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Comparison 15 min read Feb 12, 2026

10 Best Sports APIs for Developers (2026)

A hands-on comparison of the 10 best sports APIs in 2026, covering real-time scores, odds, stats, and player data with pricing from free tiers to enterprise plans.

SportsDataAPI Team
10 Best Sports APIs for Developers (2026)

Choosing a sports API comes down to what you are building. A fantasy sports app needs player-level stats and projections. A betting model needs low-latency odds from dozens of bookmakers. A simple scores widget just needs reliable results data without breaking the budget.

This guide compares the 10 best sports APIs available to developers in 2026. Each section covers real pricing, actual sports coverage, and an honest verdict so you can pick the right provider without wading through marketing pages.

What to Look for in a Sports API

Coverage: Sports, Leagues, and Markets

The first filter is whether the API covers the sports and leagues you need. Some providers focus on a single sport (SportMonks for football, for example), while others like API-Sports and Sportradar cover 12 or more disciplines. If you need odds data, check how many bookmakers the provider aggregates and which betting markets are included. A provider listing “70+ sports” might only cover moneylines for half of them.

Data Quality: Accuracy, Latency, Uptime

For live applications, update frequency matters. Some APIs refresh scores every 15 seconds, others every few minutes. Odds APIs vary even more, with premium providers pushing sub-second updates via WebSocket while budget options poll every 60 seconds. Ask about uptime guarantees. Enterprise providers like Sportradar and SportsData.io typically commit to 99.9% SLAs. Smaller providers may not offer formal SLAs at all.

Pricing: Free Tiers vs Paid Plans

Free tiers are useful for prototyping but rarely sufficient for production. Watch for how providers meter usage: some count API requests, some count credits (where one request may consume multiple credits depending on the endpoint), and some charge per event returned. Credit-based pricing can get expensive fast if you are polling frequently across many leagues.

Developer Experience: Docs, SDKs, Support

Good documentation saves hours. Look for interactive API explorers, code examples in your language, and clear endpoint references. SDKs for Python, JavaScript, and other popular languages reduce boilerplate. Support responsiveness varies widely. Enterprise providers offer dedicated account managers, while free-tier providers may only offer community forums or slow email support.

Quick Comparison Table

ProviderSportsFree TierPaid FromBest For
The Odds API70+500 credits/mo$30/moOdds aggregation
Sportradar30+30-day trialCustom (enterprise)Enterprise apps
SportsData.io13+1,000 calls/mo (scrambled)~$500/moFantasy and betting operators
API-Sports12100 req/day per API$10/moMulti-sport dev projects
OpticOdds20+None (custom quotes)CustomLow-latency betting platforms
SportMonks3 (football, cricket, F1)Free forever (2 leagues)EUR 39/moFootball-focused apps
BallDontLie20+5 req/min$9.99/moHobby projects and prototypes
MySportsFeeds5 (NFL, MLB, NBA, NHL, NCAAB)Free for personal use$25/mo per leaguePersonal analytics
SportsGameOdds55+ leaguesFree tier available$149/moCost-efficient odds data
Football-Data.org1 (football)12 competitionsEUR 12/moFree football scores and tables

The Odds API: Features, Pricing, and Verdict

Coverage

The Odds API is a pure odds aggregator. It covers 70+ sports and pulls prices from 40+ bookmakers across four regions (US, UK, EU, Australia). Major bookmakers include DraftKings, FanDuel, BetMGM, William Hill, Pinnacle, and Betfair. Betting markets span head-to-head (moneyline), point spreads, totals, outrights, and player props for select sports. It also provides a scores endpoint and historical odds snapshots going back to 2020.

What it does not include: team stats, player data, lineups, or standings. If you need those, you will pair The Odds API with a separate sports data API.

Pricing

All plans include all sports, all bookmakers, and all markets. The only variable is credits per month.

  • Starter (Free): 500 credits/month
  • 20K: $30/month
  • 100K: $59/month
  • 5M: $119/month
  • 15M: $249/month

Pros and Cons

Strengths: Transparent credit-based pricing, generous free tier for testing, excellent documentation with code examples, broad bookmaker coverage. Weaknesses: No team or player stats, credit consumption can be unpredictable across different endpoints, no WebSocket streaming.

Sportradar: Features, Pricing, and Verdict

Coverage

Sportradar is the largest sports data company in the world and an official data partner of the NFL, NBA, MLB, NHL, and NASCAR. Coverage spans 30+ sports including all major US leagues, global soccer, tennis, golf, cricket, rugby, motorsports, and esports. Data types include live scores, play-by-play, player stats, odds (pre-match and in-play), editorial content, and player imagery.

The API is structured as League Specific APIs for major competitions (with deep, sport-specific stats) and General Sport APIs for worldwide coverage in a consistent format.

Pricing

Sportradar does not publish pricing. It operates on a B2B contract model with custom quotes based on data packages, geographic usage rights, and call volume. A 30-day trial is available through their developer portal with the same real-world data as production, though at lower rate limits. Industry estimates put starting costs at $500 to $1,000+ per month for a single sport, scaling significantly higher for multi-sport enterprise deals.

Pros and Cons

Strengths: Deepest data in the industry, official league partnerships guarantee accuracy, 99.9% uptime SLAs, dedicated account management. Weaknesses: No public pricing (requires sales calls), not accessible to indie developers or small startups, complex onboarding process, B2B contracts only. For more affordable options, see our Sportradar alternatives guide.

SportsData.io: Features, Pricing, and Verdict

Coverage

SportsData.io covers 13+ professional sports leagues including NFL, NBA, MLB, NHL, college football and basketball, soccer, golf, NASCAR, MMA/UFC, WNBA, and tennis. Beyond core scores and stats, it offers a Betting Odds API with live odds feeds, a Fantasy Sports API with projections and DFS salaries, a BAKER predictive engine, and a Vault product for historical data archives. The GRid service (free) provides cross-provider ID mapping, which is useful when combining data from multiple sources.

Pricing

SportsData.io does not list pricing publicly. A free trial provides 1,000 API calls per month with scrambled (not real) data for testing API structure and integration. Their Replay product delivers real historical data in simulated real-time for off-season development. Production access requires contacting their sales team. Estimated starting costs are $500+ per month depending on sports and data products selected.

Pros and Cons

Strengths: Deep North American league coverage, fantasy and betting data under one roof, BAKER predictive engine adds a unique analytics layer, Replay mode is excellent for development. Weaknesses: No public pricing, free trial uses scrambled data, primarily North American focus, enterprise-level cost puts it out of reach for most indie developers.

API-Sports: Features, Pricing, and Verdict

Coverage

API-Sports covers 12 sports through separate sub-APIs: football (soccer), AFL, baseball, basketball, Formula 1, handball, hockey, MMA, NBA, NFL and NCAA, rugby, and volleyball. The football API alone covers 2,000+ competitions across 170+ countries with 15+ years of historical data. Live data updates every 15 seconds. All plans include all endpoints and all competitions for every sport, with the only difference being daily request limits.

Pricing

Pricing is per-API (each sport is a separate subscription), starting at:

  • Free: 100 requests/day per API (permanent, no credit card)
  • Paid plans from $10/month scaling up to custom plans at 1,500,000 requests/day

For the football-specific API (API-Football), the structure is:

  • Free: 100 requests/day
  • Pro: $19/month (7,500 requests/day)
  • Ultra: $29/month (75,000 requests/day)
  • Mega: $39/month (150,000 requests/day)

All plans are prepaid with no auto-renewal. When your quota runs out, the API returns an error rather than billing overage.

Pros and Cons

Strengths: Genuinely free tier that never expires, transparent and affordable pricing, broad multi-sport coverage, no credit card required to start, includes pre-match and live odds. Weaknesses: Each sport requires a separate subscription, 15-second update interval is not fast enough for live betting applications, documentation quality varies between sports.

OpticOdds: Features, Pricing, and Verdict

Coverage

OpticOdds positions itself as the fastest sports betting API on the market, processing over 1 million odds per second across 200+ sportsbooks. Coverage includes all major US leagues (NFL, NBA, MLB, NHL), tennis, cricket, esports, soccer, and many regional leagues. Data products include pre-match and in-play odds, player props, alternate markets, futures, injury data, schedules, lineups, live scores, and a bet grading endpoint for settlement.

Pricing

OpticOdds uses a custom-quote model. There is no public pricing or free tier. Prospective customers fill out an intake form specifying company size and required services, then receive a tailored quote. The company serves 200+ clients ranging from startups to global enterprises, suggesting flexible pricing tiers, but you will not know your cost without talking to sales.

Pros and Cons

Strengths: Industry-leading latency, 200+ sportsbook coverage, includes bet grading and injury data, purpose-built for professional betting platforms. Weaknesses: No free tier, no public pricing, sales process required, primarily focused on betting operators rather than general sports app developers.

SportMonks: Features, Pricing, and Verdict

Coverage

SportMonks is a specialist provider focusing on football (soccer), cricket, and Formula 1. The football API covers 2,500+ leagues with a Premium Odds Feed pulling from 145+ bookmakers across 42 market types. A standout feature is odds movement tracking: SportMonks records opening odds for every fixture and logs every subsequent change, allowing you to reconstruct the full price history of any market.

Pricing

Football API plans are tiered by geography and data depth:

  • Free forever: Danish Superliga and Scottish Premiership
  • European Basic: EUR 39/month (27 leagues)
  • European Advanced: EUR 69/month (27 leagues, deeper data)
  • Worldwide Basic: EUR 129/month (111 leagues)
  • Worldwide Advanced: EUR 219/month (111 leagues, deeper data)
  • Enterprise: custom pricing (2,200+ leagues)
  • Custom Plans: pick only the leagues you need

Cricket plans start at EUR 29/month for 20 leagues, scaling to EUR 75/month for 64 leagues. A 14-day free trial is available on all paid plans.

Pros and Cons

Strengths: Deepest football/soccer coverage available, odds movement history is unique, flexible custom plans, generous free tier for prototyping. Weaknesses: Limited to three sports, pricing adds up quickly for worldwide coverage, primarily European and football-centric. For a broader look at how it compares, see best sports betting APIs.

BallDontLie: Features, Pricing, and Verdict

Coverage

BallDontLie covers 20+ leagues across basketball (NBA, WNBA, NCAAB), football (NFL, NCAAF), baseball (MLB), hockey (NHL), soccer (EPL, La Liga, Serie A, Bundesliga, Ligue 1, Champions League, MLS), MMA, tennis, golf, Formula 1, and esports. It provides live scores, real-time betting odds, game data, team data, and player stats. Python and JavaScript SDKs are available.

Pricing

  • Free: 5 requests/minute, basic endpoints
  • All-Star: $9.99/month (60 requests/minute, game and team data)
  • GOAT: $39.99/month (600 requests/minute, all data for one sport)
  • All-Access: $299.99/month (600 requests/minute, all sports)
  • Enterprise: custom pricing (dedicated support, 99.9% SLA)

Pros and Cons

Strengths: Low entry price, broad sport coverage, developer-friendly with SDKs, Google Sheets integration for non-technical users. Weaknesses: Free tier is heavily rate-limited (5 requests/minute), paid tiers are per-sport unless you go All-Access, data depth does not match specialist providers.

MySportsFeeds: Features, Pricing, and Verdict

Coverage

MySportsFeeds covers five North American leagues: NFL, MLB, NBA, NHL, and NCAA Basketball. Data includes schedules, scores, boxscores, standings, play-by-play, lineups, injuries, DFS data, odds, and projections. The API uses a consistent structure across all leagues. Historical data add-ons cover 5 or 10 seasons for backtesting models.

Pricing

Personal (non-commercial) use is extremely affordable:

  • Non-Live: $3/month per league
  • Live (1-minute delay): $12/month per league
  • Near-Realtime: $15/month per league

Commercial pricing is higher and varies by league and update frequency:

  • Non-Live: $25 to $70/month per league
  • Near-Realtime: $499 to $2,098/month per league

Multi-league discounts range from 10% (2 leagues) to 25% (5 leagues). Add-ons for DFS, odds, and projections are $29/month each.

Pros and Cons

Strengths: Extremely affordable for personal use, consistent API structure across leagues, dedicated personal tier encourages hobbyist development, historical data add-ons available. Weaknesses: Limited to five North American leagues, no soccer or international sports, commercial pricing scales steeply with update frequency, smaller company with less community support than larger providers.

SportsGameOdds: Features, Pricing, and Verdict

Coverage

SportsGameOdds covers 55+ leagues and aggregates odds from 80+ bookmakers. Data includes moneylines, spreads, player props, live scores, and results with settlement data. A key differentiator is how they charge: per event returned rather than per market or bookmaker. This means a single credit gets you all markets and all bookmaker prices for one event, which can be dramatically cheaper than credit-per-request models when polling across many markets.

Pricing

  • Free: limited testing access
  • Rookie: $149/month (100,000 objects/month, 50 requests/minute)
  • Pro: $499/month (unlimited objects, 300 requests/minute, sub-minute updates)
  • All-Star: custom pricing for high-volume platforms

A 7-day free trial is available on paid plans.

Pros and Cons

Strengths: Per-event pricing model saves money on multi-market queries, 80+ bookmaker coverage, includes settlement data. Weaknesses: Higher entry price than The Odds API or API-Sports, relatively new provider with smaller community, no free permanent tier.

Football-Data.org: Features, Pricing, and Verdict

Coverage

Football-Data.org is a community-oriented API focused exclusively on football (soccer). The free tier covers 12 major competitions permanently: Premier League, La Liga, Serie A, Bundesliga, Ligue 1, Eredivisie, Primeira Liga, Championship, Brazilian Serie A, Champions League, World Cup, and European Championship. Data includes fixtures, results, standings, and team information.

Pricing

  • Free: 12 competitions, 10 requests/minute
  • Free with Livescores: EUR 12/month (12 competitions, 20 requests/minute)
  • Standard: EUR 49/month (25 competitions, 60 requests/minute)
  • Advanced: EUR 99/month (50 competitions, 100 requests/minute)
  • Pro: EUR 199/month (100 competitions, 120 requests/minute)

Optional add-ons: odds data at EUR 15/month (40 competitions) and statistics at EUR 15/month (corners, fouls, possession, shots).

Pros and Cons

Strengths: Permanently free tier with 12 major competitions, excellent for learning and prototyping, straightforward pricing, long track record. Weaknesses: Football only, free tier has delayed scores, limited data depth compared to SportMonks or API-Football, no player-level stats without add-ons.

Which API Should You Choose?

Best for Hobby Projects (Free Tier)

API-Sports gives you the most sports coverage on a free plan: 100 requests per day across 12 sports with all endpoints included. For football specifically, Football-Data.org’s free tier covers 12 major competitions permanently. BallDontLie offers free access to 20+ leagues but at only 5 requests per minute, which limits what you can build. The Odds API’s 500 free credits per month work well for prototyping odds-related features.

Best for Production Apps (Reliability)

Sportradar is the industry standard for production applications that require guaranteed uptime and official league data. If Sportradar’s pricing is beyond your budget, SportsData.io offers similar depth for North American sports. For multi-sport production apps on a tighter budget, API-Sports at $19 to $39 per month per sport provides solid reliability with 15-second update intervals.

Best for Betting Models (Data Depth)

OpticOdds leads on latency and bookmaker coverage if you have the budget for a custom quote. The Odds API offers the best value for odds aggregation with transparent pricing starting at $30/month. SportMonks is the top choice for football betting models because of its odds movement tracking and 145+ bookmaker coverage. For a detailed comparison of betting-specific providers, see our guide on the best sports betting APIs.

FAQ

What is the best free sports api?

API-Sports offers the most generous free tier for multi-sport access with 100 requests per day per sport and no credit card required. For football only, Football-Data.org covers 12 major competitions for free permanently. The Odds API provides 500 free credits per month for odds data across 70+ sports. The best free sports data API depends on your specific sport and data requirements.

Which sports api has the lowest latency?

OpticOdds claims the lowest latency in the industry, processing over 1 million odds per second with a server infrastructure designed for sub-second delivery. For live scores, API-Sports updates every 15 seconds. Sportradar offers near-real-time data with official league feeds. If you need WebSocket streaming rather than REST polling, check whether your provider supports it as most budget APIs only offer REST endpoints.

Can I use multiple sports api providers?

Yes, and many production applications do exactly this. A common pattern is pairing an odds API (like The Odds API or OpticOdds) with a stats API (like API-Sports or SportMonks) since few providers excel at both. SportsData.io’s free GRid service helps with ID mapping across providers. The main challenges are aligning entity IDs between providers, managing multiple rate limits, and keeping costs predictable when subscriptions stack up.

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