World Cup Data Visualization

• Used different statistical approaches and other data processing and data visualization techniques to analyze player or teams performances through various sorts of events; passes, carries, shoots, defensive actions, and so on, using statsbomb free event data, specifically World Cup 2022 event data.
• Preprocessed and extracted aggregated data (metrics) of player's performance throughout the whoel comptition and profiled these players.

Plots

Carries

• Ball carrying distribution by player.
• A player's carries that ended in the opponent's half.
• Calculated the truer progressing carrier and plotted all of their carries.

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Passes

• Demonstrated a player's two-footedness by plotting his right and left foot passes.
• Passing Networks.
• Hetmaps displaying where forwards from national African teams received the ball.
• Goalkicks Analysis:

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Player performances

• Passes pitch plot: included passes, progressive passes, key passes, assists, and passing completion rate.
• Carries pitch plot: included carries, progressive carries, attempted dribbles, and succesful dribbles.
• Defensive actions pitch plot: includes attempted and won tackles, interceptions, ball reoveries, and aerials (attempted & won).
• Putting all this plots together we get to visualize a player performances through different aspects of the game:

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Player profile

• I extracted aggregated data and analyzed a midfielder using a set of on-ball metrics:

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Shots

• Shots taken by players, supported with number of shots, goals, xG (expected goals) and xG per shot
• Shots taken during a match