Georgia Kalamaris vs Florence Fedeli Head-to-Head Stats, Results & Performance Comparison

• Georgia Kalamaris excels in second serve performance, winning 36.20% of points, compared to Florence Fedeli's 27.62%. Is this a key factor in the match prediction? Typically, yes.
• Florence Fedeli has a slight advantage in returning second serves, achieving a success rate of 51.19%, while Kalamaris manages 47.83%.
• Georgia Kalamaris shows stronger performance in returning first serves with a success rate of 29.87% versus Fedeli's 26.42%.
• Under pressure, Fedeli has a slight edge, saving 38.10% of breakpoints compared to Kalamaris' 36.54%.
• When examining match outcomes, Kalamaris has won 27.66% of matches over the past year, higher than Fedeli's 16.67%.
• Kalamaris' best surface is indoor hard with a 29% win rate, while Fedeli performs best on clay with an 11% win rate.
• Most matches played by both were at the Futures/Satellites/ITF tournaments $10K category, with Kalamaris having a higher win percentage at 34.38% compared to Fedeli's 16.67%.
• The average rank of Kalamaris' opponents in the last year was 223.64; however, Fedeli's was unspecified, indicating possibly weaker competition.
• Kalamaris is more successful in deciding sets, winning 60% compared to Fedeli, who has not won any in the last 12 months.

Editorial Prediction (September 28, 2025, UTC):

Georgia Kalamaris appears to have a beneficial position going into this match, with a sharper second serve performance and a record of winning a higher percentage of matches than Florence Fedeli. Kalamaris' ability to win crucial points and return both first and second serves effectively gives them a conceivable upper hand.

Florence Fedeli demonstrates proficiency in returning second serves and displays composure under pressure. Nonetheless, the player’s lack of success in deciding sets and their relatively limited achievement on all surfaces may present challenges.

Considering these factors, Georgia Kalamaris emerges as the likely victor in this upcoming tennis match, given their comprehensive strength across various critical metrics.