Thanks for the amazing response to Summary of blog posts #1 & Summary of blog posts #2
I also want to thank people who have reached out to me via twitter with links to their blogs & posts.
Goalscorer ‘footedness’ by @DavidAHopkins measures the footedness or the foot favoured by Premier League goalscorers.
How do the more successful clubs keep the ball in EPL by @JDewitt talks about how the top teams in EPL keep possession. Also by John is Successful Passing and Winning
A sneak peek of a very interesting carto by @Kennethfield Charlie Adam’s “passing wheel”
Football Philosophy – Long passes by @Poolq1984 explores the importance of long ball in football.
@We_R_PL has a nice post on how to use the MCFC dataset more efficiently. He also has spreadsheet which has the own goals calculated per team.
@footballfactman has a post on Darron Gibson using a mix of data from MCFC dataset, whoscored and statszone
The always excellent MarkTaylor0 has detailed post Analysing the quality of shots in Bolton – Manchester City game using the advanced dataset.
@ChrisJLilley has 3 posts on his blog using MCFC data
– Premier league game changers Part I & Part II
@DanJHarrington has cranked up a lot of things using the advanced dataset
1. an interactive tableau viz to see touches of each player in Bolton -City on the pitch.
2. Passing visualization using D3.js
3. Dan also has some interesting visualization work in progress. There is a cool video in the link showing ball movement.
Network passing diagrams by @DevinPleuler
Bolton – http://t.co/mcRQ0oHU
Man City – http://t.co/6mtGgJQS
Extracting data from XML
There have been some questions regarding this and some folks have come up with solutions
1. If you have MS Excel 2007 or a later version you can open the file in XML. The only issue with is that XML’s are nested and Excel converts this into a very flat format. So you will see multiple rows for the same events. For example: A successful pass has multiple rows indicating the direction, the x,y coordinates of where it is passed to. Read the data spec thoroughly to understand how the data is formatted in the XML. It will help understand the data much better.
2. Code for R users to extract the F-24 XML by @MarchiMax
3. Code snippets from @JBrisson to extract events from the F-24 XML
4. If you are into programming, most languages have XML parsers. A simple search will get you code snippets to start with.
If I missed any links, please let me know via Twitter or comment on the blog post. Always use #MCFCAnalytics tag in twitter so I can pick them up easily!
Analyse Football 
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