data analysis

Philadelphia Union

Investigating home field advantage in MLS, Part 3: Scheduling and short rest

The Philly Soccer Page at related • 1 view
Chris Sherman looks at the impact of short rest on performance. He also looks at whether MLS schedules favor home teams with longer rest and if that could impact home field advantage.

Investigating home field advantage in MLS, Part 2: Crowd Size

The Philly Soccer Page at related • 0 views
Chris Sherman continues to investigate potential causes for home field advantage in MLS using statistical analysis. This second article demonstrates home field advantage and studies the effect of the size of the home crowd on the home team's advantage.

Investigating home field advantage in MLS, Part 1: Traveling distance

The Philly Soccer Page at related • 0 views
Chris Sherman investigates potential causes for home field advantage in MLS using statistical analysis. The first article demonstrates home field advantage and studies the effect of distance traveled on said advantage.

A conversation with the Union Analysis Staff

Brotherly Game at related • 0 views

Brotherly Game spoke with BJ Callaghan and Garrison Draper about the use of data and analysis inside the Union organization. We discuss the tools used in the signing of Fernando Aristeguieta, the post game analysis process and the future of GPS trackers inside of soccer balls.

Around the world the use of data analysis to influence soccer decisions is a rapidly evolving science.

The Rest

Fantasy Football Manager

Soccer Politics Blog at related • 0 views

I stumbled upon an April 2013 articlefrom The Economist where they "moneyball the EPL" that seemed really interesting and worth sharing with the class. Companies such as Opta and Prozone record each tackle, goal, pass, assist, and any quantifiable "event" performed by each player in the EPL.

The Bent Musket's 2012 Community Interaction Awards!

The Bent Musket at related • 0 views

Recently, the team on high at SB Nation went ahead and compiled a pretty ridiculous amount of data for analysis. They went into each and every blog and community on the network - well over 300, for those of you keeping score - and put together lists of the most active community members on each blog for the entire year of 2012.