Dataset: Euro 2020 Top Players

About this Dataset

Euro 2020 Top Players

Context

As a football fan and a Data Analysis enthusiast, I always find the combination of these two very amazing.

Content

Uefa 2020 just ended. This dataset contains key stats of top performers in this tournament.

Columns:

Player: Name of the player
Country: Players country
Position: Where the player play
Match played: How many match played
Goals: How many goals scored
Right foot goals: How many goals scored by right foot
Header goals: How many goals scored by head
Assists: Number of assists
Total attempts: Total attempts on goal
On target: Total attempts on target
Off target: Total attempts off target
Woodwork: Total attempts hit the post
Shot blocks: Number of shot blocked by defender
Avg gpg: Average goals per game
Fouls suffered: Total fouls suffered
Fouls committed: Total fouls committed
Top speed: Top speed
Passing accuracy: Passing accuracy
Distance covered: Total distance covered
Clearence attempted: Total attempts of clearing the ball
Balls recovered: Total balls recovered
Tackles: Total tackles
Blocks: Total shot blocked
Yellow cards: Total yellow cards
Red cards: Total red cards
Minutes played: Total minutes played

Tables

Euro2020

@kaggle.bakar31_euro_2020_top_players.euro2020

22.08 KB
59 rows
27 columns


CREATE TABLE euro2020 (
  "player" VARCHAR,
  "country" VARCHAR,
  "position" VARCHAR,
  "match_played" BIGINT,
  "goals" BIGINT,
  "right_foot_goals" DOUBLE,
  "left_foot_goals" DOUBLE,
  "header_goals" DOUBLE,
  "assists" DOUBLE,
  "total_attempts" DOUBLE,
  "on_target" DOUBLE,
  "off_target" DOUBLE,
  "woodwork" DOUBLE,
  "shot_blocks" DOUBLE,
  "avg_gpg" DOUBLE,
  "fouls_suffered" DOUBLE,
  "fouls_committed" BIGINT,
  "top_speed" DOUBLE,
  "passing_accuracy" BIGINT,
  "distance_covered" DOUBLE,
  "clearence_attempted" DOUBLE,
  "balls_recovered" DOUBLE,
  "tackels" DOUBLE,
  "blocks" DOUBLE,
  "yellow_cards" DOUBLE,
  "red_cards" DOUBLE,
  "minutes_played" BIGINT
);