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Analyze FC Barcelona's 18/19 championship performance through specific statistics

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Lionel Messi's Playground

  • The 18/19 La Liga Spanish League.

Milestones

We are huge association football fans, so to able to learn how to manipulate data and datasets about association football is really cool. We hope to gain valubale knowledge on all the types of stats in soccer and be able to see all the techinal stuff behind the scenes and how all these small but important stats (free kicks, home/away goals), impact a teams performance and their success in the season. We are interested in this because we are huge soccer fans so it and we want to know how each team gears up for success, and how every stat impacts how well they do in the season. As mentioned before, we want to know specficially how a teams performance is impacted by the specfic stats. For example, their home performance vs away performance, how many total goals they scored, etc. Building a dashboard would be really good for this dataset as we could show stuff like who scored the most goals in the season, which team had the most bets or money on them, best home/away team, and countless other things, so making a dashboard on this dataset would be awesome.

Dataset Description

Our dataset is the complete 2018/2019 La Liga Spanish football league season, and includes many things such as the teams played, who won each game, goals scored, free kicks, and much more. The information in the data was created by the teams in the league who played against each other in the season, and it was put into a csv data file by (datahub.io). Our data is a comphrehensive file filled with many aspects of soccer such as the teams that played, every game that was played and its winner, standings, goals scored, away goals vs home goals, free kicks, and much more. The data was collected in the 2018/2019 season. The purpose of the dataset is to showcase certain stats of the league, to which anyone can use (media outlets, public interest, and more). Many analysts rely on this data to make predictions, and more. This data was collected by humans who specially write down the stats for each game, and then compile everything.

Team Members

  • Sheel Patel: I am a huge soccer and basketball fan, and I am in 4th year computer science! (Starting in fall I will be).
  • Anirudh Devarakonda: I am a 4th year engineering student, and a huge Liverpool FC fan!
  • Vrushank Kekre: I am a 4th year engineering student who is a huge fan of The Weeknd!

References

datahub.io (all our statiscal information was found from there).

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