Pandascore

Esports Data & Odds APIpandascore.co

PandaScore provides AI-powered esports data and odds APIs to sportsbook operators, betting platforms, fantasy providers, prediction market operators, and media companies, covering 15 game titles and delivering real-time and historical data via REST and WebSocket feeds.

Company typePrivate
Founded2015
HeadquartersParis, France
Headcount51–100
GTM typeB2B
OfferingSoftware

What Pandascore does

PandaScore is a Paris-headquartered B2B SaaS provider of AI-powered esports data and odds, founded in 2015 to serve sportsbook operators, betting platforms, fantasy sports providers, prediction market operators, and media companies. The company delivers its offering through a REST API and WebSocket feeds across 15 esports titles including League of Legends, Counter-Strike 2, Dota 2, Valorant, Rocket League, and niche mobile titles such as King of Glory and Mobile Legend Bang Bang. Its data surface covers 132,000+ historical matches over 6 years and 26,000+ projected events in 2025, generating 1 billion data points per year.

The technical stack combines computer vision models that extract live data from video stream overlays, machine learning processing 300+ data points per second, proprietary statistical models (Markov Binomial distribution for CS:GO round modeling), and a human esports trading team for odds generation. The platform supports sub-5-second low-latency feeds, real-time frames snapshots every 2 seconds, and timeline event feeds for major in-game actions. The product portfolio includes PandaScore Odds, PandaScore Stats, a Predictions module, a Fantasy module, and Risk Management & iFrame tooling, distributed through five subscription tiers ranging from Fixture (free baseline) to Low Latency (sub-5-second feed).

PandaScore operates an API-first GTM with self-serve onboarding for smaller accounts, dedicated enterprise sales for sportsbook operators (with named customers including William Hill, Betway, Betfair, Entain, Ladbrokes, Sofascore, and Sporting Solutions), and tiered monthly or annual subscriptions billed in euros. The company maintains offices in Paris, London, and Valletta, is registered as a French SAS, and is backed by Alven, AXiomatic, Serena, 50 Partners, and European Funds (FFVC). It won the EGR Esports Betting Supplier 2024 award and has raised approximately $8.77M across a 2017 seed and a 2020 round.

Pandascore firmographics

Firmographics

Name: Pandascore
Legal name: Pandascore
Website: https://pandascore.co
Company type: Private
Founded year: 2015
Operating status: Operating
Headcount range: 51–100 employees
Short description: PandaScore provides AI-powered esports data and odds APIs to sportsbook operators, betting platforms, fantasy providers, prediction market operators, and media companies, covering 15 game titles and delivering real-time and historical data via REST and WebSocket feeds.
Ownership category
akta.pro rank

Pandascore industry classification

Industry

Product category: Esports Data & Odds API
NAICS: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Spectator Sports (71121)
SIC: Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
akta.pro primary industry: Sportsbook Trading, Odds & Feed Providers (MPAEAKAB)
akta.pro secondary industries: Sports Data Feeds & Integrity Monitoring (MPAEACAE), Esports Data, Analytics & Integrity Services (Stats, Anti-Cheat, Anti-Fraud) (MPAFADAI), Fantasy Data Feeds & Statistics Providers (MPAEAHAE)

Keywords

Esports data API
Esports odds feed
Betting data solutions
Live esports statistics
Prediction market infrastructure

Where Pandascore is headquartered

Location

Headquarters

HQ city: Paris
HQ country: France
HQ region: Europe

Offices4 records

Markets served

Pandascore business model

Business model

GTM type: B2B
Offering type: Software
Cost components: Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

API Subscription Plans: PandaScore generates revenue through tiered API subscription plans (Fixture, Historical Data, Live Basic, Live Pro, Low Latency) with monthly or annual billing. Each subscription tier provides access to specific data types with different request rate limits. Payment is processed monthly or yearly via credit card through PandaScore's payment provider. Prices are excluding taxes and payable in euros.
Odds Feed for Sportsbooks: PandaScore provides odds data and risk management tools to sportsbook operators who use it to power their esports betting products. The company was awarded EGR Esports Betting Supplier 2024, indicating strong market penetration in the B2B odds supply market.
Prediction Data Infrastructure: Prediction market infrastructure for operators launching esports prediction markets, including market creation, live match data streaming, and automatic result settlement. Revenue likely generated as part of subscription tiers or add-on services.
Fantasy Data Solution: Expert-verified pre-match markets and settlement data for fantasy sports providers, delivered via API integration with dedicated helper codes and documentation.
Risk Management Services: Real-time bet evaluation and risk management tools for sportsbooks operating esports markets, evaluating bets against configured risk policies, live market conditions, and bettor history.

Pricing tiers

Model	Billing	Price
Subscription	Monthly	Fixture Subscription - Basic static data and calendar access
Subscription	Monthly	Historical Data Subscription - Extended data with post-match statistics
Subscription	Monthly	Live Basic Subscription - Real-time API with WebSocket connections
Subscription	Monthly	Live Pro Subscription - Detailed event data for each match
Subscription	Monthly	Low Latency Subscription - Sub-5-second latency in-game data

Go-to-market motion2 records

Distribution channels3 records

Marketing channels7 records

Pandascore product offering

Product offering

Core offering

PandaScore provides AI-powered esports data and odds APIs to sportsbook operators, betting platforms, fantasy sports providers, prediction market operators, and media companies. Its core offerings include a real-time odds feed powered by a dedicated esports trading team and an esports statistics API delivering historical and live match data via WebSocket feeds across 15 game titles including League of Legends, CS2, Dota 2, and Valorant.

Product overview

PandaScore is an AI-powered esports data and odds API platform providing a unified product portfolio centered on its Odds and Stats core products. The Stats API offers historical and live data (frames and events feeds) across 15+ esports titles including League of Legends, CS2, and Dota 2. The Odds API delivers real-time betting odds powered by AI and expert traders. Additional modules include Predictions (market infrastructure for prediction markets), Fantasy (player-focused markets and settlement data), Risk Management (real-time bet evaluation), and iFrame (embeddable betting interface). Subscription tiers range from Fixture (basic static data) through Historical Data, Live Basic, Live Pro, to Low Latency (sub-5 second data feed). The platform serves esports sportsbooks, betting operators, fantasy providers, and media platforms.

Differentiator

Problem solved

Functional benefit

Products and services

PandaScore Odds

Quantifiable outcome

€400+ million EUR in total bet volume on PandaScore-powered esportsbooks in 2023
+5 more outcomes

Companies that use Pandascore

Customer profile

Named customers16 records

Segments4 records

Ideal customer profiles4 records

Pandascore technology and API

Technology

Technology focussed Yes

API detail

Has API: Yes
API docs
API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature10 records

Pandascore partnerships and signals

Strategic signal

Partnerships

Two partnerships are on record, tiered major and core.

Sporting SolutionsmajorChannel Partner/ Reseller/ Distributor · 15 March 2022Sporting Solutions signed a data and odds distribution deal with PandaScore, described as PandaScore's 'largest yet' partnership. Sporting Solutions is a leading platform for betting operators, distributing PandaScore's esports odds and data to a broader network of sportsbook operators.
SofascorecoreTechnology or Integration · 1 January 2020Over four-year partnership where Sofascore uses PandaScore data to power esports coverage on their live score app. PandaScore provides pre-match statistics, WebSocket live feeds for in-game stats, and post-game data. Nearly 1 million users engage with at least one esports event on Sofascore weekly. Sofascore describes PandaScore's data as consistent with no bugs, great API documentation, and accessible historical data.

Scale indicators13 records

Recent moves6 records

Expansion highlights6 records

Pandascore competitors and assessment

Company assessment

Broad incumbents

Stats Perform: Stats Perform provides sports data, AI-powered content, and betting data feeds to operators and media. It is a broad incumbent that has invested in esports data products, offering an alternative to PandaScore for operators seeking a single multi-sport provider.
Sportradar: Sportradar is a global sports data and content company that has expanded into esports data and odds for sportsbooks. It is a broad incumbent with overlapping esports offerings, but its primary focus spans traditional sports, betting technology, and integrity services.
Genius Sports: Genius Sports is a sports data, technology, and media company serving sportsbooks, leagues, and media partners. It has expanded its data and odds product set to include esports, competing with PandaScore as part of a broader portfolio.
Enetpulse: Enetpulse is a sports data feed provider serving sportsbooks and media with pre-match and live data across many sports, including esports. It competes with PandaScore for operator data contracts but as part of a wider multi-sport portfolio.

Direct peers

BETER: BETER is an esports and sports content provider offering data feeds, odds, and streaming for sportsbook operators. Its esports division competes directly with PandaScore on odds, live data, and trading services for the same sportsbook buyer.
Abios: Abios is a Stockholm-based esports data API provider offering fixtures, live data, and odds feeds to sportsbooks and media. It is the closest direct competitor to PandaScore, covering the same esports titles with a similar B2B subscription model.
Bayes Esports: Bayes Esports is a Berlin-based esports data and odds provider serving sportsbooks with live data, pre-match odds, and trading services. It is a head-to-head competitor in the same B2B esports data/odds category as PandaScore.
Oddin.gg: Oddin.gg provides esports odds feeds, risk management, and iFrame betting solutions to sportsbook operators. It directly overlaps with PandaScore's odds, risk management, and iFrame modules for the same operator buyer.

Emerging players

Esports Charts: Esports Charts provides esports audience viewership analytics and media data to rights holders, sponsors, and media companies. It overlaps with PandaScore on esports data for media buyers but does not focus on sportsbook odds.

Others

Catena Media: Catena Media is a lead generation and content company for the online sports betting and casino industry. It is not a direct data/odds competitor to PandaScore but operates in the same betting ecosystem, often as a customer or adjacent supplier to the same operators PandaScore serves.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights8 records

Customer concentration

Pandascore financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Pandascore leadership team

Management profile

Number of profiles

Profiles8 records

Pandascore funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Pandascore M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Pandascore

What does Pandascore do?

Is Pandascore a public or private company?

Pandascore is a private company. It is classified as venture growth investor backed and is currently operating.

When was Pandascore founded?

Pandascore was founded in 2015. It employs 51 to 100 people.

Where is Pandascore based?

Pandascore is headquartered in Paris, France, in the Europe region.

How does Pandascore make money?

Five revenue lines are on record. API Subscription Plans are the primary driver. The others are odds Feed for Sportsbooks, prediction Data Infrastructure, fantasy Data Solution and risk Management Services.

Who are Pandascore's main competitors?

Broad incumbents on record are Stats Perform, Sportradar, Genius Sports and Enetpulse. Direct peers are BETER, Abios, Bayes Esports and Oddin.gg. Esports Charts is listed as an emerging player. Catena Media is listed as an others.

Does Pandascore have an API?

Yes. PandaScore provides a public REST API and WebSocket feeds for esports data and odds. The API supports real-time match data via WebSockets (frames feed - snapshots every 2 seconds, and events feed - timeline of in-game events). Available for all major esports titles including Counter-Strike 2, Dota 2, League of Legends, and Valorant. Documentation available at developers.pandascore.co with sandbox environment for testing. Developer documentation is at developers.pandascore.co/docs.

What industry is Pandascore in?

Pandascore's product category is Esports Data & Odds API. Its primary akta.pro industry code is MPAEAKAB, Sportsbook Trading, Odds & Feed Providers, with a secondary code of MPAEACAE, Sports Data Feeds & Integrity Monitoring. Its NAICS code is 518210 and its SIC code is 7370.