About
PandaScore is an enterprise-grade esports data and odds API designed for sportsbooks, fantasy sports platforms, and esports product builders. Combining an expert human trading team with an AI-powered data engine, PandaScore delivers industry-leading odds performance, availability, and event coverage across titles like League of Legends, CS2, Dota 2, and many more. The platform offers two core pillars: PandaScore Odds and PandaScore Stats. The Odds product covers 308 unique markets, 26,000+ events in 2025, and achieves 82% market uptime, enabling sportsbook operators to offer competitive live and pre-match esports betting. The Stats product provides unparalleled depth — over 1 billion data points per year, 132,000+ total matches, and 6 years of historical data — making it a go-to solution for analytics, fantasy, and trading applications. In 2023, over €400 million EUR was wagered on PandaScore-powered esports books, reflecting growing operator trust. The platform also includes features for fantasy sports and risk management via iFrame integrations. PandaScore is ideal for sportsbook operators, esports data teams, developers building fan engagement tools, and any business looking to enter or grow in the competitive esports market without building data collection infrastructure from scratch.
Key Features
- AI-Powered Esports Odds: Delivers live and pre-match betting odds across 308 unique markets with 82% market uptime, powered by a combination of AI and a dedicated esports trading team.
- In-Play Esports Statistics: Provides real-time, granular in-game data across all major esports titles with over 1 billion data points extracted per year and high accuracy standards.
- Extensive Historical Data: Access 6 years of match history and 132,000+ total matches across major esports leagues and tournaments for backtesting, analytics, and modeling.
- Fantasy & Risk Management Tools: Includes dedicated modules for fantasy sports data integration and risk management iFrame solutions, enabling operators to expand their esports product offerings.
- Broad Game & Event Coverage: Covers all major esports titles including League of Legends, CS2, and Dota 2, with 26,000+ events tracked in 2025 across global leagues and tournaments.
Use Cases
- Sportsbook operators integrating live esports betting markets with AI-generated odds across LoL, CS2, and Dota 2 tournaments
- Fantasy esports platforms using PandaScore's live and historical stats to power player performance scoring and leaderboards
- Esports analytics startups building dashboards, predictive models, or fan engagement tools using granular in-game data
- Trading and risk management teams at betting companies using PandaScore's data feeds to calibrate exposure and manage liability
- Developers building esports companion apps, match trackers, or coaching platforms that require real-time game data via API
Pros
- Comprehensive Esports Coverage: One of the most complete esports data providers, covering major titles, leagues, and tournaments with both odds and deep statistical data.
- AI + Human Trading Hybrid: The combination of AI-driven data processing and an expert esports trading team results in high-quality, reliable odds and stats that pure-tech competitors struggle to match.
- Proven at Scale: Over €400M in bets were placed on PandaScore-powered sportsbooks in 2023, demonstrating real-world reliability and operator trust.
- Developer-Friendly API: Well-documented REST API with clear pricing tiers, making it accessible for both startups and large enterprise sportsbook operators.
Cons
- B2B Focus Limits Consumer Access: PandaScore is primarily designed for businesses and developers — individual users or hobbyists may find the pricing and API setup unsuitable for personal projects.
- Pricing Not Publicly Transparent: Detailed pricing requires contacting sales, which can slow down evaluation for smaller teams or indie developers exploring the platform.
- Esports-Only Scope: Coverage is limited to esports; operators needing traditional sports data alongside esports will need to integrate additional data providers.
Frequently Asked Questions
What esports titles does PandaScore cover?
PandaScore covers all major esports titles including League of Legends (LoL), CS2 (formerly CS:GO), Dota 2, and many other popular video games across global leagues and tournaments.
Does PandaScore offer both odds and statistics?
Yes. PandaScore offers two core products: PandaScore Odds for sportsbook operators needing live and pre-match betting markets, and PandaScore Stats for data-driven applications like fantasy sports, analytics, and trading models.
How does PandaScore use AI?
PandaScore's AI engine processes vast amounts of esports data to generate and adjust odds in real time. This is complemented by a dedicated human trading team with deep esports expertise to ensure quality and reliability.
What kind of businesses use PandaScore?
PandaScore serves sportsbook operators, fantasy sports platforms, esports analytics companies, media organizations, and any developer or business building products that require esports data or betting odds.
Is there a free tier or trial available?
PandaScore offers a sign-up flow with upgradeable plans, suggesting a freemium model. Developers can explore the API documentation and likely access limited data before committing to a paid plan. Contact sales for enterprise pricing details.
