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SoccerData

SkillCorner has very cool game tracking data! We will try our best to visualize it ;)

HeadsUp: This is more of a practice project for us to dive in and learn some data viz/webapp development along the way!!!

STAR

Situation: Some players make more effort, which might get overlooked. Task: We will try to find out which players run more by looking at their position data and highlight them. Action: Data analysis; python/flask backend + html/css/js frontend Result: to be implemented

Features

  • Colors separating the players and the ball
  • Control of frames using slider

The Real STAR: We don't know a lot of coding -> Learn coding by diving in -> We learn it -> This

Planned Updates

  • Differentiation of teams as well as identification of individual players.
  • More intuitive frame control mechanisms, such as typing in certain frames or using timestamps rather than frames.
  • Video playback of chosen excerpts.
  • Saving of images, gifs, or videos.
  • Usage of the Kloppy resource provided by SkillCorner to make use of a visualizer much better suited for the data.
  • Usage of data other than location such as ball possession, goals made, and total score to give a fully-fledged overview of the game.
Screenshot 2025-10-28 at 15 36 56

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