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Soccer Pythagorean: Theory, Software DevelopmentWe make our Soccer Pythagorean method available to the world. A simple browser command is all you need to access Pythagorean expectations.
We make our Soccer Pythagorean method available to the world. A simple browser command is all you need to access Pythagorean expectations.
Our latest Soccermetrics Interview with a leading academic figure in sports business and analytics, Professor Bill Gerrard.
It gives me great pleasure to introduce Aaron Nielsen as a member of the Soccermetrics team. But to be honest, does Aaron really need an introduction?
With the international break over, it’s a good time to look at the major European leagues to see who are over- and underperforming as we enter the final quarter of the season.
Major League Soccer has some characteristics that make it different from other professional soccer leagues around the world. So which paths into the league have yielded the greatest success? We look in the numbers of the last five seasons to find out.
In the second of the two-part series, I give my thoughts on the rest of my experience at the 2013 SSAC.
In the first of a two-part series, I revisit the Soccer Analytics forum at this year’s MIT Sloan Sports Analytics Conference.
As most of you found out this afternoon, I wasn’t able to liveblog the Soccer Analytics panel on the site because of connectivity issues in the main venue. I did take notes of the discussions in the Soccer Analytics panel and I’m reproducing them here.
For what it’s worth, I finally got online and the Soccer Analytics panel is three-quarters gone. I am adding the summary later, but I’ll liveblog the remainder, for what it’s worth.
In the last post of the multi-part preview of the 2013 MIT SSAC, I look at the panel for the Soccer Analytics forum.