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PandaScore vs Riot Games API (2026)
Short answer: PandaScore scores clearly higher overall (65 vs 56). Riot Games API is the better pick for League of Legends tools that need player, ranked and match history data from the official Riot API.
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 live / in-play data
- ✓ want WebSocket push instead of polling
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 Riot Games API if you…
Esports data
Best for: League of Legends tools that need player, ranked and match history data from the official Riot API.
- ✓ value a large open-source ecosystem of wrappers and examples
Not ideal for: Betting or esports tournament feeds, and other games: this is League of Legends game data only.
What developers say
Official Riot API for League of Legends, TFT and Legends of Runeterra data, with free dev keys. Mentions are mostly old announcements: launch, an early scraping ban pushing developers to the API, match-history deadlines, and API challenges. Libraries such as Cassiopeia show lasting use, but there is little recent user opinion on limits or quality.
Side by side
| PandaScore | Riot Games API | |
|---|---|---|
| SportDex Score | 65/100 (#9) | 56/100 (#30) |
| Popularity | 53 | 51 |
| Community & reliability | Not enough data | Not enough data |
| Transparency | 90 | 65 |
| Developer experience | 61 | 54 |
| Type | Esports data | Esports data |
| Starting price | from €400/mo | Free tier |
| Free tier | Yes | Yes |
| Free trial | Not stated | Not stated |
| Sports | Esports | Esports |
| Data | Fixtures, Historical data, Odds, Play-by-play, Results, Live scores, Team stats | Historical data, Player stats, Results, Team stats |
| Delivery | Streaming (WebSocket) | Polling only (REST) |
| Protocols | REST, WebSocket | REST |
| Live / in-play | Yes | Not disclosed |
| Commercial use | Commercial: Paid plans only | Commercial: not disclosed |
| Betting products | Betting: Not allowed | Betting: not disclosed |
| Documentation | Docs | Docs |
| Developer discussions | 8 | 70 |
| GitHub repos | 195 | 2.9k |
| 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 Riot Games API better?
- PandaScore scores clearly higher overall (65 vs 56). Riot Games API is the better pick for League of Legends tools that need player, ranked and match history data from the official Riot API.
- Which is cheaper, PandaScore or Riot Games API?
- PandaScore: from €400/mo. Riot Games API: Free tier. Entry plans differ in limits and coverage, so compare what each plan includes.
- Do PandaScore and Riot Games API have a free tier?
- PandaScore: yes. Riot Games API: yes.