Jia-Jing Lu vs Lucija Ciric Bagaric Head-to-Head Stats, Results & Performance Comparison

According to recent form, both Lu and Bagaric have displayed a relatively close performance in terms of their second serve. Lu has achieved a winning rate of 45.02%, while Bagaric stands at 44.62%. It should be noted that this particular statistic has a strong correlation with match prediction accuracy, lending it significant weight. Examining the return game statistics in recent form, Lu has been successful in winning 55.92% of their opponent's second serve points, whereas Bagaric has achieved a slightly lower rate of 52.92%. As for the first serve returns, Lu has recorded a 36.44% success rate, while Bagaric has managed 37.84%. These figures carry substantial importance when determining the favored player in this upcoming head-to-head matchup. Turning our attention to the players' abilities under pressure, Lu has demonstrated the ability to save 53.75% of breakpoints during recent matches. On the other hand, Bagaric has displayed a slightly higher save rate of 57.22%. This particular statistic is of great value for making in-game betting predictions. In terms of overall performance, Lu has had a successful year, winning 56.52% of the matches played (W/L 39/30). Bagaric, although slightly lower, maintains a commendable winning rate of 52.94% (W/L 27/24). This provides us with an encompassing prediction overview for their head-to-head encounter. When considering the players' performance on different surfaces, Lu has exhibited remarkable success on hard courts, boasting a 59% career win rate (W/L 385/267). However, their performance on grass courts has been less favorable, with only a 22% win rate (W/L 2/7). Conversely, Bagaric excels on hard courts, having achieved an impressive 75% win rate (W/L 27/9), yet struggles on grass courts with a 0% win rate (W/L 0/1). Examining the player level and the events they have participated in during the last year, Lu has primarily competed in Challengers/ITF tournaments above $10K, winning 58.33% of matches (W/L 35/25). Conversely, Bagaric has also predominantly played in Challengers/ITF tournaments above $10K, recording a win rate of 52.5% (W/L 21/19). Therefore, when comparing these statistics to predict the favorite, it is essential to consider the level of the events in which the players have been competing. Taking opponents' quality into account, Lu has encountered players with an average rank of 382.81 over the past 12 months, highlighting the level of competition they have faced. On the other hand, Bagaric has faced players with an average rank of 285.63. These figures offer valuable insights into the challenges each player has confronted. In the case of a deciding set, if such a scenario arises in the upcoming match, Lu has successfully won 42% of deciding sets in the last 12 months, whereas Bagaric boasts a higher win rate of 55% in all matches played on the tour. These statistics can provide invaluable guidance for those interested in live predictions and betting. Although past player performance is highly useful in predicting tennis matches, it is crucial to also consider current event statistics for an indication of an in-form player. Therefore, it is advisable to refer to the section below, which provides relevant information on the current event (if the players have participated in a match). Additionally, certain players may perform better at specific events, and this should be duly noted when making predictions. When analyzing breakpoint conversion in recent matches, Lu has effectively converted 45.49% of their opportunities, while Bagaric has achieved a slightly higher conversion rate of 46.39% when trying to break their opponents' serve. These statistics serve as valuable indicators for in-game live betting tips whenever either player faces a breakpoint opportunity. For those interested in models that predict tennis matches, there is a noteworthy article available, which serves as a solid starting point. It can be accessed through this link: [article](https://www.researchgate.net/publication/330883807_Predicting_the_Outcome_of_a_Tennis_Tournament_Based_on_Both_Data_and_Judgments) (Warning: Stats geeks only)