Arantxa Sanchez-Vicario vs Gabriela Sabatini Important H2H Prediction Stats:

Head-to-head: Sanchez-Vicario 0 - 0 Sabatini

• Second serve performance recent form: In recent form (last 6 months), Sanchez-Vicario has won 0% of points on their second serve, while Sabatini has won 0%. There is a high correlation between this stat and match prediction accuracy.
• Return game stats recent form: Return stats show Sanchez-Vicario, in recent form, has won 0% of their opponent's second serve points, while Sabatini has won 0%. The same stats for first serve returns are 0% and 0% respectively and this has a high correlation to pick who is favored in this H2H matchup.
• Under pressure analysis: Sanchez-Vicario has saved 0% of breakpoints in recent form, whereas Sabatini has saved 0% which is a useful statistic for in-game betting predictions.
• Performance overview: Over the last year Sanchez-Vicario has won 0% of matches played (W/L 0/ 0), with Sabatini winning 0% (W/L 0/ 0) that gives us an overall head-to head prediction overview.
• Best surface: Sanchez-Vicario has their best career surface win % on Grass, winning 74% (W/L 20/ 7), and worse career win % on I.hard, winning 39% (W/L 9/ 14). Sabatini has their best career surface win % on N/A, winning 80% (W/L 146/ 36), and worse career win % on Grass, winning 72% (W/L 13/ 5).
• Opponent quality stats: Over the last 12 months, Sanchez-Vicario has played against opponents with an average rank of while Sabatini has played against players with an average rank of .
• Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Sanchez-Vicario has won 0% of deciding sets over the last 12 months, while Sabatini has won 0% in all matches played on tour.
• Break point conversion: In recent form, Sanchez-Vicario has converted 0% of breakpoint opportunities, and Sabatini has converted 0% of their chances to break their opponents serve. A telling stat for in-game live betting tips when either player has a breakpoint opportunity.
• If you are interested in models that predict tennis matches, this article is a good start (Warning: Stats geeks only)