TennisApi Review: Live Scores, Rankings & Stats for 500+ Tournaments

What TennisApi does and who it is for

TennisApi is a purpose-built REST API for tennis data. It aggregates live scores, results, fixtures, player and team rankings, and match statistics from over 500 tournaments — ranging from ATP and WTA majors like the Australian Open, French Open, Wimbledon, and US Open down to Davis Cup, Fed Cup, and Challenger events. The data includes both men's and women's draw results for singles and doubles.

The API is a practical fit for three main developer use cases: sports media applications that need live score feeds and schedule information, prediction or betting tools that can consume odds data alongside match statistics, and fan or fantasy-sports apps that benefit from player rankings, head-to-head history, and tournament calendars. If you need multi-sport coverage rather than tennis-specific depth, the provider points to their AllSportsApi offering instead.

Endpoint walkthrough

The API exposes 100 endpoints in total; the 40 documented here span eight functional areas.

Live match data

The most time-sensitive endpoints sit in the Matches group. GET /api/tennis/events/live returns all currently active matches in a single call, which you will want to poll regularly in any live-score application. For a single match, GET /api/tennis/event/{id}/point-by-point returns a chronological log of every point and game — useful for building play-by-play timelines or detailed post-match breakdowns. GET /api/tennis/event/{id}/statistics surfaces standard serve metrics and break-point data. The getTennisPowerGraph endpoint adds momentum context by combining service statistics into a visual-friendly data shape.

Schedule and calendar

The Calendar group lets you query in two granularities: a monthly overview of unique tournaments (getTennisCalendarForMonth), or a single-day breakdown of categories with scheduled events (getDailyTennisCategories). Combined with the Categories endpoint getTennisEventsByCategoryAndDate, you can build a filtered daily schedule by tour level (ATP, WTA, Challenger, etc.).

Rankings

Four endpoints cover official and live rankings. getATPRankings and getWTARankings return the current published standings, while getLiveATPRankings and getLiveWTARankings update in real time as tournament points accumulate during an active event. This distinction matters if you are building a rankings tracker during a Grand Slam week.

Betting odds

Odds data appears in two places: getAllOddsForEvent fetches all available odds from a specified bookmaker provider for a single match, and getTennisEventsWithOddsByDate returns a day's worth of matches pre-joined with odds from bookmaker ID 1. These endpoints position TennisApi as a viable data layer for odds comparison or model-training workflows, though you should verify the breadth of bookmaker coverage against your requirements before committing.

TV broadcast data

A notable feature that many comparable APIs omit is broadcast information. getMatchTVCountries lists the countries and TV channels airing a specific match, getTVChannelSchedule returns a channel's full broadcast schedule, and getCountryTVChannels maps available channels to a country code. If your product surfaces "where to watch" information alongside live scores, this group covers that need without a separate data source.

Players and tournaments

Player-centric endpoints include recent tournament history and upcoming or recent match lists. On the tournament side you can retrieve logos, top-performing teams in a main draw, and all events for a specific venue within a tournament season. Placeholder image endpoints (SVG and PNG) for players, managers, teams, and tournaments are also available, which saves you from serving broken images when an asset is unavailable.

Pricing breakdown

The BASIC tier is essentially a development and evaluation tier. Fifty requests per day is enough to test individual endpoints and validate response shapes, but it rules out any production use-case — even a simple live-score widget polling every few minutes would exhaust the quota in hours. The 4 req/sec rate limit is not the binding constraint here; the daily ceiling is.

PRO at $9.99/month unlocks 15,000 daily requests, which supports a moderate production load: polling live matches every 30 seconds while serving hundreds of concurrent users is feasible. The overage rate of $0.0001 per request is low enough that burst traffic during a Grand Slam final is unlikely to produce a surprising bill.

ULTRA's 50,000 daily requests suit data-intensive applications — full daily schedule ingestion, continuous live scoring across multiple concurrent matches, plus historical lookups. MEGA removes the daily cap entirely (billed monthly) and raises the rate limit to 10 req/sec, making it the right choice for high-traffic production services or batch-heavy pipelines that do not want to model daily quotas at all.

Practical use cases

• Live score widget: Poll getLiveTennisMatches and getPointByPointData on a timer. PRO covers typical traffic; MEGA suits high-volume sites during Slams.
• Rankings page: Combine getATPRankings/getWTARankings for baseline tables with the live variants to add a race-to-the-top feature during active tournaments.
• "Where to watch" integration: Chain getMatchTVCountries with the user's geolocation to show relevant broadcast channels for an upcoming match.
• Betting or prediction models: Use getAllOddsForEvent alongside getMatchStatistics and head-to-head history to build feature sets for match outcome models.
• Tournament preview content: Pull fixture schedules via calendar endpoints, enrich with player stats and tournament logos, and generate automated preview articles or social posts.

Limitations and things to check before integrating

The 40 publicly documented endpoints represent only the first 40 of 100 total. Before building against any endpoint not listed here, confirm its availability and response contract through the RapidAPI console.

All statistics and information are sourced from third parties; the provider collects and organizes but does not originate the data. Verify data freshness requirements for your application — point-by-point updates during a live match will have different staleness tolerances than weekly rankings.

The BASIC plan's 50-request daily cap makes it unsuitable for anything beyond local testing. Budget PRO ($9.99/month) as your true minimum viable production cost. If your application operates across multiple tennis tournaments simultaneously and needs frequent polling, model your expected daily request count carefully before choosing between ULTRA and MEGA.

Getting started

TennisApi is distributed through RapidAPI. Subscribe on the marketplace (the BASIC tier requires no payment details to start), obtain your X-RapidAPI-Key, and hit a simple endpoint like getATPRankings or getTennisCalendarForMonth to verify your setup. The 100% reported success rate and 158 ms average latency suggest a stable integration target. Once you have validated the response schema against your data model, scaling up to a paid tier is a straightforward plan change on the RapidAPI dashboard.