Sports data for research and analytics.
Structured historical and live sports datasets for sports science, statistical modelling and academic research, across 35+ sports and 2,600+ leagues a year.
Good sports research needs clean, consistent data at scale, and most open sources fall apart the moment you leave the top five football leagues.
Outlier provides structured datasets across 35+ sports, with the same schema for every competition, so you can spend your time on the model rather than on cleaning spreadsheets.
What you get
Consistent schemas
The same structure across sports and leagues makes cross-competition studies straightforward.
Historical depth
Results, statistics and head-to-head data across seasons for longitudinal work.
Validated data
We cross-check sources and flag discrepancies automatically, so outliers in your data are real ones.
Bulk and live access
REST for historical pulls, WebSocket for live studies and real-time models.
Data you can use
- Historical results
- Team and player statistics
- Head-to-head records
- Live event data
- Analytics and trend data
- Bulk REST access
See the full sports data API and coverage by sport.
Other use cases
Tell us about your product.
We'll show you the coverage and delivery options that fit, without a sales script.
Talk to our team →