statistics for basically everything: injury risk (maybe that model isn’t working too well right now), strategy (too bad they haven’t helped Andy with clock management), player production, and probably much more.
  2. Reid and Joe Banner ask specific questions of the stats team to analyze. These guys are embracing and using any advantage they can get. There’s a reason Jeff Lurie could easily slip a YPA mention into a discussion about Lito Sheppard — the front office is very familiar with all of this.
  3. The Eagles have some sort of huge database of what I guess are players, careers trajectories, salaries, draft picks, at more that they use to their advantage.
  4. They have models, based on past precedence, that indicate who is likely to do well, even coming out of college. I imagine this is somewhat akin to models like  “SackSEER” Nate Forster at Football Outsiders did for defensive ends.

Want some more ideas about what the Eagles’ statistics team does? Check out Lewin’s new statistics company’s website:

To determine whether a player will do well for your team, Statistically Speaking Consulting can identify the right metrics to use and how to combine them for an accurate prediction of a player’s future success. This is critical when players are transitioning from high school to college or from college to the pros, since the existing data is relative to a lower level of competition. It also helps to more accurately judge the benefit of a player, so that you do not overlook those who are undervalued by traditional methods and do not overpay for those that are overvalued.

In addition to finding the right metrics for individual players, we can help find the right metrics to identify the real areas where your team needs to improve. This can be used to change strategies for coaching decisions, or for front office personnel to find players that will have an impact in the needed areas.

In combination with your current process, these statistical results can improve your decisions so that you take better advantage of your limited resources, like scholarships, draft picks, and money.

Sounds like things Lewin probably did with the Eagles: finding metrics to judge performance more accurately, analyze areas of strategic advantage, and apply these models to help the team pursue the most cost-effective free agents, draft the correct players, and call the optimal plays.

The ability to predict player performance close to the way PECOTA does for a more individual sport like baseball would be the holy grail of football statistical analysis, and I doubt the Eagles have arrived at a secret formula for that. But every little bit of predictive power (or even just accurate data accumulation) is helpful, and I imagine, despite their reclusive nature, that the Eagles’ stats guys are hard at work providing that for Andy Reid and company.