Best Bets 
High Value 
Underdog 
Dimers.com's predictive model provides an unbiased view of each player's winning chances after simulating the outcome of the match 10,000 times.
After extensive simulations, our model gives Gael Monfils a win probability of 38%, while Andrey Rublev has a win probability of 62%.
According to our analysis, Andrey Rublev is more likely to beat Gael Monfils at the ATP Madrid, Spain Men's Singles 2025 on Friday.
Our Gael Monfils vs. Andrey Rublev predictions, based on sophisticated simulations and current data, guide you in making informed decisions. Remember to bet responsibly and within your financial limits.
For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.
When you click or tap on a link on Dimers that goes to a third-party website that we have a commercial relationship with (such as a sportsbook), we may receive a referral fee.
Explore our expert tennis predictions and the best tennis bets today for more insights and betting opportunities. Our in-depth analysis includes tennis news and tennis world rankings.
22,000+ 
70,000+ 
10,000,000+ 
Must be in Ohio. 21+. Gambling Problem? Call 1‑800‑GAMBLER.
Disclaimer: All of the information on this site is for entertainment purposes only. We do NOT accept bets of any kind. The information we provide is accurate and trustworthy to help you make better decisions. When you click or tap on a link on Dimers that leads to a third-party website that we have a commercial arrangement with (such as an online sportsbook), we may earn referral fees. Dimers does not endorse or encourage illegal or irresponsible gambling in any form. Before placing any wagers with any betting site, you must check the online gambling regulations in your jurisdiction or state, as they do vary. If you or someone you know has a gambling problem, crisis counseling and referral services can be accessed by calling 1-800-GAMBLER.
Copyright © 2025 Dimers. All Rights Reserved. Proudly part of Cipher Sports Technology Group, 902A Broadway, Floors 6 & 7, New York, NY 10010, United States of America.
