PandaScore

About PandaScore

PandaScore provides APIs for esports statistics, covering historical and real-time data for 13 major titles including League of Legends, Counter-Strike, DotA2, and Valorant. Data is organized into fixtures data (schedules, results, match formats, and live stream links), historical data (post-game statistics on player and team performance), and live data (in-game statistics delivered via WebSockets through a Live API, split into frames and events feeds). Fixtures data is available on a free plan, post-game statistics require the Historical plan, and the events feed plus a selection of frames statistics require the Pro Live plan.

The REST API serves fixtures and historical data, while the Live API handles real-time in-game statistics. A low latency feed is available by inquiry for users needing faster data delivery. Documentation includes authentication, rate and connection limits, tournament and match lifecycle references, filtering and sorting, pagination, error handling, and a sandbox environment for testing.

The product is aimed at developers building applications on esports data, such as fantasy platforms, media and news outlets tracking rosters and match outcomes, data analysis tools for scouting and performance tracking, prediction models based on historical performance, and live scores or statistics applications. Support is provided through a Slack community for developers.

Key features

• Fixtures data covering match schedules, formats, opponents, and live stream links
• Post-game historical statistics with 50+ player and 20+ team data points for supported titles
• Live in-game data via WebSockets through the Live API, including frames and events feeds
• REST API for fixtures and historical data
• Optional low latency feed available on request

Frequently asked questions