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Free / open data · United States

SportsDataverse logo

SportsDataverse

Community project shipping free R, Python and Node.js packages (cfbfastR, hoopR, wehoop, fastRhockey) plus an open data warehouse with play-by-play, box scores, betting lines and win-probability models.

Facts verified against the provider's site on

Commercial use: not disclosedBetting use: not disclosedNeutral
Visit official siteOpen API docsCompare
Featured in:🏒 Best Ice hockey APIs🎓 Best College sports APIs
50

SportDex Score

#51 of 233 sports APIs

See the full ranking →
Popularity
32

Brand demand, developer discussions, GitHub repos and videos

Community & reliability
—

Tone of public discussions, liked vs criticised points, reliability complaints; not enough public discussion to judge.

Transparency
65

Public prices, docs, terms and coverage you can check before calling sales

Developer experience
65

Free access, docs, SDKs, OpenAPI, sandbox, realtime delivery, ecosystem

Computed from public data only; uptime and latency are not measured yet. Enterprise feeds that sell by contract score lower on transparency by design. How the score works

Starting price
Not public
Free access
Free tier
Sports
4 (American football, College sports…)
Live data
Not disclosed
Delivery
SDK only, CSV download
Discussions
2 threads
GitHub adoption
95 repos

Best for

Researchers and analysts who work in R, Python or Node.js and want free play-by-play and box-score data for US football, basketball and hockey.

Analytics notebooksWin-probability modelsCollege sports research

Not ideal for

Teams wanting a hosted REST API with an SLA or live feeds; it is a set of open-source packages and a data warehouse.

Limitations to check

  • − Covers 10 leagues in the warehouse
  • − Distributed as packages and files, not a hosted REST service
  • − No terms or licence page was saved

Written from the provider's own pages (source).

Last checked 2026-11-03

SportsDataverse at a glance

What is SportsDataverse best for?
Researchers and analysts who work in R, Python or Node.js and want free play-by-play and box-score data for US football, basketball and hockey. Not ideal for: Teams wanting a hosted REST API with an SLA or live feeds; it is a set of open-source packages and a data warehouse.
How much does SportsDataverse cost?
SportsDataverse does not publish prices on the pages we checked.
Does SportsDataverse have a free tier?
Yes. SportsDataverse lists a free plan called "Open source".
What does SportsDataverse cover?
SportsDataverse is a free / open data. Its sports: American football, College sports, Basketball, Ice hockey; data: Historical data, Odds, Play-by-play, Player stats, Predictions, Team stats.
Does SportsDataverse have a WebSocket or streaming API?
No streaming is listed. SportsDataverse delivers data by SDK only, CSV download, so you poll for updates.
What do developers say about SportsDataverse?
Free community R and Python packages (hoopR, cfbfastR, wehoop and others) for play-by-play and box score data. Evidence is mostly usage: an NBA streak visualization built with hoopR, baseball and play-by-play repos, sports-analytics meetup talks and YouTube analyses crediting it. No complaints or detailed opinions surfaced.
What are the alternatives to SportsDataverse?
Close alternatives in the SportDex catalog: CollegeFootballData.com, BALLDONTLIE, API-Sports / API-Football, Highlightly, DunkAPI.

Commercial decision

Pricing & plan limits

PlanPriceRequestsWhat's included
Open sourceFree—Free packages and warehousesource

Country assumed US (not stated on crawled text). Warehouse formats not verified (csv-download inferred). 10 leagues in the warehouse.

Before choosing a paid plan, confirm

• What counts as one request (per call, per market, per region?)

• What happens when you exceed the quota: blocked or billed

• Whether live and historical data are on your plan

• Whether your use (public app, betting, resale) is licensed

The critical question

Data coverage

Sports
American footballCollege sportsBasketballIce hockey
Data types
Historical dataOddsPlay-by-playPlayer statsPredictionsTeam stats
Key competitions
Not disclosed
Competitions
Not disclosed
Live / in-play
Not disclosed
Women's competitions
Yes
Betting markets
Not disclosed
Bookmaker regions
Not disclosed
Bookmakers
Not disclosed
History depth
Not disclosed
Update frequency
Not disclosed
Name languages
Not disclosed
ID mapping
Not disclosed

Coverage often depends on the plan; confirm the exact league and season on your plan.

Before you build

Usage rights & access

Commercial use
Not disclosed
Betting products
Not disclosed
Redistribution
Not disclosed
Storing data
Not disclosed
Attribution
Not disclosed
Logos & photos
Not disclosed
Who can buy
Not disclosed
Verification (KYC)
Not required
Not available in
Not disclosed
Only available in
Not disclosed

Developer-ready evaluation

Integration & documentation

Protocols
SDK onlyCSV download
Formats
CSV
Authentication
none
SDKs
R, Python, Node.js
OpenAPI spec
Not disclosed
Claimed latency
Not disclosed
Status page
Not disclosed
Sandbox / test keys
Not disclosed
Support
Not disclosed
SLA uptime
Not disclosed
Preview brief
# Integration brief: SportsDataverse

Goal: build a feature on SportsDataverse data. Use only the official documentation below as the source of truth.

## Known facts (from SportDex, verify before relying on them)
- Website: https://sportsdataverse.org
- Docs: https://www.sportsdataverse.org/packages
- Sports: American football, College sports, Basketball, Ice hockey
- Data: Historical data, Odds, Play-by-play, Player stats, Predictions, Team stats
- Protocols: SDK only, CSV download; formats: csv
- Auth: none
- Free plan: Open source
- Note: Country assumed US (not stated on crawled text). Warehouse formats not verified (csv-download inferred). 10 leagues in the warehouse.

## Verify before writing code
- live update frequency
- whether commercial use is allowed on the plan you pick
- exact endpoint paths, parameters and response fields (read the official docs, do not guess)

## Implementation rules
- Keep the API key on the server (environment variable, backend route or edge function); never ship it to the browser.
- Cache responses and respect rate limits; count how many requests each screen triggers.
- Handle errors explicitly: invalid key, quota exceeded (429), missing fields, empty fixtures, timeouts.
- Start with one demo request and log the raw response before building UI on assumed field names.

Data quality signals

Data source & company

Official partners
Not disclosed
How data is collected
community
Certifications
Not disclosed
Payment methods
Not disclosed
Minimum contract
Not disclosed
Country
United States
Founded
Not disclosed

Reddit · Hacker News · Stack Overflow · GitHub · YouTube

What developers say

Neutralfree tiercoverage

Free community R and Python packages (hoopR, cfbfastR, wehoop and others) for play-by-play and box score data. Evidence is mostly usage: an NBA streak visualization built with hoopR, baseball and play-by-play repos, sports-analytics meetup talks and YouTube analyses crediting it. No complaints or detailed opinions surfaced.

Praised for

  • Free open-source packages
  • Used by analysts and YouTube creators

Complaints

    Nothing specific.

    Our summary of public discussions, not a rating. Vendor posts are not counted as user opinion.

    Discussions

    Shortlist next steps

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    Evidence & transparency

    Official sources

    Facts were extracted from the provider's own pages on 2026-11-03. Empty fields mean the provider does not say, not that the feature is missing. How we know