Benjamin Hassan vs Javier Barranco Cosano Head-to-Head Stats, Results & Performance Comparison

Second serve performance recent form: Over the past six months, Hassan has showcased their prowess on the second serve, winning an impressive 49.75% of points. In comparison, Cosano has achieved a slightly lower success rate of 47.06%. This particular statistic has proven to bear a significant correlation with the accuracy of match predictions.

Return game statistics recent form: Examining return stats from recent matches, Hassan has effectively seized victory in 49.12% of their opponent's second serve points. Conversely, Cosano has exhibited a stronger performance, winning 53.28% in the same category. As for first serve returns, Hassan boasts a success rate of 33.46%, while Cosano maintains 32.29%. These numbers play a crucial role in determining the favorite in this head-to-head matchup, displaying an undeniable correlation.

Under pressure analysis: When faced with pressure situations, Hassan has proven their mettle by saving an impressive 60.69% of breakpoints in recent form. Cosano, although slightly behind, has still managed to save 58.56% of breakpoints. This statistic holds significant importance when making in-game betting predictions.

Performance overview: Looking back at the past year, Hassan has achieved a commendable 51.25% win rate, with an overall record of 41 wins and 39 losses. Similarly, Cosano has triumphed in 51.56% of matches, boasting a record of 33 wins and 31 losses. This comprehensive overview provides valuable insights for predicting the head-to-head matchup.

Best surface: Analyzing career statistics, it becomes evident that Hassan excels on clay courts, enjoying a remarkable 62% win rate with a record of 188 wins and 116 losses. However, their performance on grass courts lags behind, with a meager 40% win rate (2 wins and 3 losses). Conversely, Cosano also thrives on clay courts, achieving a 62% win rate (313 wins and 194 losses). Their weakest surface is indoor hard courts, where they have won only 40% of matches (6 wins and 9 losses).

Player level: In the past year, Hassan has primarily competed in Challenger/ITF tournaments worth over $10K, winning an impressive 54.72% of matches (29 wins and 24 losses). Meanwhile, Cosano has also participated in these tournaments, securing victories in 53.45% of matches (31 wins and 27 losses). These statistics must be interpreted relative to the level of the event attended in order to accurately predict the favorite.

Opponent quality stats: Over the course of the last 12 months, Hassan has faced opponents with an average ranking of 255. On the other hand, Cosano has encountered players with an average ranking of 351.77. These figures shed light on the level of competition each player has encountered, aiding in the implementation of well-informed predictions.

Deciding set performance vs all players: For those intrigued by live predictions and betting, it is crucial to consider the performance of players in deciding sets. In the past year, Hassan has emerged victorious in 53% of deciding sets, emphasizing their ability to excel under pressure. In comparison, Cosano has achieved a slightly lower success rate of 41% in all matches played on the tour.

Current event H2H stats: While historical performance forms a solid foundation for predicting tennis matches, analyzing current event statistics offers valuable insights into the form of players. For an accurate indication of a player's current form, one should refer to the section below, labeled Event Stats. Additionally, it is worth noting that certain players tend to perform better at specific events, warranting consideration when predicting the outcome.

Breakpoint conversion: Drawing from recent form, Hassan has impressively converted 37.68% of their breakpoint opportunities. In contrast, Cosano has exhibited an even higher conversion rate of 51.06% when presented with chances to break their opponent's serve. This statistic serves as a revealing indicator for in-game live betting tips, especially when players find themselves in breakpoint situations.

If you are interested in models that provide predictions for tennis matches, this article serves as an excellent starting point. (Warning: Reserved for those with a passion for statistical analysis)