The Live Tennis API provides real-time updates and information on current tennis matches. It offers a wide range of data, including match scores, current sets, point-by-point updates, player statistics, betting odds, and more. The API is designed to be easily integrated into different applications and platforms, such as websites, mobile apps, and more. It can also be used to power real-time visualizations and graphics to enhance the viewing experience.
This API is suitable for any business or organization that wants to provide up-to-date information on live tennis matches to their customers or audience. The API is also useful for sports betting platforms that need live match data to calculate odds and make predictions.
In summary, the Live Tennis API is an essential tool for anyone looking to stay informed about live tennis matches and provide real-time updates to their customers or audience. It will help you to provide the most accurate and up-to-date information to your customers and help you to stay ahead of the competition.
It will provide you with a JSON. It may receive a parameter.
Providing live match updates on a tennis news website or app.
Powering a live scoring feature on a tennis streaming platform.
Creating a fantasy tennis league where users can draft players based on their live performance.
Building a sports betting platform that uses live match data to calculate odds.
Developing a predictive model for tennis matches using live data as input.
Creating a social media platform that allows tennis fans to discuss and debate live matches.
Providing data for a tennis video game to ensure that player abilities are accurately represented during live matches.
Powering a virtual reality experience that simulates a live match between professional players.
Creating a historical archive of live match data for research or analysis purposes.
Building a real-time match recommendation system for tennis matches or tournaments based on live data and player performance.
Basic Plan: 5,000 API Calls.
Pro Plan: 25,000 API Calls.
Pro Plus Plan: 100,000 API Calls.
Premium Plan: 300,000 API Calls.
The "Fetch Live Tennis Matches" endpoint allows users to retrieve real-time information on ongoing tennis matches with betting odds. The endpoint returns a list of current matches, including the players' names, match scores, current sets, point-by-point updates, and statistics. This endpoint is designed to be easily integrated into different applications and platforms, such as websites, mobile apps, and more. It is suitable for tennis fans, sports betting platforms, and media outlets looking to provide up-to-date information on live matches. With this endpoint, users have access to the most accurate and up-to-date information on live matches, allowing them to stay informed about the current state of the game.
{
"matches": [
{
"Away Player": "Catini N / Compagnucci T",
"Current set": "1st set",
"First to Serve": 1,
"Home Player": "Ciavarella N / de Michele F",
"ID": "13227469",
"Initial Away Odd": 1.53,
"Initial Home Odd": 2.38,
"Live Away Odd": 1.25,
"Live Home Odd": 3.75,
"Player 1 Score": "0",
"Player 2 Score": "30",
"Round": "Final",
"Set1 Player 1": 5,
"Set1 Player 2": 6,
"Set2 Player 1": "None",
"Set2 Player 2": "None",
"Set3 Player 1": "None",
"Set3 Player 2": "None",
"Set4 Player 1": "None",
"Set4 Player 2": "None",
"Set5 Player 1": "None",
"Set5 Player 2": "None",
"Sets Player 1": 0,
"Sets Player 2": 0,
"Surface": "Red clay",
"Tournament": "ITF Turkey F34, Men Doubles Antalya, Doubles Main, M-ITF-TUR-34A"
},
{
"Away Player": "Milojevi\u0107 N.",
"Current set": "1st set",
"First to Serve": 1,
"Home Player": "Fonio G.",
"ID": "13227699",
"Initial Away Odd": 2.2,
"Initial Home Odd": 1.62,
"Live Away Odd": 2.2,
"Live Home Odd": 1.62,
"Player 1 Score": "15",
"Player 2 Score": "15",
"Round": "Semifinals",
"Set1 Player 1": 5,
"Set1 Player 2": 5,
"Set2 Player 1": "None",
"Set2 Player 2": "None",
"Set3 Player 1": "None",
"Set3 Player 2": "None",
"Set4 Player 1": "None",
"Set4 Player 2": "None",
"Set5 Player 1": "None",
"Set5 Player 2": "None",
"Sets Player 1": 0,
"Sets Player 2": 0,
"Surface": "Hardcourt outdoor",
"Tournament": "ITF Qatar F3, Men Singles Qatar F3, Singles"
},
{
"Away Player": "Gea A.",
"Current set": "2nd set",
"First to Serve": 2,
"Home Player": "Peniston R.",
"ID": "13227482",
"Initial Away Odd": 2.25,
"Initial Home Odd": 1.57,
"Live Away Odd": 1.33,
"Live Home Odd": 3.25,
"Player 1 Score": "0",
"Player 2 Score": "0",
"Round": "Semifinals",
"Set1 Player 1": 4,
"Set1 Player 2": 6,
"Set2 Player 1": 0,
"Set2 Player 2": 0,
"Set3 Player 1": "None",
"Set3 Player 2": "None",
"Set4 Player 1": "None",
"Set4 Player 2": "None",
"Set5 Player 1": "None",
"Set5 Player 2": "None",
"Sets Player 1": 0,
"Sets Player 2": 1,
"Surface": "Hardcourt outdoor",
"Tournament": "ITF Qatar F3, Men Singles Qatar F3, Singles"
},
{
"Away Player": "Pereira T.",
"Current set": "1st set",
"First to Serve": 1,
"Home Player": "Strombachs R.",
"ID": "13228068",
"Initial Away Odd": 3.4,
"Initial Home Odd": 1.3,
"Live Away Odd": 3.25,
"Live Home Odd": 1.33,
"Player 1 Score": "40",
"Player 2 Score": "40",
"Round": "Semifinals",
"Set1 Player 1": 0,
"Set1 Player 2": 0,
"Set2 Player 1": "None",
"Set2 Player 2": "None",
"Set3 Player 1": "None",
"Set3 Player 2": "None",
"Set4 Player 1": "None",
"Set4 Player 2": "None",
"Set5 Player 1": "None",
"Set5 Player 2": "None",
"Sets Player 1": 0,
"Sets Player 2": 0,
"Surface": "Hardcourt outdoor",
"Tournament": "ITF Spain F38, Men Singles Spain F38, Singles"
},
{
"Away Player": "Panshina V / Zelinskaya D",
"Current set": "1st set",
"First to Serve": 1,
"Home Player": "Kubka M / Kuzmova K",
"ID": "13227241",
"Initial Away Odd": 4.5,
"Initial Home Odd": 1.17,
"Live Away Odd": 6.5,
"Live Home Odd": 1.1,
"Player 1 Score": "15",
"Player 2 Score": "30",
"Round": "Final",
"Set1 Player 1": 2,
"Set1 Player 2": 0,
"Set2 Player 1": "None",
"Set2 Player 2": "None",
"Set3 Player 1": "None",
"Set3 Player 2": "None",
"Set4 Player 1": "None",
"Set4 Player 2": "None",
"Set5 Player 1": "None",
"Set5 Player 2": "None",
"Sets Player 1": 0,
"Sets Player 2": 0,
"Surface": "Hardcourt outdoor",
"Tournament": "Cairo, Doubles Sharm ElSheikh, Doubles Main, W-ITF-EGY-24A"
}
]
}
curl --location --request GET 'https://zylalabs.com/api/961/live+tennis+api/786/fetch+live+tennis+matches' --header 'Authorization: Bearer YOUR_API_KEY'
The "Fetch Tennis Match Statistics" endpoint allows users to retrieve real-time statistics for ongoing tennis matches. The endpoint returns a variety of information about the match such as match score, current set, point-by-point updates, and player statistics such as aces, double faults, and unforced errors. This information can be used to create live match updates for tennis fans, sports betting platforms, and media outlets. With this endpoint, users have access to the most up-to-date information on live matches, allowing them to stay informed about the current state of the game. The endpoint also includes detailed information on each player such as their name, country, and ranking. This information can be used to provide an in-depth analysis of the performance of individual players and make predictions on the outcome of the match.
Required Parameter: match_id
This endpoint returns statistics for a specific match, identified by its match ID. The match can be either ongoing or completed. The match ID can be obtained through the "Fetch Live Tennis Matches" Endpoint. For example 10994419
{
"Match Id": "13022319",
"statistics": [
{
"Match ID": "13022319",
"P1 Aces": "0",
"P1 Break points converted": "2",
"P1 Break points saved": "1/5 (20%)",
"P1 Double faults": "2",
"P1 First serve": "25/39 (64%)",
"P1 First serve points": "14/25 (56%)",
"P1 First serve return points": "10/27 (37%)",
"P1 Max games in a row": "2",
"P1 Max points in a row": "4",
"P1 Receiver points won": "22",
"P1 Return games played": "6",
"P1 Second serve": "12/14 (86%)",
"P1 Second serve points": "4/14 (29%)",
"P1 Second serve return points": "14/26 (53%)",
"P1 Service games played": "7",
"P1 Service games won": "3",
"P1 Service points won": "18",
"P1 Tiebreaks": "0",
"P1 Total": "40",
"P1 Total won": "5",
"P1 name": "Arango E.",
"P2 Aces": "1",
"P2 Break points converted": "4",
"P2 Break points saved": "5/7 (71%)",
"P2 Double faults": "3",
"P2 First serve": "27/53 (51%)",
"P2 First serve points": "17/27 (63%)",
"P2 First serve return points": "11/25 (44%)",
"P2 Max games in a row": "5",
"P2 Max points in a row": "6",
"P2 Receiver points won": "21",
"P2 Return games played": "7",
"P2 Second serve": "23/26 (88%)",
"P2 Second serve points": "12/26 (46%)",
"P2 Second serve return points": "10/14 (71%)",
"P2 Service games played": "6",
"P2 Service games won": "4",
"P2 Service points won": "29",
"P2 Tiebreaks": "0",
"P2 Total": "50",
"P2 Total won": "8",
"P2 name": "Udvardy P."
}
]
}
curl --location --request GET 'https://zylalabs.com/api/961/live+tennis+api/787/fetch+tennis+match+statistics&match_id=Required' --header 'Authorization: Bearer YOUR_API_KEY'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
Each endpoint returns JSON data. The "Fetch Live Tennis Matches" endpoint provides real-time match details, including player names, scores, and betting odds. The "Fetch Tennis Match Statistics" endpoint offers detailed statistics like aces and double faults. The "Fetch Historical Matches" and "Fetch Historical Match Details" endpoints return past match data, including scores and player performance metrics.
Key fields include "Away Player," "Home Player," "Current set," "Player Score," "Match ID," and "Tournament" for live matches. For statistics, fields like "P1 Aces," "P2 Double faults," and "First serve points" are crucial. Historical endpoints include "match ID," "status," and "date" for match details.
The response data is structured in JSON format, with nested objects for matches and statistics. For example, the "Fetch Live Tennis Matches" endpoint returns an array of match objects, each containing player details, scores, and odds. The "Fetch Tennis Match Statistics" endpoint organizes data by player, detailing their performance metrics.
The "Fetch Tennis Match Statistics" and "Fetch Historical Match Details" endpoints require a "match_id" parameter to specify which match's data to retrieve. The "Fetch Historical Matches" endpoint requires a "date" parameter in the format YYYY-MM-DD to filter matches by date.
The "Fetch Live Tennis Matches" endpoint provides ongoing match scores, player names, and betting odds. The "Fetch Tennis Match Statistics" endpoint offers detailed player performance metrics. The historical endpoints provide past match scores, statistics, and tournament details, allowing for comprehensive analysis.
Data accuracy is maintained through real-time updates from official match sources. The API aggregates data from reliable sports data providers, ensuring that the information is current and precise. Regular quality checks and validation processes are implemented to uphold data integrity.
Typical use cases include integrating live match updates into sports news websites, powering live scoring features for streaming platforms, and supporting sports betting applications. Additionally, developers can use historical data for analytics, player performance tracking, and fantasy league applications.
Users can parse the JSON response to extract relevant information for display or analysis. For instance, they can use match scores and statistics to create real-time dashboards or visualizations. Understanding the structure of the response allows for efficient data handling and integration into various applications.
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