Dalibor Svrcina vs Valentin Royer: AI Prediction | Games, Spread, Aces & Double Faults

The model’s edge for Royer comes mainly from recent form, supported by serve and return characteristics and his lower recent workload. Recent form is weighted toward Royer despite his lower form index because he has recently faced top opposition in North American hard events, including matches against Stefanos Tsitsipas and Tommy Paul, which the model treats as high quality exposure. Royer’s mean serve index is slightly higher at 96.14 versus Svrcina’s 94.01, and the model credits that service consistency together with return dynamics for a further advantage. Rank and ratings paint a mixed picture. Royer is higher ranked at 74 while Svrcina sits at 134. Svrcina holds the higher Elo at 1631.9 versus Royer’s 1528.9. Fatigue is a clear differentiator. Svrcina arrives with 522 minutes on court in this event from long matches at the US Open. Royer has no accumulated minutes here, which accounts for the model’s 1.6 percentage point tilt toward Royer on workload. Surface strength indices are low for both players, with Svrcina at 22.78 and Royer at 13.02. Over their last three matches, Svrcina has three wins at this US Open, all on hard courts and all lengthy affairs. Royer has one recent win and two losses, but those losses came against higher caliber opponents.