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PandaScore vs Live Tennis API (2026)
Short answer: PandaScore scores clearly higher overall (65 vs 56). Live Tennis API is the better pick for tennis apps, dashboards and models needing live point-by-point scores and history across ATP, WTA, Challenger and ITF, with a permanent free tier.
From public data checked . How we know
Choose PandaScore if you…
Esports data
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.
- ✓ need Esports
- ✓ value a large open-source ecosystem of wrappers and examples
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.
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.
Choose Live Tennis API if you…
Sports data API
Best for: Tennis apps, dashboards and models needing live point-by-point scores and history across ATP, WTA, Challenger and ITF, with a permanent free tier.
- ✓ need Tennis
Not ideal for: Projects needing other sports or free odds; odds and the WebSocket feed start on paid plans.
What developers say
Tennis feed (REST and WebSocket) with point-by-point scores, odds and win probability. Most mentions are vendor-authored issues and promotions. A few independent users say they use it for tennis models or a match-simulation app and find the data detailed, but there is no real feedback on price, reliability or latency.
Side by side
| PandaScore | Live Tennis API | |
|---|---|---|
| SportDex Score | 65/100 (#9) | 56/100 (#28) |
| Popularity | 53 | 38 |
| Community & reliability | Not enough data | Not enough data |
| Transparency | 90 | 85 |
| Developer experience | 61 | 60 |
| Type | Esports data | Sports data API |
| Starting price | from €400/mo | from $9.99/mo |
| Free tier | Yes | Yes |
| Free trial | Not stated | Not stated |
| Sports | Esports | Tennis |
| Data | Fixtures, Historical data, Odds, Play-by-play, Results, Live scores, Team stats | Fixtures, Historical data, Odds, Play-by-play, Predictions, Results, Live scores, Team stats |
| Delivery | Streaming (WebSocket) | Streaming (WebSocket) |
| Protocols | REST, WebSocket | REST, WebSocket, Webhooks |
| Live / in-play | Yes | Yes |
| Commercial use | Commercial: Paid plans only | Commercial: not disclosed |
| Betting products | Betting: Not allowed | Betting: not disclosed |
| Documentation | Docs | Docs |
| Developer discussions | 8 | 8 |
| GitHub repos | 195 | 80 |
| Community tone | Too little discussion | Too little discussion |
Empty fields mean the provider does not say, not that the feature is missing.
Quick answers
- Is PandaScore or Live Tennis API better?
- PandaScore scores clearly higher overall (65 vs 56). Live Tennis API is the better pick for tennis apps, dashboards and models needing live point-by-point scores and history across ATP, WTA, Challenger and ITF, with a permanent free tier.
- Which is cheaper, PandaScore or Live Tennis API?
- PandaScore: from €400/mo. Live Tennis API: from $9.99/mo. Entry plans differ in limits and coverage, so compare what each plan includes.
- Do PandaScore and Live Tennis API have a free tier?
- PandaScore: yes. Live Tennis API: yes.