Company intelligence
PandaScore
About PandaScore
PandaScore is a leading esports data provider. PandaScore provides statistics and odds for the top esports competitions globally. We’re building the data infrastructure that will take the industry to the next level using AI and deep esports expertise. Top teams, bookmakers, fantasy apps, and media companies use PandaScore to get highly efficient esports data. Join us and take part in building the future of esports. Why are we doing all this? Video games have changed the way we experience entertainment, and now esports is catching up to and in some cases, exceeding the popularity of traditional sports with younger generations. Esports is experiencing the same evolution as traditional sports has gone through over past decades, but in just a few years. The growth is truly incredible. At PandaScore we want to help the growth of esports by providing data and odds to businesses. We want to have the most reliable and accurate data so great products can be built in esports. Our customers rely on us for fast and accurate data that powers millions in revenue each month. If you work at PandaScore, you truly have an impact on the entire ecosystem. We also strongly believe that AI will revolutionize both esports and traditional sports. That's what we're here for.
Verified activity
Signals from PandaScore
4 published signals
Presence & Recognition
PandaScore is attending the SBC Summit Lisbon from September 29 to October 1.
Reported by PandaScore
Presence & Recognition
PandaScore announced that the Valorant VALORANT Champions 2026 event is scheduled for September 24 in Shanghai with a $2,250,000 prize pool.
Reported by PandaScore
Presence & Recognition
PandaScore announced that the Dota 2 PGL Wallachia Season 9 event is scheduled for September 17 to 27 in Bucharest with a $1,000,000 prize pool.
Reported by PandaScore
Presence & Recognition
PandaScore announced that the Counter-Strike StarLadder StarSeries Fall event is scheduled for September 17 to 20 with a $250,000 prize pool on the line.
Reported by PandaScore