Aristotelis Thanos vs Buvaysar Gadamauri Head-to-Head Stats, Results & Performance Comparison

• Gadamauri's recent second serve win rate stands at 48.39%, compared to Thanos' 40.31%. How important is this stat? It has a strong correlation with match forecasts.
• Examining return games, Gadamauri secures 45.38% on an opponent's second serve, while Thanos outperforms with 53.15% in recent matches. On first serve returns, Gadamauri has 31.73%, and Thanos has 28.37%.
• Under pressure, Thanos has a slight advantage, saving 53.42% of breakpoints, exceeding Gadamauri's 51.92%.
• In overall performance, Thanos has a superior win rate of 74.42% over the past year, surpassing Gadamauri's 58.33%.
• On preferred surfaces, Gadamauri excels on Hard with a win rate of 63%, though Thanos outshines them on I.hard at 71%.
• Thanos has achieved a high win percentage of 76.32% in $10K tournaments, while Gadamauri maintains a 60% success rate in similar events.
• Assessing the caliber of opponents, Gadamauri has faced players with an average rank of 469.62, slightly higher than Thanos' 484.09.
• In deciding sets, Thanos emerges stronger with a 75% win rate, markedly higher than Gadamauri's 55% success.
• Concerning breakpoint conversion, Thanos converts more efficiently at 34.65%, compared to Gadamauri's 29.14%.

Editorial Prediction (July 8, 2025, UTC):

In examining the recent performance insights between Gadamauri and Thanos, key statistics suggest interesting dynamics. Gadamauri shows strength in second serve points, whereas Thanos has a more solid return game.

Thanos, with a higher winning percentage across matches and superior breakpoint conversion, presents a reliable edge under pressure. Additionally, past records in tournaments favor Thanos for potential success in this matchup.

While both players have diverse skill sets, Thanos’ resilience in crucial moments and overall winning streak position them as a probable victor in this upcoming encounter. Therefore, Thanos is most likely to win this match, based on current factors and past performance patterns.