The structured, canonical database for football. We're building the most accurate and comprehensive sports data platform.
DataSports was created with a simple goal: to provide the most accurate, well-structured, and comprehensive football database available. We believe that sports data should be accessible, reliable, and useful for everyone—from casual fans to professional analysts.
Unlike traditional sports websites that focus on news and opinions, DataSports is built as a true database. Every piece of information is carefully structured, linked, and time-stamped, allowing you to explore not just current data but the entire history of the sport.
Our time-aware data model means you can see which players were on a team during any season, track career progressions, and understand how competitions have evolved over the years.
Canonical, normalized database schema designed for accuracy and consistency across all entities.
Comprehensive coverage of major football leagues across Europe, Americas, and beyond.
Historical data modeling with valid_from/valid_to dates for tracking player transfers, team changes, and more.
Season stats, top scorers, assists leaders, standings, and form analysis for every competition we cover.
Match reports, round recaps, and player spotlights written from verified database records — every claim traceable to a specific data point.
Built for fans, researchers, journalists, and developers who need reliable sports data.
DataSports tracks the world's most important football competitions, with full squad rosters, season statistics, match results, and standings for each. Our database currently covers:
We also archive data from the FIFA World Cup and UEFA European Championship. New competitions are added regularly as our data partnerships expand.
Every article on DataSports is written from verified database records. A match report cites the actual scoreline, the goal scorers in order with their minutes, the lineup that started, the position both clubs held in the table going in. A round recap aggregates every fixture played that weekend — final scores, standout performers, points-table movers. A player spotlight pulls from career history, season-by-season stats, transfer records, and recent form. Nothing is speculation; every claim traces to a row in our database.
We use language models as a writing tool — the same way a journalist uses a word processor — to turn structured data into readable prose at the scale our coverage requires. The data itself, the facts, the statistics, the historical context all come from our verified pipeline. We don't invent results, we don't guess at lineups, we don't fabricate transfer fees. If we can't source it, we don't publish it.
Read more about how we source and verify our data on the Methodology page, or get in touch via Contact if you spot an error.
Fans who want to follow a player across clubs and seasons without piecing together fragments from a dozen different sites. Our time-aware data model means you can see who was on Liverpool's bench in May 2025, what Lamine Yamal's stat line looked like in his second season, or how Inter's xG compares across the last three years — all on one page, all consistent.
Researchers and analysts who need clean, structured football data without scraping or paying for an enterprise API. Our pages are designed to be machine-readable (Schema.org SportsEvent and SportsTeam markup throughout), with a public RSS feed for every major league and an extensive sitemap covering every indexable entity.
Journalists and bloggers looking for a fast fact-check on a recent match, a quick lookup of a player's transfer history, or a snapshot of where a team currently sits in the table. Every entity page is a self-contained reference.
Bettors and fantasy managers who need reliable form data, head-to-head records, and current-season stats without the editorial bias of a betting site.
Dive into our comprehensive database of players, teams, and competitions.