Beibit Zhukayev vs Remy Bertola Head-to-Head Stats, Results & Performance Comparison

Considering recent form, there is a noteworthy discrepancy between the second serve performance of Zhukayev and Bertola. Zhukayev has triumphed in 51.72% of points on their second serve, while Bertola has achieved a slightly lower success rate of 46.31%. It is worth mentioning that this statistic holds a strong correlation with match prediction accuracy. When analyzing return game statistics in recent form, Zhukayev has displayed a proficiency in winning 44.13% of their opponent's second serve points, whereas Bertola has outperformed with a 51.18% success rate. In terms of first serve returns, Zhukayev has secured 25.78% while Bertola has attained 34.06%. These figures carry a significant correlation in determining the favored player in their upcoming head-to-head duel. A peculiar examination involves how each player handles pressure situations. Zhukayev boasts a 68% success rate in saving breakpoints in recent form, while Bertola manages to salvage 57.64% of these crucial moments. This statistic serves as a valuable insight for in-game betting predictions. Zooming out for a performance overview over the past year, Zhukayev has claimed victory in 53.73% of matches played, with a win-loss record standing at 36 wins and 31 losses. On the other hand, Bertola carries a stronger overall performance with a success rate of 62.65% and 52 wins compared to 31 losses. These records provide an encompassing prediction overview of their head-to-head encounter. Delving into the players' preferred surfaces, Zhukayev exhibits their highest career win percentage on Grass at 57% (8 wins and 6 losses). Conversely, their worst surface is Clay with a win rate of 42% (31 wins and 42 losses). Bertola, in contrast, excels on Hard courts with a career win percentage of 64% (84 wins and 47 losses). However, their weakest surface is Indoor Hard, recording a win rate of 57% (41 wins and 31 losses). Considering player level, a noteworthy observation is that Zhukayev has primarily competed in Challengers/ITF tournaments valued at more than $10,000 over the past year. With a win-loss record of 26 wins and 24 losses, this amounts to a 52% success rate. Similarly, Bertola has predominantly participated in Challengers/ITF tournaments priced above $10,000, achieving a 53.19% win rate with 25 wins and 22 losses. The event level at which players have competed serves as a crucial factor when predicting the favored player. Examining opponent quality statistics, in the past 12 months, Zhukayev has encountered opponents with an average ranking of 217.48, while Bertola has faced players with an average ranking of 419.47. These figures shed light on the level of competition each player has encountered. In the context of a deciding set, which may be of interest to those involved in live predictions and betting, Zhukayev has emerged victorious in 41% of deciding sets over the past year, whereas Bertola has showcased a stronger performance by winning 54% of all matches played on tour. While past player performance proves beneficial in predicting tennis matches, it is equally important to consider the current event statistics for players in form. Therefore, it is advised to refer to the section below to review the current event statistics, provided the players have participated in the ongoing tournament. Additionally, certain players exhibit improved performance at specific events, which must be taken into account when predicting the outcome. Break point conversion rate is a crucial aspect to consider. In recent form, Zhukayev has successfully converted 36.62% of breakpoint opportunities, while Bertola has achieved a slightly higher conversion rate of 41.42% when breaking their opponents' serve. This statistic is particularly telling for in-game live betting tips whenever either player has a breakpoint opportunity. For those interested in tennis match prediction models, the following article serves as a valuable resource (Warning: Stats geeks only) [article link](https://www.researchgate.net/publication/330883807_Predicting_the_Outcome_of_a_Tennis_Tournament_Based_on_Both_Data_and_Judgments).