Jesper de Jong vs Francesco Passaro: AI Prediction | Games, Spread, Aces & Double Faults

The model's edge for de Jong is driven primarily by recent form, serve and return characteristics, and fatigue. Notably, the explainability engine assigned +2.9 percentage points to de Jong for its recent-form component, even though the raw form_index values on paper favor Passaro (de Jong 32.15, Passaro 61.74). This apparent contradiction is flagged by the model and is reflected in the prediction weighting. Serve and return metrics add a further +1.9 points to de Jong, while fatigue and recent workload contribute +1.5, head-to-head gives +1.4, and overall strength adds +1.3 toward de Jong. Looking at the numbers, de Jong enters ranked 99 with an Elo of 1610.0, zero minutes of tournament fatigue, a surface strength index of 14.73, a mean serve index of 95.80 and a mean return index of 87.90. Passaro is ranked 207 but holds a higher Elo at 1667.6, 522 minutes of fatigue from earlier matches, a surface strength index of 27.07, a mean serve index of 95.96 and a mean return index of 88.08. The mean serve and return indices are virtually identical between the two, so neither player holds a large serving edge by those metrics. Recent match form diverges sharply: de Jong has lost his last three recorded matches, while Passaro has three straight wins at this event, all straight sets and lengthy at 174 minutes each.