Karen Khachanov vs Jaume Munar: AI Prediction | Games, Spread, Aces & Double Faults

Khachanov enters with a higher ranking (18) and a substantially higher Elo (2089.10) compared with Munar (rank 37, Elo 1358.17). His form index (52.32) is slightly behind Munar’s (57.66), and Khachanov carries more cumulative fatigue from this event (143 minutes versus Munar’s 71), which could influence endurance late in rallies. Surface strength indices are low for both (Khachanov 10.12, Munar 13.89), suggesting neither has an overwhelming historical edge on this type of hard court. The statistical matchup highlights clear differences in serve and return profiles: Munar’s mean serve index (97.02) is markedly higher than Khachanov’s (71.67), and his mean return index (89.49) also exceeds Khachanov’s (58.46). Those gaps—both greater than five points—point to Munar being strong on service games and effective on return games in the model’s internal metrics. Recent results show Khachanov with two wins and one loss in his last three matches (including a three-set Rotterdam win over Jesper de Jong and a four-set loss to Luciano Darderi), while Munar is also 2-1 over his last three (a straight-sets Rotterdam win over Nicolai Budkov Kjaer, a clean loss to Casper Ruud, and a five-set win over Dalibor Svrcina).