Coming from sports?
This page uses examples from esports and traditional sports to explain PandaScore data structure.
Leagues are the top-level data structure used to represent a competition. Leagues are commonly named after the competition they represent. A league includes one or several children Series.
- FIFA World Cup
- The International
Series represent a single timely occurrence of their parent League. A series includes one or several children Tournaments.
- FIFA World Cup — 2018
- The International — 2018
Tournaments represent a stage in their parent Series. A tournament includes one or several children matches that contribute to a unique standing and possible winner.
- FIFA World Cup — 2018 — Group C
- The International — 2018 — Playoffs
Matches represent a team-versus-team or player-versus-player confrontation between two participants of a parent Tournament. A match includes one or several children Games.
Matches is the most in-depth generic data structure. Despite many common properties, the data structure for Games (and below) is specific to each video game.
- FIFA World Cup — 2018 — Group C — Denmark vs Australia (only 1 game)
- The International — 2018 — Playoffs — Final: OG vs PSG.LGD (5 games)
In-game results should be retrieved via game-level endpoints (only available for video games supporting Historical Data).
Updated about 1 year ago
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