Baselight

Europe Top Leagues | 2023-24 Matches | Football

Dataset of Europe's Top leagues for the season 2023-24

@kaggle.hamdankhan212_europe_top_leagues_2023_24_matches_football

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About this Dataset

Europe Top Leagues | 2023-24 Matches | Football

European Top 5 Leagues Match Data 2023/24 Season

Hey football fans! 👋

I've put together a comprehensive dataset covering all matches from Europe's top 5 leagues for the 2023/24 season. This includes every game from the

  • English Premier League
  • Spanish La Liga
  • German Bundesliga
  • Italian Serie A
  • French Ligue 1 (I was equally surprised seeing it was in the top 5 )

Data

The data is split into 5 separate CSV files - one for each league. For easier analysis, I've kept the format consistent across all leagues:

  • date: Match date (YYYY-MM-DD)
  • matchday: Round number in the season
  • home_team: Name of the home team
  • away_team: Name of the visiting team
  • home_score_full_time: Home team's goals at full-time
  • away_score_full_time: Away team's goals at full-time
  • home_score_half_time: Home team's goals at half-time
  • away_score_half_time: Away team's goals at half-time
  • goal_diff: Goal difference
  • winner: Name of the winning team
  • defeat: Name of the defeated team
  • ref: Name of the match's referee

How Can You Use This?

You can use this dataset to:

  • Track how teams perform before and after the break
  • Analyze home vs away form
  • Study scoring patterns across different leagues
  • Compare goal differences

Feel free to use it for your projects and don't hesitate to reach out if you spot anything that needs fixing!

Remember to credit if you use this data for your analysis or projects. SIUUUU! ⚽️

Note: All match data is sourced from official league records.

Tables

Bundesliga

@kaggle.hamdankhan212_europe_top_leagues_2023_24_matches_football.bundesliga
  • 13.53 kB
  • 306 rows
  • 12 columns
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CREATE TABLE bundesliga (
  "date" VARCHAR,
  "matchday" BIGINT,
  "home_team" VARCHAR,
  "away_team" VARCHAR,
  "home_score_full_time" BIGINT,
  "away_score_full_time" BIGINT,
  "home_score_half_time" BIGINT,
  "away_score_half_time" BIGINT,
  "goal_diff" BIGINT,
  "winner" VARCHAR,
  "defeat" VARCHAR,
  "ref" VARCHAR
);

Laliga

@kaggle.hamdankhan212_europe_top_leagues_2023_24_matches_football.laliga
  • 15.06 kB
  • 380 rows
  • 12 columns
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CREATE TABLE laliga (
  "date" VARCHAR,
  "matchday" BIGINT,
  "home_team" VARCHAR,
  "away_team" VARCHAR,
  "home_score_full_time" BIGINT,
  "away_score_full_time" BIGINT,
  "home_score_half_time" BIGINT,
  "away_score_half_time" BIGINT,
  "goal_diff" BIGINT,
  "winner" VARCHAR,
  "defeat" VARCHAR,
  "ref" VARCHAR
);

Ligue 1

@kaggle.hamdankhan212_europe_top_leagues_2023_24_matches_football.ligue_1
  • 13.68 kB
  • 306 rows
  • 12 columns
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CREATE TABLE ligue_1 (
  "date" VARCHAR,
  "matchday" BIGINT,
  "home_team" VARCHAR,
  "away_team" VARCHAR,
  "home_score_full_time" BIGINT,
  "away_score_full_time" BIGINT,
  "home_score_half_time" BIGINT,
  "away_score_half_time" BIGINT,
  "goal_diff" BIGINT,
  "winner" VARCHAR,
  "defeat" VARCHAR,
  "ref" VARCHAR
);

Premier League

@kaggle.hamdankhan212_europe_top_leagues_2023_24_matches_football.premier_league
  • 14.62 kB
  • 380 rows
  • 12 columns
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CREATE TABLE premier_league (
  "date" VARCHAR,
  "matchday" BIGINT,
  "home_team" VARCHAR,
  "away_team" VARCHAR,
  "home_score_full_time" BIGINT,
  "away_score_full_time" BIGINT,
  "home_score_half_time" BIGINT,
  "away_score_half_time" BIGINT,
  "goal_diff" BIGINT,
  "winner" VARCHAR,
  "defeat" VARCHAR,
  "ref" VARCHAR
);

Serie A

@kaggle.hamdankhan212_europe_top_leagues_2023_24_matches_football.serie_a
  • 14.74 kB
  • 380 rows
  • 12 columns
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CREATE TABLE serie_a (
  "date" VARCHAR,
  "matchday" BIGINT,
  "home_team" VARCHAR,
  "away_team" VARCHAR,
  "home_score_full_time" BIGINT,
  "away_score_full_time" BIGINT,
  "home_score_half_time" BIGINT,
  "away_score_half_time" BIGINT,
  "goal_diff" BIGINT,
  "winner" VARCHAR,
  "defeat" VARCHAR,
  "ref" VARCHAR
);

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