Romanians are going to witness an intense battle when two-time Major winner Garbine Muguruza challenges former US Open champion, Sloane Stephens, in a Round of 64 match at the Italian Open 2020. The encounter has all the ingredients present in it to make it an epic clash.
Garbine Muguruza vs Sloane Stephens: Preview
Talking about the performance in the lead up of the tournament, ninth-seed Garbine Muguruza has looked all but rusty. The 26-year old Spaniard lost in the second round itself at the US Open to the returning Tsvetana Pironkova 3-6,5-7. The long break due to the pandemic has certainly taken a toll on Muguruza’s form as when she reached the final in Melbourne earlier this year, it was believed that finally the Spaniard has found her mojo back and some even touted to be Muguruza’s year.
On the other hand, Sloane Stephens was looking in good touch at the Flushing Meadows until she ran into her compatriot and icon of the sport Serena Williams in the third round. The 27-year old pushed Serena to the limits before eventually coming short 6-2, 2-6, 2-6 in a three-set thriller. The World No.39 is slowly but surely finding her groove.
Garbine Muguruza vs Sloane Stephens: Head-to-Head
Prior to their meeting in Rome, the two women have played against each other three times. Sloane Stephens leads the head-to-head record 2-1. Their last meeting came in 2019 at the French Open, when Stephens swatted aside the challenge of Muguruza in straight sets 6-4, 6-3 in a fourth round encounter.
Garbine Muguruza vs Sloane Stephens: Prediction
Despite issues with the form, Muguruza is the former Roland Garros champion and is known to up her ante on the red soil. However, she will have to work hard against Stephens to hope for a good run in Rome. Muguruza should be vary of the fact that the American outclassed her on clay court itself the last time they met. This should lead up to a spicy encounter between two talented athletes.
Match Prediction: Garbine Muguruza defeats Sloane Stephens in a hard-fought match that may very well goes to the distance.