API-Sports / API-Football vs SportsDataverse (2026)
Short answer: API-Sports / API-Football scores clearly higher overall (70 vs 50). SportsDataverse is the better pick 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.
From public data checked . How we know
Choose API-Sports / API-Football if you…
Sports data API
Best for: Football-first apps that want self-serve REST access with fixtures, live scores, lineups, stats and pre-match odds, starting from a free daily-request plan.
- ✓ need Football (soccer), Australian football, Baseball
- ✓ need live / in-play data
- ✓ 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: Betting, TV or mass-media products that need licensed data; the provider grants no publication licence and leaves rights clearance to you.
What developers say
Very widely used for football side projects, prediction models and live-score apps, praised for broad league coverage, decent docs and low price (about $19/month). Complaints: free plan limited to past seasons and 100 requests/day, inconsistent or missing stats, closing odds gaps, a reported quality drop, and thin non-football depth.
Choose SportsDataverse if you…
Free / open data
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.
What developers say
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.
Side by side
| API-Sports / API-Football | SportsDataverse | |
|---|---|---|
| SportDex Score | 70/100 (#3) | 50/100 (#53) |
| Popularity | 79 | 32 |
| Community & reliability | 49 | Not enough data |
| Transparency | 100 | 65 |
| Developer experience | 53 | 65 |
| Type | Sports data API | Free / open data |
| Starting price | from $19/mo | Free tier |
| Free tier | Yes | Yes |
| Free trial | Not stated | Not stated |
| Sports | Football (soccer), Australian football, Baseball, Basketball, Formula 1, Handball, Ice hockey, MMA, American football, College sports, Rugby, Volleyball | American football, College sports, Basketball, Ice hockey |
| Data | Fixtures, Injuries, Lineups, Odds, Player stats, Predictions, Live scores, Standings, Team stats | Historical data, Odds, Play-by-play, Player stats, Predictions, Team stats |
| Delivery | Polling only (REST) | SDK only, CSV download |
| Protocols | REST | SDK only, CSV download |
| Live / in-play | Yes | Not disclosed |
| Commercial use | Commercial: Allowed | Commercial: not disclosed |
| Betting products | Betting: Licence required | Betting: not disclosed |
| Documentation | Docs | Docs |
| Developer discussions | 60 | 2 |
| GitHub repos | 1.6k | 95 |
| Community tone | Mixed | Neutral |
Empty fields mean the provider does not say, not that the feature is missing.
Quick answers
- Is API-Sports / API-Football or SportsDataverse better?
- API-Sports / API-Football scores clearly higher overall (70 vs 50). SportsDataverse is the better pick 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.
- Which is cheaper, API-Sports / API-Football or SportsDataverse?
- API-Sports / API-Football: from $19/mo. SportsDataverse: Free tier. Entry plans differ in limits and coverage, so compare what each plan includes.
- Do API-Sports / API-Football and SportsDataverse have a free tier?
- API-Sports / API-Football: yes. SportsDataverse: yes.