Esports data · France

PandaScore
Esports statistics and odds provider covering 13 titles such as LoL, CS, Dota 2 and Valorant, with REST API for fixtures and history plus WebSocket live feeds.
Facts verified against the provider's site on
Tone of public discussions, liked vs criticised points, reliability complaints; not enough public discussion to judge.
Computed from public data only; uptime and latency are not measured yet. Enterprise feeds that sell by contract score lower on transparency by design. How the score works
- Starting price
- €400/mo
- Free access
- Free tier
- Sports
- 1 (Esports)
- Live data
- Yes
- Delivery
- Streaming (WebSocket)
- Discussions
- 8 threads
- GitHub adoption
- 195 repos
Best for
Esports apps and stats sites that need schedules, results and post-match data per game, with a free fixtures tier and an optional live WebSocket feed.
Not ideal for
Building odds or betting products from the stats plans; those plans bar betting use and redistribution, so betting customers must go through sales.
Limitations to check
- − Priced per videogame (from 400 EUR/month for historical, 1,000 EUR for live)
- − Stats plans not allowed for betting products
- − Low-latency data cannot be redistributed
- − Free tier limited to fixtures-level data
Written from the provider's own pages (source).
Last checked 2026-11-03
PandaScore at a glance
- What is PandaScore best for?
- Esports apps and stats sites that need schedules, results and post-match data per game, with a free fixtures tier and an optional live WebSocket feed. Not ideal for: Building odds or betting products from the stats plans; those plans bar betting use and redistribution, so betting customers must go through sales.
- How much does PandaScore cost?
- The cheapest public paid plan of PandaScore is €400/mo. Listed plans: Historical €400/mo; Live €1,000/mo.
- Does PandaScore have a free tier?
- Yes. PandaScore lists a free plan called "Fixtures" (1,000 requests per hour).
- What does PandaScore cover?
- PandaScore is a esports data. Its sports: Esports; data: Fixtures, Historical data, Odds, Play-by-play, Results, Live scores, Team stats. Live / in-play data is offered.
- Does PandaScore have a WebSocket or streaming API?
- Yes. PandaScore pushes data continuously: WebSocket.
- Can I use PandaScore data commercially or for betting?
- According to the public terms of PandaScore — commercial use: paid plans only; betting products: not allowed; redistribution: not allowed.
- What do developers say about PandaScore?
- Esports data provider with REST API covering LoL, CS, Dota and others. Seen in dev questions for upcoming-match apps and a few GitHub wrappers and bots. Community remarks are sparse and mostly old: one user notes odds are paywalled, and it appears as one of few usable esports APIs. No real user verdict on quality or pricing.
- What are the alternatives to PandaScore?
- Close alternatives in the SportDex catalog: Sportradar, Live Tennis API, Abios, Cito API, Sportrix.
Commercial decision
Pricing & plan limits
| Plan | Price | Requests | What's included |
|---|---|---|---|
| Fixtures | Free | 1,000 / hour | Per videogame: schedules, results, static and pre-match datasource |
| Historical | €400/mo | 10,000 / hour | Per videogame, from 400 EUR: post-match data and computed statistics; 10% off annualsource |
| Live | €1,000/mo | 10,000 / hour | Per videogame, from 1000 EUR: dedicated WebSocket live feed, stream-synced; low-latency prediction product via salessource |
Stats plans restricted to non-betting use; betting customers go through sales. Country from general knowledge. Bearer auth inferred from docs Authentication section.
Before choosing a paid plan, confirm
• What counts as one request (per call, per market, per region?)
• What happens when you exceed the quota: blocked or billed
• Whether live and historical data are on your plan
• Whether your use (public app, betting, resale) is licensed
The critical question
Data coverage
- Sports
- Esports
- Data types
- FixturesHistorical dataOddsPlay-by-playResultsLive scoresTeam stats
- Key competitions
- Not disclosed
- Competitions
- Not disclosed
- Live / in-play
- Yes
- Women's competitions
- Not disclosed
- Betting markets
- Not disclosed
- Bookmaker regions
- Not disclosed
- Bookmakers
- Not disclosed
- History depth
- Historical plan covers post-match stats for major titles
- Update frequency
- Not disclosed
- Name languages
- Not disclosed
- ID mapping
- Not disclosed
Coverage often depends on the plan; confirm the exact league and season on your plan.
Before you build
Usage rights & access
- Commercial use
- Paid plans onlysource
- Betting products
- Not allowed
- Redistribution
- Not allowed
- Storing data
- Not disclosed
- Attribution
- Not disclosed
- Logos & photos
- Not disclosed
- Who can buy
- Individuals, Companiessource
- Verification (KYC)
- Not required
- Not available in
- Not disclosed
- Only available in
- Not disclosed
Free plan signup needs no credit card; stats plans are for non-betting use only.
Read the termsDeveloper-ready evaluation
Integration & documentation
- Protocols
- RESTWebSocket
- Formats
- JSON
- Authentication
- bearer
- SDKs
- Not disclosed
- OpenAPI spec
- Not disclosed
- Claimed latency
- Not disclosed
- Status page
- Not disclosed
- Sandbox / test keys
- Not disclosed
- Support
- SLA uptime
- Not disclosed
Preview brief
# Integration brief: PandaScore Goal: build a feature on PandaScore data. Use only the official documentation below as the source of truth. ## Known facts (from SportDex, verify before relying on them) - Website: https://pandascore.co - Docs: https://developers.pandascore.co/docs/introduction - Sports: Esports - Data: Fixtures, Historical data, Odds, Play-by-play, Results, Live scores, Team stats - Protocols: REST, WebSocket; formats: json - Auth: bearer - Free plan: Fixtures, 1000 requests per hour - Cheapest paid plan: €400/mo - Note: Stats plans restricted to non-betting use; betting customers go through sales. Country from general knowledge. Bearer auth inferred from docs Authentication section. ## Verify before writing code - live update frequency - exact endpoint paths, parameters and response fields (read the official docs, do not guess) ## Implementation rules - Keep the API key on the server (environment variable, backend route or edge function); never ship it to the browser. - Cache responses and respect rate limits; count how many requests each screen triggers. - Handle errors explicitly: invalid key, quota exceeded (429), missing fields, empty fixtures, timeouts. - Start with one demo request and log the raw response before building UI on assumed field names.
Data quality signals
Data source & company
- Official partners
- Not disclosed
- How data is collected
- Not disclosed
- Certifications
- Not disclosed
- Payment methods
- Not disclosed
- Minimum contract
- Not disclosed
- Country
- France
- Founded
- Not disclosed
Reddit · Hacker News · Stack Overflow · GitHub · YouTube
What developers say
Esports data provider with REST API covering LoL, CS, Dota and others. Seen in dev questions for upcoming-match apps and a few GitHub wrappers and bots. Community remarks are sparse and mostly old: one user notes odds are paywalled, and it appears as one of few usable esports APIs. No real user verdict on quality or pricing.
Praised for
- One of few dedicated esports APIs
- Used for LoL and CS match schedules
Complaints
- Odds data not free
Our summary of public discussions, not a rating. Vendor posts are not counted as user opinion.
Discussions
- A new e-sport API for all you cool projects!r/esports · 2016-03
- Show HN: Pandascore the e-sport APIHacker News · 2016-03
- Esports APIr/esports · 2018-01
- Esports Prize Money Datar/esports · 2020-10
- How do I flatten JSON data of the Pandascore E-Sports GET response format to have a very clean dataframe in pandas?Stack Overflow · 2019-04
- Getting upcoming Games in LOL with C#Stack Overflow · 2022-10
- Replacing array value with a matching objectStack Overflow · 2020-06
- Ajax requesting an API for data on a projectStack Overflow · 2020-08
Open-source projects using it
Videos
- Data Driven Paris - Artificial Intelligence & Data - Flavien Guillocheau, PandascoreSerena VC · 2018-07
- PandaScore adds real-time play-by-play to esports data feedeSports · 2018-05
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Evidence & transparency
Official sources
- https://pandascore.co
- https://developers.pandascore.co/docs/introduction
- https://www.pandascore.co/pricing
- https://www.pandascore.co/terms-and-condition
- https://www.pandascore.co/
Facts were extracted from the provider's own pages on 2026-11-03. Empty fields mean the provider does not say, not that the feature is missing. How we know