Examining several elements, including player form, head-to-head records, playing surface, and recent performance patterns, the SteveGTennis.com Machine Learning Algorithm has assessed the forthcoming match between Alex De Minaur and Mariano Navone. The forecast for this match is shown below using a model refined using data from more than 400,000 historical ATP and WTA events.
The study considers Minaur and Navone’s performance on the surface (I.hard) of the match. Compared to Navone, Minaur boasts a better head-to-head record and better summary statistics. The match statistics as of October 26, 2024 are:
Event: Paris Masters Rolex Tournament
I.hard; Surface; Time: 10:00:00 AM
The Stevegtennis.com Artificial Intelligence Machine Learning System projects Navone with an 11.36% probability and Minaur with an 88.64% chance of victory. Minaur is expected to win considering the following elements:
Navone has only advanced to the first and second rounds, while Minaur has reached the semifinal, quarterfinal, and quarterfinal in his past three events.
Minaur has been on a winning streak, securing 8 victories in his past 10 games, whereas Navone has just 3 victories in ten.
Minaur saves 58% of breakpoints, which are crucial moments in a match where the server is at risk of losing the game, and turns 45% of breakpoint chances; Navone saves 59% and turns 43% of such opportunities.
Minaur won more matches after his opening set (293 out of 335) than Navone (66 out of 120) and has a superior winning record in deciding sets, which are the sets that determine the winner of the match when the score is tied at two sets each (99 out of 167).
Alex De Minaur will likely defeat Mariano Navone even with handicap -4.5 games based on the SteveGTennis.com Machine Learning Algorithm study.