Lorraine M. Guillermo vs Barbara Bonic Important H2H Prediction Stats:

Head-to-head: Guillermo 0 - 0 Bonic

• Second serve performance recent form: In recent form (last 6 months), Guillermo has won 0% of points on their second serve, while Bonic has won 0%. There is a high correlation between this stat and match prediction accuracy.
• Return game stats recent form: Return stats show Guillermo, in recent form, has won 0% of their opponent's second serve points, while Bonic 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: Guillermo has saved 0% of breakpoints in recent form, whereas Bonic has saved 0% which is a useful statistic for in-game betting predictions.
• Performance overview: Over the last year Guillermo has won 0% of matches played (W/L 0/ 0), with Bonic winning 0% (W/L 0/ 0) that gives us an overall head-to head prediction overview.
• Best surface: Guillermo has their best career surface win % on I.hard, winning 60% (W/L 12/ 8), and worse career win % on Clay, winning 11% (W/L 1/ 8). Bonic has their best career surface win % on Hard, winning 54% (W/L 122/ 106), and worse career win % on I.hard, winning 40% (W/L 10/ 15).
• Opponent quality stats: Over the last 12 months, Guillermo has played against opponents with an average rank of while Bonic 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, Guillermo has won 0% of deciding sets over the last 12 months, while Bonic has won 0% in all matches played on tour.
• Break point conversion: In recent form, Guillermo has converted 0% of breakpoint opportunities, and Bonic 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)