Ben Shelton vs Sho Shimabukuro: AI Prediction | Games, Spread, Aces & Double Faults

The model’s edge for Shelton comes mainly from overall strength (+7.1 percentage points): he is currently world No. 5 with an Elo of 1776.5, a strong surface profile (surface strength index 39.41) and elite serve/return metrics. That said, the algorithm also awards a modest serve & return swing (+4.0 points) toward Shimabukuro — driven in part by his excellent form this week in Stuttgart (three straight wins including a win over Nick Kyrgios) and a higher proprietary form index (58.06 vs Shelton’s 30.42). The model still tips Shelton because of his higher ranking, Elo and slight advantages across recent-match level metrics (age, recent form and recent record by level together contribute ~7.1 points in Shelton’s favor). Looking at the raw inputs: Shelton’s mean serve index (96.59) is marginally above Shimabukuro’s (94.63) — not a >5-point gap — but Shelton’s mean return index (90.11) exceeds Sho’s (84.27) by more than 5 points, a meaningful return advantage on a surface where returners are normally on the back foot. Fatigue is a factor: Shelton has logged 158 minutes in this event versus Shimabukuro’s 322, so Sho arrives having done more work physically. Recent form summaries: Shelton is 2-1 across his last three (including a win over Marcos Giron and a heavy clay loss at Roland Garros), while Shimabukuro is 3-0 in Stuttgart (Rodionov, Halys, Kyrgios).