Professional Tennis API for developers, analytics teams, sports platforms, betting research, dashboards and prediction models.
The Tennis API provides structured tennis data across Grand Slam tournaments, Masters events, ATP, WTA, Challenger and ITF Futures competitions, including historical records since 1930, detailed match statistics, event data, player profiles, head-to-head records, odds and prediction data.
RapidAPI listing:
https://rapidapi.com/jjrm365-kIFr3Nx_odV/api/tennis-api-atp-wta-itf
Official website:
GitLab project:
https://gitlab.com/jimbojames365/tennis-api
- Grand Slam tournaments
- Masters events
- ATP Tour data
- WTA Tour data
- ATP Challenger data
- ITF Futures data
- Historical tennis data since 1930
- Match statistics
- Event and tournament data
- Player profiles
- Head-to-head records
- Odds data
- Prediction data
- Tennis applications
- Sports data dashboards
- Betting analytics platforms
- Prediction models
- Tennis research tools
- Editorial and media platforms
- Tournament pages
- Player comparison tools
- Historical tennis analysis
The API includes long-term tennis records useful for:
- player comparisons
- tournament research
- trend analysis
- ranking analysis
- forecasting models
- historical statistics
{
"player_1": "Carlos Alcaraz",
"player_2": "Jannik Sinner",
"h2h_record": {
"matches_played": 12,
"alcaraz_wins": 6,
"sinner_wins": 6
},
"surface_breakdown": {
"hard": "4-3",
"clay": "2-2",
"grass": "0-1"
}
}{
"event": "ATP Finals",
"match": "Carlos Alcaraz vs Jannik Sinner",
"odds": {
"player_1": 2.15,
"player_2": 1.74
},
"market": "Match Winner"
}{
"match": "Carlos Alcaraz vs Jannik Sinner",
"prediction": {
"favorite": "Jannik Sinner",
"win_probability": 58.4
}
}{
"player": "Carlos Alcaraz",
"season": 2025,
"stats": {
"wins": 61,
"losses": 11,
"aces_per_match": 5.8,
"break_points_saved": "67%",
"service_games_won": "84%"
}
}{
"tournament": "Wimbledon",
"year": 2025,
"surface": "Grass",
"category": "Grand Slam",
"draw_size": 128
}{
"player": "Roger Federer",
"career": {
"titles": 103,
"career_start": 1998,
"retirement": 2022
}
}{
"event": "Roland Garros",
"round": "Quarterfinal",
"player_1": "Novak Djokovic",
"player_2": "Carlos Alcaraz",
"surface": "Clay",
"score": "6-3 5-7 6-1 6-1",
"duration_minutes": 188
}{
"event": "ATP Rome Masters",
"country": "Italy",
"surface": "Clay",
"tour": "ATP",
"category": "Masters 1000",
"draw_size": 96
}- Grand Slam tournaments
- Masters events
- ATP Tour data
- WTA Tour data
- ATP Challenger data
- ITF Futures data
- Historical tennis data since 1930
- Match statistics
- Event and tournament data
- Player profiles
- Head-to-head records
- Odds data
- Prediction data
The Tennis API is designed for:
- sports betting analytics
- tennis prediction models
- live match dashboards
- editorial and media platforms
- tennis research
- player comparison systems
- historical tennis analysis
- betting market research
- AI and machine learning models
- tournament applications
A production website powered by tennis statistics, predictions and analytical data:
https://matchstat.com/predictions-tips/the-best-tennis-data-api-for-stats/
Compare players using detailed H2H records, recent meetings, surface-specific results and matchup history.
Access structured match statistics for performance analysis, previews, dashboards and betting research.
Use odds data and prediction information for sports betting analysis and forecasting workflows.
Structured data for Grand Slam events, Masters tournaments, ATP, WTA, Challenger and ITF Futures competitions.
Historical data since 1930 for long-term trends, rankings research, player development analysis and statistical modelling.
Official website:
RapidAPI listing:
https://rapidapi.com/jjrm365-kIFr3Nx_odV/api/tennis-api-atp-wta-itf
Example consumer production website:
https://matchstat.com/predictions-tips/the-best-tennis-data-api-for-stats/
GitLab project: