Tatiana Prozorova vs Peyton Stearns: AI Prediction | Games, Spread, Aces & Double Faults

The model's edge for Stearns comes mainly from two sources: recent record by level and overall record & opposition quality. Stearns’ higher standing (rank 58) and superior Elo (1668.9 vs 1576.2) reflect stronger results against tougher fields, which is why those factors swing the prediction toward her. Stearns also arrives with lower cumulative fatigue (160 minutes on court this event) compared with Prozorova’s 262 minutes, giving her fresher legs in the later rounds. Look at the raw profiles: Prozorova (rank 181) brings a strong serve-return profile — mean serve index 95.3 and mean return index 92.9 — while Stearns posts a very similar serve index (95.0) but a noticeably lower return index (87.0). That ~6-point gap on return ability favors Prozorova and explains why the match could feature more extended rallies on return games. On surface fit, Stearns has a higher surface strength index (30.0 vs 19.1), and combined with her higher Elo and ranking, that tilts the balance further toward her despite Prozorova’s sharper return numbers. Recent form: Prozorova has won two hard-court matches in Memphis after a loss in Chennai (W-W-L), with long match durations (137 and 125 minutes) contributing to fatigue. Stearns has a 1-2 record in her last three but delivered the most recent win in Memphis in a 160-minute match; overall the model rewards her track record at higher-level opposition.