Mayar Sherif vs Kaitlin Quevedo: AI Prediction | Games, Spread, Aces & Double Faults

The model’s edge breaks down interestingly: the single strongest factor is surface fit (+5.4 percentage points toward Sherif), while Quevedo picks up weight from recent record by level (+5.2) and age (+3.8), plus a small overall-strength edge (+1.1). In practice that means Sherif benefits from clay-specific form signals — she’s already beaten Dalma Galfi in Iasi and has a clay win over Anna Blinkova in Rome — and her strong return index (87.15) plays well on slow, high-bouncing courts. The explainability output credits that profile with a surface bonus despite raw surface-strength index figures. Looking at the raw numbers, Quevedo arrives with the higher Elo (1651.9 vs 1558.3) and a markedly better form index (47.33 vs 20.19), which underpins the model’s slight overall lean to her. Rankings are close (107 vs 109). Fatigue is a tangible factor: Quevedo has 98 minutes on court so far in the tournament versus Sherif’s 75. Surface-strength indices are 19.49 for Quevedo and 10.58 for Sherif, and serve and return indices are similar (serve: 95.68 vs 94.87; return: 87.15 vs 85.32) so neither player holds a big serving/returning split. Over their last three matches Sherif is 2–1 with one long 210-minute loss; Quevedo is also 2–1, with two 120-minute matches at Roland Garros and a straight-sets win over Ruse in Iasi.