Taylor Fritz and Jack Sock will face each other in the second round of the ATP tournament in Dallas, Texas.
Fritz is currently 8th in the ATP rankings which is his career-high. He has a solid start of the season with a 6-2 record.
At the Australian Open, the 25-year-old American was eliminated sooner than expected. He lost a five-setter against Alexei Popyrin in the second round – 6-7, 7-6, 6-4, 6-7 and 6-2. In the opening round of the first Grand Slam of the year, Fritz defeated Nikoloz Basilashvili 6-4, 6-2, 4-6 and 7-5.
This is the second time for Fritz to play at the tournament in Dallas. Last year, he made it to the quarterfinals where he lost to Marcos Giron.
He has won 4 ATP titles, 3 of which came in 2022. The biggest one is definitely his win in Indian Wells last year when he defeated Rafael Nadal in the final in straight sets.
Sock is ranked at no. 141 at the moment with his career-high being at no. 8. He missed the Australian Open tournament and is only 1-1 so far in the season.
The 30-year-old American started with a loss to world no. 467 Alex Michelsen at the challenger in Cleveland. In the opening round in Dallas, Sock defeated Ilya Ivashka, 7-6, 4-6 and 6-4.
Sock has won 4 ATP titles with the last one being in 2017.
Fritz and Sock know each other very well. They have played five times before and Fritz leads 3-2. The last time they faced each other was last year in Dallas with Fritz winning 6-1 and 6-4 in the round of 16.
Taylor Fritz is a huge favorite in this match. He had a great season last year winning three titles and it seems like the best of him is yet to come. He has emerged as the best US player at the moment and will have no problem going past Sock. Unlike Fritz, Sock is past his prime and he is only a shadow of the player who once won the Masters in Paris. Fritz is better in every aspect of the game and his confidence is sky-high which is not the case with Sock. Fritz will dominate this match and win in straight sets.
To see all our predictions for upcoming matches, based on our machine learning model analysing results since 1960, see our tennis predictions page here.