Cameron Norrie vs Aleksandar Kovacevic: AI Prediction | Games, Spread, Aces & Double Faults

The model’s edge for Kovacevic is driven primarily by the serve & return game (3.9 percentage points) and, to a smaller extent, age (1.2 points). Looking at the underlying numbers, both men bring very similar serving profiles — Norrie’s mean serve index is 96.66 and Kovacevic’s 96.52, essentially level — while Norrie holds a clear advantage on the return (89.39 vs 83.79), a gap just over five points that favors Norrie. Overall strength tilts toward Norrie (overall factor +2.3 pp), supported by his higher Elo (1613.47 vs 1505.13) and superior ranking (39 vs 93). Surface fit also slightly favors Norrie (surface strength 33.19 vs 15.82), suggesting he matches the hard-court conditions better. Fatigue is not a differentiator here — both players list zero minutes on court in this event. Form indices show Kovacevic a touch higher (32.43) than Norrie (28.13), but neither display strong recent winning momentum; both players’ last three recorded matches in the dataset are losses, with Norrie coming off long matches at Wimbledon and Roland Garros and Kovacevic similarly unable to convert on grass. Those recent results help explain the narrow margin in the projection.