Gael Monfils vs Learner Tien: AI Prediction | Games, Spread, Aces & Double Faults

The model’s edge for Learner Tien comes mainly from three factors: age, overall strength, and surface fit. Age contributes 8.2 percentage points toward Tien, overall strength adds 7.2 points, and surface fit contributes 4.5 points. Those signals align with the raw numbers. Tien is a top 20 player at rank 15 with an Elo of 1828.68 and a form index of 57.12. Monfils sits well down the rankings at 307, with an Elo of 1563.43 and a form index of 31.54. Tien’s surface strength index on hard is 41.58 versus Monfils at 23.66, which is consistent with the model favoring Tien on this surface. Other model factors also play a role. Recent record by level nudges the edge 2.2 points toward Monfils, reflecting his recent 3-1 win at this US Open and his ability to win extended matches. Serve and return game gives Tien a small additional lift of 2.1 points. Both players post high serve and return indices: Monfils has a mean serve index of 96.46 and a mean return index of 89.00. Tien’s serve index is 95.14 and return index is 88.23. Fatigue is identical in the dataset with 174 minutes each from this tournament. Over the last three matches Monfils has one recent win at the US Open and earlier losses in Cincinnati and Toronto, including a straight sets loss to Tien in Toronto. Tien arrives with two wins out of three at high level events including a 3-0 win at this US Open and a mixed run in Cincinnati.