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PandaScore vs Cricsheet (2026)
Short answer: PandaScore scores slightly higher (65 vs 61). Cricsheet is the better pick for cricket analysts and researchers who want free ball-by-ball match data with person and venue ID registers, downloaded in bulk as JSON, YAML or CSV.
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
- ✓ 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 Cricsheet if you…
Free / open data
Best for: Cricket analysts and researchers who want free ball-by-ball match data with person and venue ID registers, downloaded in bulk as JSON, YAML or CSV.
- ✓ need Cricket
- ✓ need commercial use allowed in the public terms
- ✓ value a large open-source ecosystem of wrappers and examples
- ✓ care most about what developers report in practice
Not ideal for: Live scores or in-play apps, or anyone needing a REST API; it is bulk downloads of historical data only.
What developers say
Free ball-by-ball cricket data in JSON, YAML and CSV, widely used for analytics packages, IPL analysis repos and dashboards, with millions of deliveries loaded into projects. Users value it as a free, detailed source. Limits: bulk file downloads only, with no live scores, so people look elsewhere for live APIs.
Side by side
| PandaScore | Cricsheet | |
|---|---|---|
| SportDex Score | 65/100 (#9) | 61/100 (#14) |
| Popularity | 53 | 43 |
| Community & reliability | Not enough data | 70 |
| Transparency | 90 | 90 |
| Developer experience | 61 | 52 |
| Type | Esports data | Free / open data |
| Starting price | from €400/mo | Free tier |
| Free tier | Yes | Yes |
| Free trial | Not stated | Not stated |
| Sports | Esports | Cricket |
| Data | Fixtures, Historical data, Odds, Play-by-play, Results, Live scores, Team stats | Historical data, Play-by-play, Results, Team stats |
| Delivery | Streaming (WebSocket) | CSV download |
| Protocols | REST, WebSocket | CSV download |
| Live / in-play | Yes | No |
| Commercial use | Commercial: Paid plans only | Commercial: Allowed |
| Betting products | Betting: Not allowed | Betting: not disclosed |
| Documentation | Docs | Docs |
| Developer discussions | 8 | 3 |
| GitHub repos | 195 | 827 |
| Community tone | Too little discussion | Mostly positive |
Empty fields mean the provider does not say, not that the feature is missing.
Quick answers
- Is PandaScore or Cricsheet better?
- PandaScore scores slightly higher (65 vs 61). Cricsheet is the better pick for cricket analysts and researchers who want free ball-by-ball match data with person and venue ID registers, downloaded in bulk as JSON, YAML or CSV.
- Which is cheaper, PandaScore or Cricsheet?
- PandaScore: from €400/mo. Cricsheet: Free tier. Entry plans differ in limits and coverage, so compare what each plan includes.
- Do PandaScore and Cricsheet have a free tier?
- PandaScore: yes. Cricsheet: yes.