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Creative Commons Attribution 4.0 International (CC BY 4.0)
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You are free to:
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• Share — copy and redistribute the material in any medium or format.
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• Adapt — remix, transform, and build upon the material for any purpose, even commercially.
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Under the following terms:
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• Attribution — You must give appropriate credit, provide a link to the license,
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and indicate if changes were made, without suggesting endorsement.
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Full license text: https://creativecommons.org/licenses/by/4.0/
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© 2025 Tarek Masryo
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This dataset is released under the CC BY 4.0 International license.
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Football Matches Dataset © 2025
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Data collected via the football-data.org API.
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Licensed under CC BY-NC 4.0 (Attribution–NonCommercial).
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Commercial use is not permitted.
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⚽ European Football Matches 2024/2025 Season
Author: Tarek Masryo · Kaggle
License: CC BY-NC 4.0 (Attribution–NonCommercial) — Free for open research & educational use
Commercial use is not permitted
📌 Dataset Summary
Clean and structured dataset with 1,941 matches from the 2024/2025 European football season across 6 top competitions:
- Premier League (England)
- La Liga (Spain)
- Serie A (Italy)
- Bundesliga (Germany)
- Ligue 1 (France)
- UEFA Champions League (Europe)
Each match includes results, dates, referees, and detailed score breakdowns (full-time & half-time).
Derived features such as goal difference, total goals, outcome, and points are pre-computed for direct analysis.
🗂 Dataset Structure
Main file: football_matches_2024_2025.csv (1 row per match)
Columns (23):
- Competition info: competition_code, competition_name, season, stage, matchday
- Match details: match_id, date_utc, status, referee, referee_id
- Teams: home_team_id, home_team, away_team_id, away_team
- Scores: fulltime_home, fulltime_away, halftime_home, halftime_away
- Derived features: goal_difference, total_goals, match_outcome, home_points, away_points
📑 Data Dictionary
| Column | Description |
|---|---|
| competition_code | Short code for competition (e.g., PL, CL) |
| competition_name | Full competition name |
| season | Season year (2024/2025) |
| stage | Competition stage (e.g., REGULAR_SEASON) |
| matchday | Matchday number |
| match_id | Unique match identifier |
| date_utc | Match date (UTC) |
| status | Match status (FINISHED, SCHEDULED, etc.) |
| referee | Referee name |
| referee_id | Referee identifier |
| home_team_id | Home team ID |
| home_team | Home team name |
| away_team_id | Away team ID |
| away_team | Away team name |
| fulltime_home | Goals scored by home team (full-time) |
| fulltime_away | Goals scored by away team (full-time) |
| halftime_home | Goals scored by home team (half-time) |
| halftime_away | Goals scored by away team (half-time) |
| goal_difference | Goal difference (home - away) |
| total_goals | Total goals scored in the match |
| match_outcome | Outcome (Home Win / Away Win / Draw) |
| home_points | Points awarded to home team (3/1/0) |
| away_points | Points awarded to away team (3/1/0) |
🚀 How to Use
from datasets import load_dataset
# Load full dataset
ds = load_dataset("TarekMasryo/Football-Matches-2024-2025-season")
print(ds)
# Convert to pandas
import pandas as pd
df = ds["train"].to_pandas()
print(df.head())
# Example: average goals per match
avg_goals = df["total_goals"].mean()
print("Avg goals per match:", round(avg_goals, 2))
💡 Use Cases
- Predict match results or total goals
- Build interactive dashboards for league/club performance
- Simulate league tables using outcomes and points
- Analyze trends: goal averages, draw frequencies, win rates
- Educational projects in sports analytics and machine learning
📜 License & Attribution
- Data collected via the football-data.org API
- Pre-processed and structured by Tarek Elmasry
- Licensed under CC BY-NC 4.0 (Attribution–NonCommercial) → Free for open research & educational use
- Commercial use is not permitted
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