In addition to the two sub-categories for the soccer Pythagorean, I decided to add a category for posts that link to my soccer analytics papers, whether preprints or published articles. It's called "Soccermetrics Publications" and you can find it in the category list on the right-hand side of the page.
I've written a lot of posts on the Soccer Pythagorean, but more of them have been tables from league competitions. It gets to be a pain when I'm looking up my preprints or other articles that explained my methodology. Over the weekend I'll replace the large Soccer Pythagorean category with two distinct categories — one […]
I've been reading a lot of material lately on entrepreneurship, from foundation to funding to marketing. One of the best resources on entrepreneurship that I've used is Stanford University's Entrepreneurship Corner, which is part of the Stanford Technology Ventures Program. It is a collection of videos and podcasts by technology leaders on a wide range […]
Last night I said that I would have a major announcement to make on this site. It is an announcement that I have been preparing to make for several months, but I have told very few people until now. I am now ready to go public with the news. (more…)
Below is the final Pythagorean table for the 2010-11 Dutch Eredivisie which concluded yesterday. The league Pythagorean exponent is 1.70. How did PSV manage to not make the title a three-team fight? And how did De Graafschaap manage to avoid the relegation playoff? League Table Pythagorean Team GP W D L GF GA GD […]
Below is the final Pythagorean league table for the 2010-11 Greek Superleague whose regular season concluded last month. As always, I use a Pythagorean league exponent of 1.70. All of the teams in the league had league records in line with their statistical expectations, but PAOK and Aris slightly overperformed.I focus on publishing periodic Pythagorean […]
Below is the final Pythagorean table for the 2010-11 Primeira Liga of Portugal, which concluded yesterday. Standard statements about the Pythagorean table apply. I had wondered if Porto's unbeaten season would "break" the Pythagorean expectation. Looks like it did. But when I compare Porto's record to that of other champion teams, it appears that their […]
A lot of my research and development work revolves around mathematics, and to that end I have a large collection of math books in my personal library. They're focused mostly on applied mathematics, but I have a few on pure mathematics as well (analysis, algebra, topology). However, my library is lacking in one important area […]
Below is the final Pythagorean table for this season's German Bundesliga which concluded today. The league Pythagorean exponent is 1.70. Dortmund were deserved champions, but an underperforming Bayern Munich made the championship more of a blowout than it should have been. Hannover 96, for so long the most overachieving side in Germany (and Europe for […]
A couple of months ago I mentioned that UPenn Wharton had put forward a request for proposals for a ticketing analytics research opportunity with Stubhub. Relationship marketing isn't my main area of work, but the analytics tools for performance analysis and ticketing analysis are similar, so I decided to submit a proposal. I am very pleased […]
