Read more Join today View market. Expect a long match in the side markets Keeping the faith in his pre-tournament recommendation of Del Potro at [ View market Jack Houghton 08 September Leave a comment. Williams and Osaka priced accurately by the market It's the US Open ladies singles final, and returning to give his thoughts on whether Naomi Osaka can do anything to stop Serena Williams, is our tennis colum View market Dan Weston 08 September Leave a comment.
View market Dan Weston 07 September Leave a comment. No need to sweat if you backed favourite Novak Ralph Ellis had his money on Wimbledon champ Novak Djokovic at the start of the US Open and likes what he saw in last night's quarter-final victory View market Ralph Ellis 06 September Leave a comment. Sevastova capable of pushing Serena It's women's semi-finals day at the US Open tonight, and back to preview the match-ups, is our tennis columnist, Dan Weston View market Dan Weston 06 September Leave a comment.
Millman can again be supported to cover a big handicap line After the drama of Tuesday's first two quarter-finals at the US Open, it's the second two taking place this evening. View market Dan Weston 05 September Leave a comment.
Game handicap the best option to support Tsurenko We have two remaining women's singles quarter-finals on day ten of the US Open. Back Pliskova to shock Serena On day nine of the US Open, it's the start of the women's singles quarter finals, and returning with his thoughts on tonight's two clashes, is our tennis col View market Dan Weston 04 September Leave a comment. Vondrousova again under-rated by the market We have four further last 16 ties on day eight of the women's singles event at the US Open, and back to take a look at the schedule is our tennis columnist, View market Dan Weston 03 September Leave a comment.
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. In the next step we train a model using these features. The model created this we is ready to consume fixtures, so we get data for upcoming matches and ask the model about the most possible outcome. Odds don't play any role during these phases, they're only used for informational purposes, and added later along with dates.
There are numerous ways to use it. Some use it as a sole source, others start from TTT tennis predictions and use their own knowledge to pick selection, or the opposite, they use TTT to double-check their already existing tips. Either way backtest is a very useful tool to see the profitability of the service.