Optimize your research

Save time and money while improving your analytics process.

  • Integrated Data Modeling

    Leverage multiple data sources, including self-acquired data, by merging them into one convenient database.

  • Customized Analytics

    Use our analytics as a baseline for your own customized performance indicators and metrics.

  • Automated Reporting

    Save time from data acquisition to report presentation by using automatic processes and reports.

Highlights of our analysis

The Soccermetrics blog started in January 2009 and provides insight into analytics and statistics.

Most popular topics

Nuevo Proyecto: Anotar tiros de cabeza en Primera División Argentina 2016-17

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 New Data Project: Logging headed shots in Primera División Argentina 2016-17

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 […]

Introducing pairwise Pythagorean expectations

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, […]