Use our trusted SportMonks Football API to build your own sports application and be at the forefront of football data today.

Our Football API is designed for iGaming, media, developers and football enthusiasts alike, ensuring you can create a football application that meets your needs.

Over 20,000 sports fanatics make use of our data. We know what data works best for you, so we ensured that our Football API has all the necessary tools you need to create a successful football application.

• Livescores and schedules Our Football API features extremely fast livescores and up-to-date season schedules, meaning your app will be the first to notify its customers about a goal scored. This also works to further improve the look and feel of your website.

• Statistics and line-ups We offer various kinds of football statistics, ranging from (live) player statistics to team, match and season statistics. And that’s not all - we also provide pre-match lineups for all important leagues.

• Coverage and historical data Our Football API covers over 1,200 leagues, all managed by our in-house scouts and data platform. That means there’s up to 14 years of historical data available.

• Bookmakers and odds Build your football sportsbook, odds comparison or betting portal with our pre-match and in-play odds collated from all major bookmakers and markets.

• TV Stations and highlights Show your customers where the football games are broadcasted and provide video highlights of major match events.

• Standings and topscorers Enhance your football website with standings and live standings, and allow your customers to see the top scorers and what the season's standings are.

StatsBomb Open Data

StatsBomb are committed to sharing new data and research publicly to enhance understanding of the game of Football. We want to actively encourage new research and analysis at all levels. Therefore we have made certain leagues of StatsBomb Data freely available for public use for research projects and genuine interest in football analytics.

StatsBomb are hoping that by making data freely available, we will extend the wider football analytics community and attract new talent to the industry. We would like to collect some basic personal information about users of our data. By giving us your email address, it means we will let you know when we make more data, tutorials and research available. We will store the information in accordance with our Privacy Policy and the GDPR.

Whilst we are keen to share data and facilitate research, we also urge you to be responsible with the data. Please register your details on https://www.statsbomb.com/resource-centre and read our User Agreement carefully.

Terms & Conditions By using this repository, you are agreeing to the user agreement.

If you publish, share or distribute any research, analysis or insights based on this data, please state the data source as StatsBomb and use our logo, available in our Media Pack.

Getting Started The data is provided as JSON files exported from the StatsBomb Data API, in the following structure:

Competition and seasons stored in competitions.json. Matches for each competition and season, stored in matches. Each folder within is named for a competition ID, each file is named for a season ID within that competition. Events and lineups for each match, stored in events and lineups respectively. Each file is named for a match ID. StatsBomb 360 data for selected matches, stored in three-sixty. Each file is named for a match ID. Some documentation about the meaning of different events and the format of the JSON can be found in the doc directory.

Have you ever found yourself with a football dataset that almost had it all, but left you short of happiness? Time after time, promising datasets failed to deliver the statistics that truly matter – match events, player performances, team results, and season standings.

That time is over!

This in-depth football dataset, curated straight from a RapidAPI endpoint, brings you the data points we've all been waiting for. From fixtures and injuries to goals, assists, and tactical breakdowns, this dataset unlocks the full picture of the beautiful game.

What You Get 🏆 - Fixture Stats & Events: Goals, assists, fouls, and match-defining moments across leagues up to 2024. - Player Performances: From tackles to dribbles, passes, and shots – every stat that makes a difference. - Season Stats & League Standings: Discover how teams dominate, stumble, or rise to glory each season. - Team Insights: Analyze home/away performance, goal-scoring patterns, and defensive strengths. - Match Highlights: Real-time events like own goals, red cards, and critical substitutions. - Injuries & Suspensions: Missing players and their impact on team dynamics. - Iconic Stadiums: Explore venues, capacities, and surfaces that set the stage for football's greatest moments.

Why It’s Exciting 🌟

This isn’t just another football dataset – it’s the ultimate resource for fans, analysts, and strategists who want to dig deeper. Whether you're predicting outcomes, analyzing player form, or crafting the next big football insights project, you now have all the tools you need.

Get ready to unlock stories, trends, and insights like never before – because this time, the stats you actually care about are all here. Let’s kick it off! ⚽✨

In terms of fixture stats for players, the endpoint provides data from 2015 up through the 2024 season and I plan to make one more update at the end of all league/cup seasons in June of 2025.

Disclaimer: This dataset is intended for non-commercial, academic purposes and does not infringe upon any intellectual property rights of the original data providers, including RapidAPI or associated sources. For full details, please refer to the respective terms of use provided by the data sources.

If you have questions about the data or simply want to connect, reach out on LinkedIn and if you plan on using this data for any type of analysis, can you please share that with me!

PS: I am a Ronaldo fan... Suiiiii !!!

Leagues/Cups in datasets: - La Liga - Ligue 1 - Serie A - World Cup - Bundesliga - NWSL Women - Pro League - Championship League - Copa America - Premier League - CONCACAF Gold Cup - Euro Championship - UEFA Europa League - MLS - Africa Cup Of Nations - CONCACAF Champions League

Other Datasets: - Spotify - Zillow

Explore the explosive growth of the Sports Data API Interface market, projected to hit $5.5 billion by 2025 with a 21.4% CAGR. Discover key drivers, trends, and top companies shaping real-time sports data delivery for fan engagement and professional analysis.

The Sports Data API Interface market is booming, projected to reach $2.5 Billion in 2025 and grow at a 15% CAGR through 2033. This comprehensive analysis explores market drivers, trends, restraints, and key players in sports data APIs for esports, football, basketball, and more. Discover market insights and regional breakdowns for informed business decisions.

Context

The story behind this dataset is due to a group of enthusiastic football fans wanting to create a fantasy league of our own, with custom points given for different events based on position played minutes played etc. For data I identified a freemium API from rapid API which provided the data I needed https://rapidapi.com/api-sports/api/api-football-beta/. I call the API and stored the data and calculated the points using our points system using python.

I have created a GUI using Tkinter made a backend Database using SQLite3 - Python Find it here https://github.com/jainil-shah/EFF2.1

Content

The main part or rather the important of the data is present in Match and Player stats csv file. Stats like player match events (Not only G&A but Interceptions, Tackles, Blocks, Shots on target and much more...)

Acknowledgements

I would like to thank the Rapid API services and also https://rapidapi.com/api-sports/api/api-football-beta/ (https://www.api-football.com/) API football to provide such detailed data for free.

Inspiration

The next aim from this data is to make visualizations and insights from this data and discuss much more about the world of football.

Coverage of 1000+ Leagues including EPL, UCL, MLS.

Clean, structured and automatically updated football data from Transfermarkt, including

• 60,000+ games from many seasons on all major competitions
• 400+ clubs from those competitions
• 30,000+ players from those clubs
• 400,000+ player market valuations historical records
• 1,200,000+ player appearance records from all games

and more!

What does it contain?

The dataset is composed of multiple CSV files with information on competitions, games, clubs, players and appearances that is automatically updated once a week. Each file contains the attributes of the entity and the IDs that can be used to join them together.

https://github.com/dcaribou/transfermarkt-datasets/blob/master/resources/diagram.svg?raw=true" alt="">

For example, the appearances file contains one row per player appearance, i.e. one row per player per game played. For each appearance you will find attributes such as goals, assists or yellow_cards and IDs referencing other entities within the dataset, such as player_id and game_id.

Original Data

Acknowlegement

Foto von Travel Nomades auf Unsplash

The Sports Data API Interface market is booming, projected to reach $12B+ by 2033 (15% CAGR). This in-depth analysis covers market size, trends, key players (Sportradar, Genius Sports, etc.), and regional insights. Learn how esports, fantasy sports, and betting fuel this explosive growth.

Real-time coverage of NFL, NBA, MLB, NHL, NCAA.

Maryland Sports (http://www.marylandsports.us/) has identified sport venues located within the State of Maryland. These venues offer opportunities to participate in free and fee-based, organized and pick-up, indoor and outdoor sports and physical fitness related activities in the area of Flag Football.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Society/MD_SportVenues/FeatureServer/25

Ball-by-ball data for IPL, ICC World Cup, and T20.

Fantasy Premier League or popularly known as FPL in short, is the most popular fantasy game played worldwide. It is the official fantasy game of the English Premier League and runs throughout the duration of the league itself. The number of registered users keep on growing season by season and the FPL community or so we call it, has grown tremendously over the recent years. To keep it short, FPL can be called an opportuniy - an opportunity to learn tactics; to make friends and the accompanied banters, 'mini-leagues'; to add an extra spice to watching matches etc. and the list can go on

You can find all the details at - FPL Official Site

There are basically 3 datasets: - Gameweeks.csv : Contains all the 38 Gameweeks' data - Players.csv : Contains all players' data - Teams.csv : Contains all clubs' data

Basically the idea behind this datasets is to perform an extensive EDA

Visit worldfootballR for more information

Used an R script to iteratively loop through years and download each using the worldfootballR API

All credit goes to JaseZiv for the R API.

Dataset contains season, date, week, home team, away team, scores for both, venue (stadium), etc

Point-by-point data for ATP, WTA, and Grand Slams.

This dataset contains statistics of all the 38 matchdays played in the season 2022-23. There are 4 files: PL_standings: This is the final standing of all the teams after matchday 38 away_teams_stats: This contains stats of the away team that played on a particular matchday. home_teams_stats: This contains stats of the home team that played on a particular matchday. matchday_results: Contains the match result (goals scored) of both the teams that played.

This data was fetched with the help of Api-football-Beta api hosted on rapidapi.

Maryland Sports (http://www.marylandsports.us/) has identified sport venues located within the State of Maryland. These venues offer opportunities to participate in free and fee-based, organized and pick-up, indoor and outdoor sports and physical fitness related activities in the area of Football.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Society/MD_SportVenues/FeatureServer/26

This dataset contains statistics of all the 38 matchdays played in the season 2020-21. There are 3 files: away_teams: This contains stats of the away team that played on a particular matchday. home_teams: This contains stats of the home team that played on a particular matchday. matchday_results: Contains the match result (goals scored) of both the teams that played.

This data was fetched with the help of Api-football-Beta api hosted on rapidapi.

This dataset contains detailed soccer match data in 2024-2025 season, compiled from ESPN soccer data API.
This dataset contains multiple csv files. The csv files include the following data:
- 30,000+ Match fixtures information, including - Match lineups - Play-by-play information - Key events - Commentary - Team statistics - Player statistics - 400+ unique leagues worldwide - 3,000+ Teams/clubs information - 45,000+ Player information - 1,200+ Teams with team roster

Data is updated daily and covers major soccer leagues world wide  

Files are organized in 5 zip archives by category, plus one archive for base files.