Karen Khachanov vs Alexander Blockx: AI Prediction | Games, Spread, Aces & Double Faults

The model’s edge for Khachanov comes mainly from recent results by level, which add 5.6 percentage points to his chance based on how he has performed in big matches. Khachanov’s form index is 72.32 and his Elo sits at 1810.46. He arrives with substantial momentum at this event, having beaten Felix Auger-Aliassime 3-1, Benjamin Bonzi 3-0, and Learner Tien 3-2 in earlier rounds. His surface strength index is 33.85 and his mean serve index is strong at 96.79. His mean return index is 89.25. Cumulative fatigue from the tournament is listed at 696 minutes. Blockx is favoured overall because the model also credits his serve and return game, his age profile, and the quality of opposition he has beaten. He has a higher form index at 84.42 and a superior Elo of 1910.57. Blockx’s recent pathway is also impressive, with three straight wins at the Open, all 3-1 scores over Marco Trungelliti, Flavio Cobolli, and Francisco Cerundolo. His surface strength index is 31.32. His mean serve and return indices are 95.66 and 86.94 respectively, which are close to Khachanov’s numbers. Fatigue is identical in the dataset at 696 minutes for both players. Overall strength nudges Khachanov slightly, but the combination of Blockx’s Elo, form, and serve and return metrics tilt the balance to him.