Roberto Bautista Agut vs Matteo Berrettini: AI Prediction | Games, Spread, Aces & Double Faults

Bautista Agut (rank 80) brings a solid baseline game and an Elo of 1538.7, but his form index (37.66) and surface strength (39.46) suggest he is below his peak on clay right now. He also arrives with 239 minutes of cumulative court time at this event, which shows notable fatigue. Berrettini (rank 91) posts a higher Elo (1632.3) and a slightly better form index (41.94) and surface strength (40.93), while listing zero tournament fatigue — a freshness edge in Monte Carlo’s physical conditions. Serve and return metrics are decisive here: Berrettini’s mean serve index (99.57) is dramatically higher than Bautista Agut’s (75.08), and his mean return index (88.24) also outstrips Bautista Agut’s (70.30). Both differences exceed 5 points and point to a clear advantage in both serving potency and return quality for Berrettini. Recent match patterns underline some inconsistency: Bautista Agut has one win (over Bonzi) and two defeats in his last three matches, including a straight-sets loss at this event; Berrettini has one win and two losses in his past three, with his most recent matches indicating longer, more physical contests.