该API是一个RESTful API,以开发者友好的格式公开官方ATP巡回赛统计数据。它涵盖了球员档案、比赛统计、排名、胜负记录和逐个对比等数据集。每个数据集通过支持查询参数的专用端点提供。该API使开发者、分析师和体育爱好者能够构建网球应用程序、可视化和预测模型,而无需抓取ATP网站。
{
"ATP_Serve_Leaders": {
"players": [
{
"player_name": "Giovanni Mpetshi Perricard"
},
{
"player_name": "Alexander Zverev"
},
{
"player_name": "Matteo Berrettini"
},
{
"player_name": "Taylor Fritz"
},
{
"player_name": "Jannik Sinner"
},
{
"player_name": "Ben Shelton"
},
{
"player_name": "Hubert Hurkacz"
},
{
"player_name": "Brandon Nakashima"
},
{
"player_name": "Felix Auger-Aliassime"
},
{
"player_name": "Tallon Griekspoor"
},
{
"player_name": "Carlos Alcaraz"
},
{
"player_name": "Quentin Halys"
},
{
"player_name": "Jack Draper"
},
{
"player_name": "Zhizhen Zhang"
},
{
"player_name": "Ugo Humbert"
},
{
"player_name": "Stefanos Tsitsipas"
},
{
"player_name": "Gabriel Diallo"
},
{
"player_name": "Sebastian Korda"
},
{
"player_name": "Lorenzo Sonego"
},
{
"player_name": "Jakub Mensik"
},
{
"player_name": "Nicolas Jarry"
},
{
"player_name": "Jiri Lehecka"
},
{
"player_name": "Andrey Rublev"
},
{
"player_name": "Casper Ruud"
},
{
"player_name": "Holger Rune"
},
{
"player_name": "Arthur Rinderknech"
},
{
"player_name": "Karen Khachanov"
},
{
"player_name": "Alexei Popyrin"
},
{
"player_name": "Grigor Dimitrov"
},
{
"player_name": "Gael Monfils"
},
{
"player_name": "Frances Tiafoe"
},
{
"player_name": "Lorenzo Musetti"
},
{
"player_name": "Arthur Fils"
},
{
"player_name": "Alexander Bublik"
},
{
"player_name": "Jordan Thompson"
},
{
"player_name": "Alex Michelsen"
},
{
"player_name": "Juncheng Shang"
},
{
"player_name": "Aleksandar Vukic"
},
{
"player_name": "Aleksandar Kovacevic"
},
{
"player_name": "Tommy Paul"
},
{
"player_name": "Mattia Bellucci"
},
{
"player_name": "Roman Safiullin"
},
{
"player_name": "Laslo Djere"
},
{
"player_name": "Danil Medvedev"
},
{
"player_name": "Tomas Martin Etcheverry"
},
{
"player_name": "Denis Shapovalov"
},
{
"player_name": "Nuno Borges"
},
{
"player_name": "Miomir Kecmanovic"
}
]
}
}
curl --location --request POST 'https://zylalabs.com/api/9099/global+tennis+records+analytics+api/16474/get+atp+ranking' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
{
"player_stats": {
"player_name": "Alexander Zverev",
"rank": 3,
"aces_per_match": 8.5,
"first_serve_percentage": 69.8,
"first_serve_points_won_percentage": 76.6,
"second_serve_points_won_percentage": 55,
"service_games_won_percentage": 89,
"double_faults_per_match": 2.3
}
}
curl --location --request POST 'https://zylalabs.com/api/9099/global+tennis+records+analytics+api/16479/get+stats+by+player' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"player":"Required"}'
{
"ATP_Return_Leaders": [
{
"player_name": "Alex de Minaur"
},
{
"player_name": "Carlos Alcaraz"
},
{
"player_name": "Jannik Sinner"
},
{
"player_name": "Tommy Paul"
},
{
"player_name": "Francisco Cerundolo"
},
{
"player_name": "Alejandro Davidovich Fokina"
},
{
"player_name": "David Goffin"
},
{
"player_name": "Sebastian Baez"
},
{
"player_name": "Jack Draper"
},
{
"player_name": "Mariano Navone"
},
{
"player_name": "Lorenzo Musetti"
},
{
"player_name": "Alexander Zverev"
},
{
"player_name": "Novak Djokovic"
},
{
"player_name": "Tomas Machac"
},
{
"player_name": "Laslo Djere"
},
{
"player_name": "Cameron Norrie"
},
{
"player_name": "Karen Khachanov"
},
{
"player_name": "Denis Shapovalov"
},
{
"player_name": "Hugo Gaston"
},
{
"player_name": "Jaume Munar"
},
{
"player_name": "Matteo Arnaldi"
},
{
"player_name": "Nuno Borges"
},
{
"player_name": "Grigor Dimitrov"
},
{
"player_name": "Roberto Carballes Baena"
},
{
"player_name": "Alexander Shevchenko"
},
{
"player_name": "Alexandre Muller"
},
{
"player_name": "Holger Rune"
},
{
"player_name": "Arthur Fils"
},
{
"player_name": "Pedro Martinez"
},
{
"player_name": "Roberto Bautista Agut"
},
{
"player_name": "Alex Michelsen"
},
{
"player_name": "Corentin Moutet"
},
{
"player_name": "Flavio Cobolli"
},
{
"player_name": "Juncheng Shang"
},
{
"player_name": "Rinky Hijikata"
},
{
"player_name": "Taylor Fritz"
},
{
"player_name": "Andrey Rublev"
},
{
"player_name": "Marcos Giron"
},
{
"player_name": "Jakub Mensik"
},
{
"player_name": "Learner Tien"
},
{
"player_name": "Frances Tiafoe"
},
{
"player_name": "Jiri Lehecka"
},
{
"player_name": "Ugo Humbert"
},
{
"player_name": "Casper Ruud"
},
{
"player_name": "Sebastian Korda"
},
{
"player_name": "Daniel Altmaier"
},
{
"player_name": "Roman Safiullin"
},
{
"player_name": "Adrian Mannarino"
},
{
"player_name": "Zizou Bergs"
}
]
}
curl --location --request POST 'https://zylalabs.com/api/9099/global+tennis+records+analytics+api/16484/get+rank+by+name' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"name":"Required"}'
| 标头 | 描述 |
|---|---|
授权
|
[必需] 应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。 |
无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。
全球网球记录分析API提供访问各种数据类型的能力,包括球员档案比赛统计球员排名胜负记录和交锋比较
API以RESTful格式提供数据,通常为JSON,易于解析和集成到应用程序中。每个数据集通过专用端点提供,支持用于过滤的查询参数
开发者可以使用全球网球记录分析API来创建与网球相关的应用程序,例如表现分析工具、球员比较功能、排名可视化和比赛结果的预测模型
全球网球记录分析API的核心价值主张是以开发者友好的格式提供官方ATP巡回赛统计数据,使用户能够在无需网络抓取的情况下访问丰富的数据,从而促进创新网球应用的开发
API包括玩家名称 比分 比赛详情 和 排名积分等字段 输出格式主要是JSON 这允许结构化数据检索 便于集成到各种应用程序中
此端点返回的列表包含在ATP发球领先者类别中排名的网球运动员。每个条目都包括运动员的姓名,以便用户识别发球统计中的优秀表现者
响应包括球员姓名 排名 每场比赛发球Ace球数 首发成功率和发球局胜率等字段 提供了球员发球表现的详细见解
响应结构为一个包含玩家数组的JSON对象,每个玩家由其姓名表示。这种格式便于解析和集成到应用程序中以进行进一步分析
用户可以指定球员的名字以获取特定统计数据 这种自定义允许针对性的数据信息请求 专注于个别球员的表现指标
该端点提供了一份排名在ATP承压精英类别中的球员名单,突出了那些在比赛高压情况下表现出色的球员,这对于表现分析至关重要
用户可以分析单个球员的统计数据,例如发球评分和挽救破发点的百分比,以评估表现趋势、比较球员或开发比赛结果的预测模型
该API直接从官方ATP统计数据获取其数据,确保高准确性。定期更新和验证过程被实施以维护数据的完整性和可靠性
典型的用例包括开发分析仪表板 创建球员比较工具 生成比赛统计数据的可视化 并基于球员表现数据构建比赛结果的预测模型
服务级别:
100%
响应时间:
888ms
服务级别:
100%
响应时间:
592ms
服务级别:
100%
响应时间:
1,138ms
服务级别:
100%
响应时间:
656ms
服务级别:
100%
响应时间:
16ms
服务级别:
100%
响应时间:
20ms
服务级别:
100%
响应时间:
10,028ms
服务级别:
100%
响应时间:
15,406ms
服务级别:
100%
响应时间:
16ms
服务级别:
100%
响应时间:
464ms
服务级别:
99%
响应时间:
1,873ms
服务级别:
100%
响应时间:
1,535ms
服务级别:
100%
响应时间:
1,682ms
服务级别:
100%
响应时间:
149ms
服务级别:
100%
响应时间:
1,733ms
服务级别:
100%
响应时间:
5,760ms
服务级别:
100%
响应时间:
998ms
服务级别:
100%
响应时间:
206ms
服务级别:
100%
响应时间:
54ms
服务级别:
93%
响应时间:
4,280ms