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These can be found in our tennis blogs section of the site. Many of the articles there are betting previews for the major tennis tournaments but some are more in depth strategy articles.
We have carried out some research in an attempt to find out the best bookmakers for tennis betting. The best advice is to look at the best odds for each individual tennis bet.
Then once all your tennis bets have been added, you can go to your betslip and see the odds from the top tennis bookmakers.
Click on the bookmaker with the best odds, or your alternative choice if applicable and the betslip will be completed for you at the bookie site! This makes the whole process of placing your tennis bets much easier.
If you had to choose one bookmaker to place all your tennis bets with then we would suggest from our research that the Betfair Betting exchange is more likely to provide better odds more of the time.
Search Customise Your Tips List. Best Tips Toggle Dropdown. Top Tennis Tipsters Swipe to see more of our top tipsters.
Check All Top Tennis Tipsters. Search filters Saved searches Sport. Minimum number of tips Any 5 10 15 Minimum odds value All 1.
Maximum odds value 2. Search Save and Search Reset. Tatjana Maria vs Vera Zvonareva Today Ekaterina Alexandrova vs Pauline Parmentier Today Anna Blinkova vs Margarita Gasparyan Today Ana Bogdan vs Evgeniya Rodina Today Stefanos Tsitsipas vs Andrey Rublev Today Novak Djokovic vs John Isner 12 Nov Kevin Anderson vs Dominic Thiem 11 Nov If you're looking to bet on tennis, you probably already have a good knowledge of the sport.
If you're a trader, you probably also know the trends in a tennis match. Still, the world of tennis is not just about Roger Federer or Rafael Nadal.
There are hundreds of players you can bet on and, especially for the lesser known player everyone needs a some help. Ideally, a tennis prediction system that works well we'll get back to what well means soon , would be the best.
But what makes a tennis betting system, a tennis prediction software or service good? A lot of things, but mainly: Obviously, the most important thing we look for in a betting system is that the system, or in this case, the tennis prediction system is profitable.
Other than that there are other factors too: Let's look at these. Profit can be achieved with good selection of matches and great tips.
One of the few advantages of a bettor against the bookmaker is that he can choose the matches he wants the play. As there are hundreds of tennis matches every day, and bookmakers cover the majority of them, it's a tough question asked: Ideally, a system or tipster provides a weight for each match: In a system where all matches are predicted like ours , the best way to express our certainty is the give a probability for each tennis tip.
This probability tell a lot of things and can be used in a lot of ways, but only you know the context, namely how give probability matches did in the past.
You'd need some kind of measurement. This measurement is called accuracy: As mentioned, we provide a probability for each tennis prediction.
This probability describes the likelihood of the betting tip to be successful. The higher the probability, the better the tennis tip.
Any good betting system should provide a probability for each tennis prediction because of a simple reason: With an example, when good and in-form players meet lesser opponents, it's easier to predict the outcome of the match compared to when two similar opponents meet.
So, with having predictions and probabilities, when we know the result, we can create a chart as visible on Accuracy which shows the average success rate of predictions within a small probability range.
When measuring profit, we can't avoid talking of the importance of odds. Ideally, we can predict high odds matches with high probability.
It sounds good, but it's not that easy. For high odds, probabilities are likely to be lower, for lower odds, probability is generally higher.
We call the case when odds and probability is both relatively high a value bet and measure how good the tips is with bet value.
Profit comes from good tips, but another essential part of the equation is the number of tips. This is usually a few of hundred matches per day.
We the number of matches and profit known, one can calculate the yield and ROI we don't go into the detailed calculation of these here.
No matter how good the tennis betting tips are, if they don't get to you, they don't help much. You can fine-tune the frequency of prediction notifications from instant notifications to once a day.
Also, you can set the parameters for minimum and maximum odds and probabilities you want to receive. To see how our system performs, you can take a look at backtest page.
In short, it shows how the current model would have performed over the past period. There are tons of parameters filters you can set, basically you can create your tennis betting strategy.
Not everyone is equal: No matter if you're a low risk person or want to take high risk, the Backtest will show you what could have been achieved in the past.
Although past performance is not an indicator of future results, this tool still helps you to define the way you can do tennis betting. In order to achieve the highest possible security, we are using large and trustworthy partners for login, payments and subscription.
We don't store your sensitive data, like your username and password are only stored at our partners Facebook, Google and Paypal and the whole authentication is handed by them.
Similarly, we teamed with Clickbank, who process payments with cards and Paypal and handle all payment and subscription related issues you can have.
We mentioned a lot of characteristics of good tennis predictions, but how are they created? At this point you're probably aware that we use Artificial Intelligence Machine Learning.
Indeed, we trained a model and provide tennis predictions with this model. This ensures the highest possible accuracy of each tennis prediction and it also allows us to cover almost all tennis matches.
The only tennis matches we don't cover are usually those where one of the players doesn't have enough history.
First, we pre-process a lot of around Based on predefined rules we transform the statistics from these matches into so called features which then later can be used by classification this is called Feature extraction.