Summary

The website presents a strategy for achieving high returns on investment (ROI) in tennis betting using machine learning algorithms provided by the web service sports-ai.dev.

Abstract

The article outlines a method for leveraging advanced machine learning algorithms to make profitable betting decisions on tennis matches. The author, who operates sports-ai.dev, explains that by analyzing the probability of outcomes and comparing them to the odds offered by bookmakers, bettors can identify an "edge" to place more informed bets. The strategy involves placing bets only when the calculated edge is at least 3%, which can lead to a significant ROI. The article showcases the potential of this approach with an analysis of tennis matches from March 1st to April 12th, demonstrating that with a fixed stake of 100€, a profit of approximately 5,000€ was possible, resulting in a 7.77% ROI. Furthermore, the article suggests that setting a higher threshold for the edge can increase the ROI, with a 48% ROI achievable at a 14% edge threshold, albeit with fewer betting opportunities. The analysis also identifies 1xBet as the most favorable bookmaker for this betting strategy, offering the highest number of betting opportunities.

Opinions

The author believes that the headline claim of up to 48% ROI per bet is not only catchy but also substantiated by their service's performance.
The article posits that sports-ai.dev's machine learning algorithms provide a competitive advantage in predicting tennis match outcomes.
It is implied that the strategy of seeking a minimum edge of 3% is effective for consistent profits in sports betting.
The author suggests that there is a direct correlation between the minimum edge requirement and the ROI achieved, indicating that a higher edge threshold leads to a higher ROI.
The author does not advise comparing the ROI per bookmaker due to the variability in the number of betting opportunities, but notes that 1xBet provided the most opportunities within the analyzed strategy.
The article concludes by encouraging readers to explore the potential of sports-ai.dev's predictions and bet tips for various sports and markets, hinting at future blog posts that will provide further analysis.

How to get up to 48% ROI per bet with betting on tennis matches

Learn how to profit from the most accurate sports predictions based on state-of-the-art machine learning algorithms

I know, the headline is pretty catchy, right? But it’s not a fake, as I will later prove to you. I recently launched a web service called sports-ai.dev, which offers sports predictions for football/soccer, basketball, tennis, handball, hockey, volleyball and handball based on machine learning algorithms. If you’re interested in the technical aspects of my web service, please feel free to check out this article I wrote.

Profit accumulated from betting on tennis matches

In the following analysis we are taking a look at the tennis markets from March 1st until April 12th.

Here’s a little example of how you would take a betting decision. Let’s take the match Berretini vs. Harris from the Indian Wells played on the 15th of March. Sports AIs algorithms predicted a probability of 24.33% Harris winning the match. If you transform the probability to an odds format (1/0.2433) you get fair odds of 4.11. 1xBet for example offered a price of 4.36 for a win of Harris, which leads to an edge of approximately 6%. In such a case, it is advisable to bet on this outcome at that price of 4.36 offered by 1xBet.

If you apply this strategy to the period under consideration, then following results would have been achieved.

As you can see in the chart above, the results are very satisfying, even though we struggled with being profitable for the first 200 bets. With a fixed stake of 100€ per bet, 628 bets could have been placed and a profit of approximately 5.000€ could have been accumulated. In the end, with this strategy, a ROI of 7,77% could have been achieved.

Best betting strategy to achieve the highest ROI per bet

The results above show the results with the following strategy: Bets were placed if an edge of at least 3% was found. The higher the edge needs to be in order to place a bet, the higher the ROI will probably be. That is what we saw in our profit report regarding the football/soccer predictions and the same trend is identifiable here too. You can see that there is a positive correlation between the minimum edge of a bet (called threshold on the right side) and the ROI. The downside though, is that the amount of matches meeting the criteria get lower the higher the threshold is set. With a threshold of 14% we achieved a ROI of 48%%!

Which bookmakers to use with Sports AIs tennis predictions?

The following bookmakers were included in the analysis: Bet365, William Hill, Marathon Bet, Unibet, Bet at home, GGBet, bwin, PariBet and 1xBet.The chart below shows how many betting opportunities were found for each bookmaker. The results refer to the strategy where a minimum edge of 3% was used.

The results show that 1xBet is the best bookmaker to use with our strategy when it comes to the amount of betting opportunities. With 191 bets placed at 1xBet, this bookie takes the lead at this statistic followed by MarathonBet with 114 bets. At the end of this statistic we will find bet-at-home with only 5 betting opportunities.

At this point, there is no use in comparing the ROI per bookmaker since the amount of bets varies a lot between bookies. That’s something that can be analyzed in the future.

Outlook and conclusion

Hopefully this blog post will help you to better understand the potential of Sports AIs bet tips and sports predictions. In future posts other markets and also other sports will be analyzed in order to give you a broader picture of the potential of Sports AIs predictions and bet tips. Feel free to take a look at other topics from our blog like the post on value betting or the profit report on the football/soccer predictions.