Beibit Zhukayev vs Matteo Martineau Head-to-Head Stats, Results & Performance Comparison

Predictions for the upcoming tennis match:

Recent second serve performance:

Over the past six months, Zhukayev has demonstrated an impressive second serve performance, winning 52.2% of points. In contrast, Martineau has had a slightly lower success rate, winning 47.05% of points. This statistic holds a significant influence over the accuracy of match predictions.

Recent return game statistics:

In recent matches, Zhukayev has displayed prowess in returning, having won 44.18% of their opponent's second serve points. Martineau, on the other hand, has achieved a slightly higher success rate, winning 44.98% of such points. As for first serve returns, Zhukayev's success rate stands at 25.7%, while Martineau's is slightly higher at 25.87%. These return game statistics play a crucial role in determining the favored player in their head-to-head (H2H) matchup.

Analysis under pressure:

When faced with breakpoints, Zhukayev has proven resilient, saving an impressive 67.97% of them in recent matches. Martineau, though slightly ahead, has saved 70.72% of breakpoints. This is a significant statistic to consider when making in-game betting predictions.

Performance overview:

Over the past year, Zhukayev boasts a 54.41% winning percentage, having won 37 out of 68 matches played (W/L 37/31). In comparison, Martineau's winning percentage stands at 43.1%, with 25 victories out of 58 matches played (W/L 25/33). These statistics provide an overall perspective on their head-to-head prediction.

Best surface:

Zhukayev's most successful surface is Grass, where they have achieved a commendable 57% win rate (W/L 8/6). Conversely, their performance on Clay has been less favorable, with a win percentage of 42% (W/L 31/42). On the other hand, Martineau excels on Hard courts, boasting a win percentage of 59% (W/L 55/38). However, their record on Grass courts is less impressive, having won only 43% of matches (W/L 3/4).

Player level:

In the previous year, Zhukayev predominantly participated in Challenger/ITF tournaments above $10,000, winning 52.94% of their matches (W/L 27/24). Martineau, too, primarily competed in Challenger/ITF tournaments with the same threshold, achieving a 48.94% success rate (W/L 23/24). When comparing statistics between players to predict the favorite, it is vital to consider the level of the events they have been participating in.

Opponent quality statistics:

Over the past 12 months, Zhukayev has faced opponents with an average rank of 260.25, while Martineau has had opponents with an average rank of 243.67. This information sheds light on the level of competition each player has encountered.

Deciding set performance versus all players:

For live predictions and betting enthusiasts, it is worth noting that if this match reaches a deciding set, Zhukayev has won 41% of deciding sets played in the last 12 months. Martineau, on the other hand, has won 35% of all matches played on the tour. This statistic offers valuable insights for in-game predictions.

Current event head-to-head (H2H) statistics:

In predicting tennis matches, past player performance serves as a valuable indicator. However, once an event is underway, it becomes necessary to consider current event statistics to gauge the form of the players. Feel free to refer to the section below for updated statistics if any player has already participated in the current event. Additionally, certain players may have a better track record at specific events, and this should be taken into account when predicting the outcome of a match.

Break point conversion:

In recent matches, Zhukayev has proven efficient in converting breakpoint opportunities, capitalizing on 37.24% of them. Martineau, while slightly behind, has still successfully converted 35.85% of their chances to break their opponents' serve. This statistic becomes particularly relevant when making live betting tips during pivotal moments in a match.

If you are interested in utilizing models for predicting tennis matches, I recommend exploring this article (Warning: Suitable for statistics enthusiasts).