Shiho Akita vs Naiktha Bains Head-to-Head Stats, Results & Performance Comparison

Insights into the Upcoming Tennis Match

1. Performance on Second Serve: In the past six months, Bains has demonstrated a 48.22% success rate on their second serve, while Akita has achieved 48.1%. It is worth noting the significant correlation between this statistic and the accuracy of match predictions.
2. Return Game Stats: Recent return game statistics reveal that Bains has won 55.79% of their opponent's second serve points, whereas Akita has achieved a slightly higher rate of 60.04%. As for first serve returns, the figures stand at 43.92% for Bains and 43.99% for Akita. This data provides valuable insights into determining the favorite in this head-to-head matchup.
3. Under Pressure Analysis: When facing breakpoints, Bains has successfully saved 52.41% of them in recent matches, whereas Akita has managed to save 56.38%. This statistic proves to be especially useful for in-game betting predictions.
4. Performance Overview: Over the past year, Bains has won 60% of their matches (33 wins out of 55 played), while Akita boasts a higher success rate of 66.15% (43 wins out of 65 played). Therefore, when considering the overall head-to-head prediction overview, Akita seems to have the advantage.
5. Preferred Surface: Bains excels on grass courts, with a career win percentage of 52% (39 wins out of 75 played), whereas their performance on indoor hard courts is less impressive, with only a 25% win rate (1 win out of 4 played). On the other hand, Akita has a superior performance on grass courts, winning 62% of their matches (28 wins out of 45 played), but struggles on indoor hard courts, with a win percentage of 41% (7 wins out of 17 played).
6. Player Level: Bains predominantly competes in Challengers/ITF tournaments with prize money exceeding $10,000, achieving a 60.38% success rate (32 wins out of 53 played). Akita, on the other hand, participates in Futures/Satellites/ITF tournaments with a prize of $10,000, garnering a higher win percentage of 71.43% (25 wins out of 35 played). When comparing the statistics between players to predict the favorite, it is crucial to consider the level of the events they have been competing in.
7. Head-to-Head Matches: Bains and Akita have faced each other on two occasions, with Bains emerging victorious both times. Out of the five sets they have played in total, Bains has won four, while Akita has only won one. Their most recent encounter took place at the W35 Timaru tournament on February 14, 2025, during the quarterfinals on a hard court. Naiktha Bains sealed the victory with a scoreline of 3-6, 6-4, 7-5.
8. Duration of Head-to-Head Matches: Looking back at their previous encounters, the average match time between these players has been 2 hours and 56 minutes.
9. Prediction for Deciding Set: Bains and Akita have played a deciding set once before, with Bains winning on that occasion. Considering this statistic becomes particularly useful if the current match moves into a deciding set.
10. Head-to-Head Extreme Pressure Situations: They have not engaged in any tiebreaks against each other, as both Bains and Akita have maintained a clean record of zero victories in tiebreak situations.
11. Opponent Quality Statistics: In the past year, Bains has faced opponents with an average ranking of 378, while Akita has encountered players with an average ranking of 466.57. These figures shed light on the level of competition each player has faced.
12. Performance in Deciding Sets: When matches extend into a deciding set, Bains has achieved a 50% success rate in the last 12 months, while Akita boasts an impressive 63% success rate across all matches played on tour. These statistics hold significance for live predictions and betting when a match reaches this pivotal stage.
13. Current Event Head-to-Head Statistics: While past player performance serves as a vital factor in predicting tennis matches, it is also crucial to consider current event statistics to gauge the form of the players. Please refer to the section below for further insights if either player has played a match in the ongoing event. Additionally, some players may exhibit better performances at specific events, which should be taken into account when assessing the possible outcome.
14. Break Point Conversion: In recent matches, Bains has successfully converted 46.94% of break point opportunities, while Akita boasts a higher conversion rate of 53.57%. This statistic proves to be significant for in-game live betting tips when either player has a breakpoint opportunity.
15. If you are interested in models that predict tennis matches, you may find this article to be a valuable resource. (Warning: This article is intended for stat enthusiasts only)