PandaScore

Where this PandaScore sportsbook review lands

PandaScore is the developer’s esports vendor. This PandaScore sportsbook review gives it credit for that: the documentation is public, sign-up is self-serve, and you can see data shapes before talking to sales. For a CTO, that saves a week.

What PandaScore sells

• Esports odds, priced by data models and traders, with 24/7 live trading support
• Esports stats, the original product, with around 1 billion data points a year (site, October 2026)
• Risk Management & iFrame, marked new
• Pre-match widgets customisable by size, data points, language and colours

Figures on the odds page (October 2026): 26,000+ events and EUR 500M+ betting turnover in 2025, 308 unique markets, 66% year-on-year growth, 82% market uptime. Player props are live on CS, and BetBuilder runs on three major titles.

Reading the 2025 numbers

PandaScore publishes more volume data than most esports vendors, so read it carefully. 26,000+ events in a year across 14 titles is a large calendar, but it includes many tier-2 and tier-3 matches. Those are where limits should be lowest and suspensions most frequent. EUR 500M+ turnover in 2025 says operators trust the prices at scale. The 82% market uptime tells you roughly one minute in five, a market will not be open. That is normal for live esports and better than a book that closes every market at the first pause.

Margin control

The odds page lists granular margin management and a tiering system (October 2026). In practice, that lets a book take a thinner margin on a LoL World Championship match than on a regional qualifier, where information is worse. Ask whether tiers are set per tournament, per title, or both, and who can change them: your traders, or only PandaScore’s.

Why stats plus odds matters

A book that sells esports needs more than prices. It needs match pages, team form and live scoreboards, or the esports tab looks empty next to football. Taking stats and odds from the same vendor means one ID mapping and one set of team names. That’s a quiet saving of engineering time.

Scenario: a sportsbook adding esports properly

An operator already has a general sportsbook and a front-end team. It wants esports that looks native, not an iFrame. PandaScore fits: odds into the existing engine, stats into match pages, margin tiers per tournament level.

For a casino with no sportsbook and no front-end team, Oddin.gg’s more mature iFrame is the faster route.

What to ask PandaScore

• Market uptime by title, live versus pre-match
• Pricing model for odds versus stats, and for both together
• Live references for the new iFrame
• Microbetting timeline
• How are tournaments below tier 1 priced and limited?

Where it ranks

PandaScore is second in our esports odds API ranking, just behind Oddin.gg. For traditional sports, combine it with a vendor from the sportsbook API providers ranking.

Score: 7.9/10. Best for teams that build. Slightly behind Oddin.gg on market availability and on the maturity of its turnkey option.