Tennis Stats & Odds Datasets

DatasetSamplePriceAvailable Seasonshf:att:pa_classhf:att:pa_statshf:att:pa_in-season-plan
Tennis Historical ATP Point-by-Point Stats Multiple Seasons

Tennis Point by Point ATP Dataset Sample

$56$130
historicalplaybyplay-stats
Tennis Historical ATP Point-by-Point Stats Single Season

Tennis Point by Point ATP Dataset Sample

$30
historicalplaybyplay-stats
Tennis Historical ATP Stats Multiple Seasons

Tennis ATP Dataset Sample

$46$107
historicalplayer-stats
Tennis Historical ATP Stats Single Season

Tennis ATP Dataset Sample

$25
historicalplayer-stats
Tennis Historical WTA Point-by-Point Stats Multiple Seasons

Tennis Point by Point WTA Dataset Sample

$56$130
historicalplaybyplay-stats
Tennis Historical WTA Point-by-Point Stats Single Season

Tennis Point by Point WTA Dataset Sample

$30
historicalplaybyplay-stats
Tennis Historical WTA Stats Multiple Seasons

Tennis WTA Dataset Sample

$46$107
historicalplayer-stats
Tennis Historical WTA Stats Single Season

Tennis WTA Dataset Sample

$25
historicalplayer-stats
Filter tennis datasets and in-season plans by class, category, or in-season plan. View samples to see the content and format of the dataset.

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Tennis datasets

There is a plethora of information about tennis matches and players, but not all of it is reliable or up-to-date. It’s so crucial to use high-quality tennis data when doing research or placing wagers on tennis matches. Having access to accurate and reliable tennis datasets can help you make better decisions. As soon as you start the tennis dataset, is loaded into a data analysis tool, such as Excel, R, or Google Sheets. Besides the analysis, creating visualizations is also a good idea. To draw conclusions and test hypotheses from the data, statistical methods like regression analysis and hypothesis testing can be useful.

BigDataBall does the heavy lifting and organized all the noisy ATP & WTA tennis data in a spreadsheet by collecting information from many sources including tennis odds. 100% validated tennis datasets in Excel are trusted by ATP/WTA fans, bettors/fantasy players, data journalists, and academic researchers. With our ATP/WTA datasets, lots of data points are made available for you to explore. It’s already cleaned up and enriched with external datasets such as betting odds, and tournament information so that you can crunch the ATP and WTA data in no time.

For example, by analyzing data from previous matches, you can identify; the strengths and weaknesses of the players, their head-to-head record, favorable weather, and the surface they are playing on. BigDataBall’s tennis data allows you to spot patterns and trends in players’ tennis performances. There may be certain conditions under which a certain player excels. You should take your time to analyze the following factors and patterns to have a better shot at picking the correct winner.

A tennis match’s result can be determined by a number of different factors and circumstances. These include;
1) Level of player skill and ability: Such as being left-handed or right-handed. Or, rather than aiming to neutralize the opponent’s strengths, they are concentrating on improving their own weaknesses and playing to those.

2) Level of physical fitness and endurance: Tennis players must make good use of their fitness and endurance to outlast the other player, particularly in long matches.

3) Playing surface: Each surface influences the game differently.
Clay courts are slow and high-bouncing might be difficult for some players.
Grass courts are the fastest and lowest-bouncing surface. Wimbledon uses grass courts.
Hard courts are most common and built of synthetic materials which allow mid-paced matches in terms of speed and bounce.
Carpet courts are the least common and allow the highest bouncing of a tennis ball.

4) Weather also affects tennis matches. Consider it when preparing for matches!
Sunny and hot weather can make the court surface quicker and make the ball bounce higher. But this can influence players’ endurance and performance. Cloudy or rainy weather slows down the court and lowers the ball’s bounce. Cold or windy weather can make it harder for players to handle the ball and execute shots accurately, affecting the match.

5) Particular rules of the tournament: Such as the type of scoring system being used).

6) Mental states of the players: Maintaining mental toughness and concentration on the court, even falling behind in the game or being confronted with challenging circumstances.

7) Player strategy: They can allow an opponent to win a set deliberately. Or, they adjust the pace or spin of their strokes, or use drop shots and lobs to surprise the other player and throw them off their game are examples of cunning methods and tactics that can be used to throw the other player off their game. Focusing on attacking and putting pressure on the other player rather than just trying to defend and keep the ball in play as much as possible. Pursuing opportunities to attack and put pressure on the other player.