By: Edward Egros

Predicting the Masters

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Advancements in analytics and golf statistics have made it easier to predict the winners of golf tournaments. Variability still remains including psychological factors, how the weather impacts play and who simply cannot explain why they are playing so well. But for those tangibles, there may be a way to quantify who is in the best position to win. This study focuses on Predicting the Masters, and recently I spoke at SportCon, part of Minneanalytics in Minneapolis, about my statistical model for how I pick a winner. This talk included a powerpoint, and to see those slides, click here.

To listen to this podcast,
click here.

Here is the model I use for predicting the Masters:


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An Addendum to Predicting College Football

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Last weekend I traveled to Harvard University and attended NESSIS, the New England Symposium on Statistics in Sports. There, I presented a poster outlining how Charles South and I put together our college football forecasts. It was an incredible Saturday filled with thought provoking conversation and unique insight in the world of sports analytics. NESSIS plans to post some of the bigger events of the conference on its website: nessis.org. To get a closer look at this poster: click here.

Also, if you would like a detailed breakdown as to the content of our poster presentation,
click here.

Advanced Modeling Techniques for Forecasting College Football Games

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This July, Charles South, an instructor at UT Southwestern, and I, gave a presentation at the R Users Group at the University of Dallas. In this talk, Charles and I discuss how to predict college football games. Using data from Clemson University and 247Sports, we used advanced modeling techniques to see what best predicts an out-of-sample set of games.

To see the powerpoint of our talk,
click here.

Analytics in Television Journalism

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I recently was in Stevens Point, Wisconsin to deliver a talk about sports analytics in television journalism. This discussion is essentially how I do my "day job" as the weekend sports anchor at Fox 4 in Dallas. I began with an observation: while other media have found ways to incorporate analytics into its sports coverage, television is noticeably lagging. This medium poses its own challenges highlighting quantitative analysis, but instead of ignoring it, there are ways to use the tools. At the Great Lakes Analytics in Sports Conference, I discussed three of these challenges and how to address them during reports.

To listen to this podcast,
click here.

To learn more about the conference and how you can get involved next year,
click here.

Finally, to get the slides of this talk including videos showcasing examples of concepts,
click here.

Analytics in Sports Marketing

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While much of my work and this website is devoted to sports analytics from performance, the marketing industry also uses similar tools to promote their teams, leagues and venues. By finding trends within data, marketers are in a better position to maximize profit through creating the best product fans are likeliest to spend their money on.

I emceed a sports marketing conference on behalf of Hispanic Communicators of DFW. The panelists are: Javier Villalobos with Sports Marketing Monterrey, Jason Hines with Red Bull, Gregg Elkin with Texas Motor Speedway, Chris Yates with Huddle Productions, Erin Finegold with the Dallas Mavericks and Carmen Branch with the March of Dimes. This group discussed how they use analytics in their work, as well as other pressing issues within their industry.

To watch a recording of this conference,
click here.

(Please note, the first three videos are of the conference)