Cameron Norrie vs Bernard Tomic: AI Prediction | Games, Spread, Aces & Double Faults

The model's edge for Norrie comes mainly from recent record by level and overall strength. Norrie’s superior Elo (1625.96 vs 1511.50) and higher season form index (8.09 versus 38.77—note the index scales differently here) feed into those factors, and the surface fit further nudges the prediction toward him. Norrie’s surface strength index (33.67) comfortably exceeds Tomic’s (12.39), and that surface fit accounts for part of the 4.1 percentage-point advantage cited by the model. Serve & return dynamics are a notable counterweight in Tomic’s favor. While their mean serve indices are close (Norrie 96.65, Tomic 95.44) and not materially different, Norrie has a clear edge on return (mean return index 89.49 vs 83.82), a gap greater than 5 points which will be important on a medium-paced hard court. Fatigue also matters: Norrie has spent 82 minutes on court in the event versus Tomic’s 207, which could make Tomic sharper in short exchanges but also may reflect Norrie’s smoother path through the draw. Over the last three matches Norrie is 1–2 in results (most recently beating Kovacevic in Los Cabos), while Tomic arrives with two wins at this event after a longer, tougher three-match run including a 161-minute contest.