Ben Shelton vs Carlos Alcaraz: AI Prediction | Games, Spread, Aces & Double Faults

The model’s edge for Alcaraz comes mainly from surface fit and overall strength. Surface fit contributes 9.6 percentage points in Alcaraz’s favor, which is supported by his higher surface strength index of 68.95 versus Shelton’s 52.48. That gap suggests Alcaraz adapts better to hard courts in the model’s metrics. Overall strength is the next biggest driver at 9.1 points, reflected in a substantial Elo advantage for Alcaraz, 2439.88 against Shelton’s 1977.25, and a higher ranking of 3 versus Shelton’s 9. Recent record by level gave Alcaraz a further boost of 7.6 points. Both players enter the quarterfinals unbeaten at this event with 3-0, 3-0, 3-1 type wins, but the model’s recent-match grading favored Alcaraz by the computed margin. Serve and return factors add 4.6 points toward Alcaraz, consistent with his slightly stronger mean return index of 91.64 compared with Shelton’s 87.72. Serve indices are very close, 97.82 for Shelton and 96.79 for Alcaraz, so no large serving gap is driving the projection. Fatigue is identical in the dataset at 696 minutes for both players, so accumulated minutes should not tilt the match on paper. A modest head-to-head component also favored Alcaraz by 2.6 points in the model. Both men have swept through three matches to reach this stage. Shelton’s run includes wins over Stefanos Tsitsipas, Denis Shapovalov, and Hubert Hurkacz. Alcaraz advanced past Tommy Paul, Yibing Wu, and Jaime Faria in straight or four-set wins.