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The MLS Front-Office Efficiency ratings always generate a lot of discussion for various reasons, from its methodology to its use of salary data from the MLS Players Union surveys. Much has been written about the accuracy of the salary data and the inability to fully account for outlays on the clubs’ (and MLS’) books. Steve […]
Lanzo un nuevo proyecto para coleccionar datos del fútbol — en este caso, todos los tiros de cabeza que ejecutan en la Primera División Argentina, de temporada 2016-17. Se encuentran los archivos en el repositorio ProjectData de GitHub.En la segunda mitad de 2016 Soccermetrics entró en un acuerdo con DataFactory para crear contenido analítico acerca del […]
A couple of weeks ago I placed a new data archive in Soccermetrics’ ProjectData repository on GitHub, but I haven’t found time to mention it until now. I’m looking to identify all headed shots in Argentina’s Primera División this season, and I’ll explain why.I’ve been working with data from DataFactory for Argentina’s Primera and the Copa Sudamericana […]
Jay Heumann, “An improvement to the baseball statistic ‘Pythagorean Wins’”, Journal of Sports Analytics, 2(1): 49-59, 2016. [PDF]Abstract: This paper introduces a new version to the commonly used “Pythagorean wins” statistic, which improves on the traditional method by means of mathematical adjustment. The new statistic is called the “pairwise” Pythagorean wins, and it is demonstrated, […]
The 2016 Major League Soccer regular season came to a close two weeks ago, so it’s time for a new edition of the Front-Office Efficiency table. As was the case last year, this table is displayed as an infographic on the Soccermetrics SlideShare page and as twenty individual panels on the Soccermetrics Twitter page.The efficiency metric […]