Marco Cecchinato vs Roman Andres Burruchaga: AI Prediction | Games, Spread, Aces & Double Faults

The model’s projection is driven by a mix of opposing strengths: it gives Cecchinato a clay and serve/return edge, while Burruchaga gains from age and overall strength measures. Cecchinato’s recent success on this exact surface at Umag helps explain the model’s surface-fit boost (+3.4 points toward him); his two straight wins here show he is comfortable on slow courts. His mean serve index (94.90) and mean return index (91.19) are both marginally higher than Burruchaga’s, which is reflected in the +2.5 points toward Cecchinato for serve & return dynamics. On the other side, Burruchaga’s higher ranking (67 vs 195) and superior Elo (1551 vs 1512) underpin the model’s tilt toward him for overall strength (+1.9) and age (+3.3), contributing to the final 55% probability. Fatigue is another clear contrast: Cecchinato has already logged 139 minutes at this tournament, while Burruchaga is fresh (0 minutes), a practical advantage on demanding clay. Surface strength indices are modest for both (Cecchinato 14.60, Burruchaga 17.80), but Cecchinato’s immediate results at Umag give him the surface-related nod in the model. Looking at recent form, Cecchinato arrives with two straight clay wins at Umag after a long grass loss; Burruchaga’s last three matches are losses (Roland Garros, Eastbourne, Wimbledon). Notably, the model still credits Burruchaga slightly on recent-form metrics, a factor that nudges the probabilities his way despite the raw win–loss lines.