Home Betting Blog Lorenzo Musetti vs Taylor Fritz, Preview and Predictions, ATP Monte-Carlo

Lorenzo Musetti vs Taylor Fritz, Preview and Predictions, ATP Monte-Carlo

by Stefan Jonsson
Lorenzo Musetti

Italian Lorenzo Musetti is taking on world no 13 Taylor Fritz on the first day of the 2024 Monte Carlo Masters in an interesting match.

American Taylor Fritz had a decent start to the season, went out against Novak in the AO quarterfinals and got the trophy at the Delray Beach Open. After that his results has been a bit mixed and he had a quick exit from the Miami Open.

Musetti, likewise, had had a rocky season and after some good performances in Miami, many thought he was back in form but a straight-set exit to Nuno Borges in the Estoril ATP took him right back down.

The Italian is the slightly better player on clay, however, Fritz has improved his record on this surface drastically since the beginning of his career.

BetOnline offers good odds on the Monte Carlo ATP

Stats are with Fritz

In their head-to-head, Fritz is 2-0 up and he’s still to lose a set against the Italian. They still have to meet on clay though, and the question is how much of an importance this will have in their third meeting.

Fritz serve will be important in these slow conditions and he will surely take advantage of some of the sloppy balls and unforced errors we’ve seen from Musetti lately.

Predictions and Odds

The betting odds are very even for this match-up, (Musetti at around 2.00 | +100 | 1/1 and Fritz at around 1.90 | -110 | 10/11) it’s the start of the clay season and the round of 64 at the Monte-Carlo Masters. Meaning, a game hard to predict.

We know the capabilities of Lorenzo Musetti and we remember him beating Djokovic last year in this tournament. While I can see him beating Fritz on clay, the American looks a little bit stronger at the moment and I will instead go for the below bet that we will see 3 sets here, at good odds.

Over 2.5 Total Sets – Odds 2.28 | +125 | 5/4

Always bet responsible with money you can afford to lose! You can find good odds at .

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