

To see detailed h2h stats and predictions for Aryna Sabalenka vs Shelby Rogers, see our Stevegtennis head to head prediction here.
Even though she is likely to run into the same issues as with the Miami courts, Aryna Sabalenka does have to be considered one of the favourites for the tournament especially with withdrawal of last year’s champion Iga Swiatek. Shelby Rogers should not be too much of an issue in the opener with the Australian Open winner having a 3-0 record in this matchup, with one of those wins coming on the way to the aforementioned title.
Rogers can hit big and is a dangerous opponent on her day, having picked up some big career wins despite only briefly being a top 30 player last year. A three set win over Sloane Stephens was a nice way to start the tournament for the American, who went 3/3 on break points in the 6-4 3-6 6-2 win.
Sabalenka is now 17-2 on the year and remains the WTA Race leader despite losing in the final at Indian Wells. It was still a strong run for her on a surface that doesn’t particularly play to her strengths. The one issue of concern will definitely have to be her serve – which had been markedly improved this year for the most part. She hit 10 double faults in the opening set of her 7-6 6-4 loss to Elena Rybakina, numbers that may have been bad even last year for her.
Sabalenka showed what she can do against Rogers earlier in the year, dominating the matchup on that occasion. It is going to be all on her racket though with a relatively clean performance likely all that is needed for her to advance here. A sloppy match though and Rogers has shown she has the ability to take control against top opponents, but it won’t be through overpowering the No. 2. If Sabalenka’s service issues do return here though, anything could happen with the amount of free points she provides on a bad day.
Prediction – Aryna Sabalenka in straight sets
For additional head to head predictions of Aryna Sabalenka Shelby Rogers, you can see detailed H2H stats for Aryna Sabalenka vs Shelby Rogers.
To see all our predictions for upcoming matches, based on our machine learning model analysing results since 1960, see our tennis predictions page here.