Raphael Vaksmann vs Mathys Picard Head-to-Head Stats, Results & Performance Comparison

Recent Second Serve Performance: In the past six months, the second serve performance has been under scrutiny. Picard has managed to claim victory in 42.86% of the points on their second serve, whereas Vaksmann has been slightly more impressive with a winning rate of 47.08%. It is worth mentioning that there exists a noteworthy correlation between this particular statistic and the accuracy of match prediction.

Analysis of Return Game Statistics: A closer look at the return game statistics reveals Picard's recent dominance. They have triumphed in 41.67% of their opponents' second serve points. In comparison, Vaksmann's prowess is commendable as well, having secured victory in 49.59% of the same category. When examining the first serve returns, Picard's success rate stands at 22.86%, while Vaksmann's stands at 35.1%. These statistics bear significant relevance when trying to forecast the favored player in this impending head-to-head matchup.

Under Pressure Analysis: In moments of extreme pressure, the ability to deliver becomes essential. Picard has impressively saved 55.56% of breakpoints during their recent performances. However, Vaksmann has proven to be nearly as adept, having saved 53.76% of breakpoints. Such a statistic proves to be of utmost usefulness for those interested in in-game betting predictions.

Performance Overview: A comprehensive overview of their performance over the last year clearly demonstrates contrasting outcomes. Picard has yet to achieve victory, having lost all matches played (W/L 0/4). Vaksmann, on the other hand, has attained success in 36.84% of their matches (W/L 7/12). These figures provide us with an overall prediction of their head-to-head encounters.

Surface Specialization: It is worthwhile to consider the players' performances on different surfaces. Picard showcases their most formidable skill on I.hard, with a winning percentage of 17% (W/L 1/5). However, their weakest performance can be observed on I.hard as well, with another winning percentage of 17% (W/L 1/5). Vaksmann demonstrates their utmost proficiency on Clay, boasting a winning percentage of 40% (W/L 4/6). Conversely, their weakest showing is on I.hard, with a 36% winning percentage (W/L 9/16).

Evaluating Player Levels: It becomes necessary to compare the players' statistics to predict the favorite. However, one must bear in mind that such analysis is contingent upon the event level. Over the past year, Picard has mostly participated in Futures/Satellites/ITF tournaments $10K, yet has failed to secure victory in any of their matches (W/L 0/4). Vaksmann, on the other hand, has predominantly competed in the same category of tournaments and has achieved success in 36.84% of matches played (W/L 7/12).

Opponent Quality Statistics: Over the course of the past 12 months, Picard has faced opponents with an average rank of 149, while Vaksmann has confronted players with an average rank of 337.42. This information aids in assessing the skill level of each player.

Deciding Set Performance: For those interested in live predictions and betting, a crucial factor to consider is the performance of the players in deciding sets. Picard has unfortunately failed to win any deciding sets over the past year, securing victory in none of such instances. In contrast, Vaksmann demonstrates a promising record by winning 50% of all matches played on tour that went into a deciding set.

Examining Current Event H2H Statistics: While past player performance holds significant predictive value in tennis matches, it is equally important to analyze current event statistics to gauge the form of the players involved. Therefore, it is advisable to consult the section below that provides insights into their performance during the ongoing event. Additionally, the fact that certain players exhibit superior performances at specific events should not be discounted when predicting the outcome of a match.

Break Point Conversion: Recent statistics reveal that Picard has successfully converted 50% of their breakpoint opportunities, showcasing a remarkable ability to seize crucial moments. Conversely, Vaksmann has converted 38.89% of their chances to break their opponents' serve. Such statistics serve as valuable indicators for live betting tips when either player finds themselves with a breakpoint opportunity.

If you are interested in models that offer predictions in the realm of tennis matches, this article serves as an excellent starting point. (Warning: Intended for statistics enthusiasts only)