Resources

An overview of literature on sports scheduling

This website collects references on different topics of sports scheduling and classifies them according to models, methods, and sport disciplines. This classification is maintained by Sigrid Knust.

RobinX: an XML-driven classification for round-robin sports timetabling problem instances

This website proposes an XML-driven three-field notation to classify and describe sports timetabling instances, complemented with a C++-library to
read, write, and evaluate these XML files. Furthermore, an interactive part of the website keeps track of these instances and their validated solutions. A query tool allows you to find sports timetabling instances with selected features. You are kindly invited to post your sports timetabling instances and solutions on this website.

Soccerway

Soccerway covers over 1000 football leagues & cups from 134+ countries. It is the world’s largest football database and is owned and powered by digital sports media business PERFORM.

Sportsdatabase

Sports box scores provide numerical information about a sporting event: SportsDatabase.com makes box score data researchable.

The RSSSF archive

The RSSSF, which stands for Rec.Sport.Soccer Statistics Foundation, collects all kind of statistics and data on football and its history, in particular league tables from all over the world, making this information available to those sharing our interest.

Tennis-data.co.uk

This portal provides historical computer-ready (CSV and Excel format) results and fixed odds betting data from the ATP and WTA tours to help tennis betting enthusiasts develop quantitative tennis betting systems with a view to forecasting and generating a profit at the bookmakers.

College Football Data Warehouse

College Football Data Warehouse is the original and most complete online resource for college football history and data. Check out your favorite team and find their history in the polls, bowl games, and against their biggest rival. It’s all here at the College Football Data Warehouse.