- 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.
- 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.
- 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:
- 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:
- I extracted aggregated data and analyzed a midfielder using a set of on-ball metrics:
- Shots taken by players, supported with number of shots, goals, xG (expected goals) and xG per shot
- Shots taken during a match
