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An exploratory statistical analysis of the 2014 World Cup Final

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Re: An exploratory statistical analysis of the 2014 World Cup Final

#22
post #21

If anyone's interested in doing similar analysis, my company StatsBomb makes a lot of event data available on GitHub, including the last World Cup, lots of Champions League finals, NWSL and FAWSL etc: https://github.com/statsbomb/open-data/

Highly recommend this and the "Friends of Tracking" youtube channel.

Also, follow Thom on twitter, he is one of the smartest and most knowledgeable person in this space.

Re: An exploratory statistical analysis of the 2014 World Cup Final

#23
post #21

If anyone's interested in doing similar analysis, my company StatsBomb makes a lot of event data available on GitHub, including the last World Cup, lots of Champions League finals, NWSL and FAWSL etc: https://github.com/statsbomb/open-data/

StatsBomb has been great for open football data, which is hard to come by. I always enjoy the Statsbomb panels at Sloan too.

If anyone is interested in getting started with soccer/football analytics, this is a good place to start: https://github.com/devinpleuler/analytics-handbook

Re: An exploratory statistical analysis of the 2014 World Cup Final

#24
post #21

If anyone's interested in doing similar analysis, my company StatsBomb makes a lot of event data available on GitHub, including the last World Cup, lots of Champions League finals, NWSL and FAWSL etc: https://github.com/statsbomb/open-data/

Highly recommend this and the "Friends of Tracking" youtube channel. Also, follow Thom on twitter, he is one of the smartest and most knowledgeable person in this space.

Yeah, the Metrica data used in a lot of the FoT stuff is also an awesome place to start:

https://github.com/metrica-sports/sample-data

Re: An exploratory statistical analysis of the 2014 World Cup Final

#25

Ok, so something I wrote years ago hit the HN front page. This is what it feels, uh? I also have a github with more notebooks about football here: https://github.com/rjtavares/football-crunching If you gave any questions about football analytics, hit me up. (Gmail and Twitter are the same name as my HN account, if you prefer email or DM)

This is awesome. Where does the raw data come from? I'm curious how they collect such detailed data (e.g. is there someone tracking every time a specific player takes a certain action?).

There are some companies working in this space, like Opta and Statsbomb. As far as I know, they both use a mix of image processing and humans to collect the data.

It takes a lot of work, but also supports a huge and growing industry. E.g. data scouting is increasingly used by clubs to increase the pool of potential hires.

Re: An exploratory statistical analysis of the 2014 World Cup Final

#26
post #18

Germany 2014 was about the best I've seen the game played. Something I watch that seems to differentiate players and teams at every level is what happens on the first touch when receiving a pass. When you first start watching this, you'll notice that as you move up the ranks, the ball just sticks to a pro's feet, preferably in front of them a couple feet away where they are ready to play it again. Watching Germany th…

After 2004, where Germany didn’t get through the group stage in the European championships, they realized they had become complacent, and started a project to focus on footballing technique throughout all their teams.

That turned their national side from a strong team into a strong team where all players have good technical skills.

2014 is where this led to the first great success (https://www.bundesliga.com/en/news/Bundesliga/confederations...), but they only could play like that because of that decade long process.

Re: An exploratory statistical analysis of the 2014 World Cup Final

#27
post #18

Germany 2014 was about the best I've seen the game played. Something I watch that seems to differentiate players and teams at every level is what happens on the first touch when receiving a pass. When you first start watching this, you'll notice that as you move up the ranks, the ball just sticks to a pro's feet, preferably in front of them a couple feet away where they are ready to play it again. Watching Germany th…

Watch Germany vs. France and say that. The Germans stalled and fouled the whole game and scored off a set piece. In the final versus Argentina too, the game was scoreless until extra time. They also needed extra time versus Algeria. Their only real display of attacking was versus Brazil who self-destructed after having their best player (and top 3 player in the world) horrifically injured.

Re: An exploratory statistical analysis of the 2014 World Cup Final

#29

Ok, so something I wrote years ago hit the HN front page. This is what it feels, uh? I also have a github with more notebooks about football here: https://github.com/rjtavares/football-crunching If you gave any questions about football analytics, hit me up. (Gmail and Twitter are the same name as my HN account, if you prefer email or DM)

Did you do similar analysis to 2018 World Cup? Thanks for sharing your analyses of football/soccer, which is the sport that I'm passionate about.

I didn't, but the good news is that data is freely available here: https://github.com/statsbomb/open-data/

Try it!

Re: An exploratory statistical analysis of the 2014 World Cup Final

#30

Very cool. For anyone interested in this kind of tactical analysis, another (though non-computational) one I've enjoyed is http://www.zonalmarking.net/ .

In the same vein, but with a more statistical oriented take on european football you can check https://www.alfadata.xyz/blog.

And here is an interview of the founder about his experience building the service and data infrastructure behind it http://datapeek.org/interview/alfadata

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