Samira De Stefano vs Olivia Gram Head-to-Head Stats, Results & Performance Comparison

• Regarding second serve performance in the past six months, Samira De Stefano slightly outperforms Olivia Gram, securing 39.85% of points compared to Gram's 38.32%.
• In return games, Olivia Gram excels more on opponents' second serves with a 54.69% success rate against Samira's 50.70%.
• When returning first serves, Samira De Stefano edges out with 35.83% over Olivia Gram's 32.90%.
• Under pressure situations, Olivia Gram has a minor advantage, saving 46.38% of breakpoints compared to Samira's 43.87%.
• Samira De Stefano exhibits stronger performance overall within the last year, achieving a 56.67% match win rate, whereas Olivia Gram has managed just 19.23%.
• Both players have their best career win percentages on Hard courts, but Samira De Stefano's recent form is more impactful, especially with a significantly better overall win-loss ratio than Olivia Gram.
• Samira has had greater success on Challengers/ITF tournaments, boasting a 56.67% win rate, while Olivia Gram struggles with just 7.14%.
• In matchups, Samira De Stefano has encountered lesser-ranked opponents, whereas Olivia Gram has faced higher-ranked players on average.
• If the contest reaches a deciding set, Samira is more likely to prevail, winning 57% of deciding sets, compared to Olivia's 17%.

Editorial Prediction (November 16, 2025, UTC):

Given recent performance stats, Samira De Stefano shows a slight edge over Olivia Gram, particularly in second serve points and first serve returns. These factors are crucial in predicting match outcomes.

Despite some strength from Gram in saving breakpoints and returns against second serves, her overall match win rate remains significantly lower than Samira's over the past year.

The deciding set performance also favors Samira De Stefano, who demonstrates resilience when the match goes to a tense finale.

Providing a holistic view of these statistics, Samira De Stefano is the likely victor in the upcoming match, unless unexpected changes occur during the event.