This study confirmed the relation between Other-Efficacy (OE) and its related factors, and between Self-Efficacy (SE), Other-Efficacy (OE), and subjective performance in soft tennis players. The study recruited 188 soft tennis players who responded to SE and OE questions regarding soft tennis skills (serve, receive, stroke, net play, and situational judgment) and competed in the match. After the match, the players were asked to respond to a questionnaire on their subjective performance of soft tennis skills. T-test was conducted to examine differences in SE and OE by positions. Next, Pearson’s correlation analysis was conducted to examine the relation between SE/OE and players’ own years of playing experience, their partner’s years of playing experience, and their pairing history. Then, a hypothetical model was set up with OE, SE, and subjective performance as the independent, mediating, and dependent variables, respectively. Covariance structure analysis was used to examine the validity of the model. Finally, the effect of SE and OE on subjective performance was estimated. The results showed that, first, SE and OE were found to differ by positions. Second, OE was positively correlated only with the partner’s years of competition experience. Third, each goodness-of-fit index of the hypothetical model met the criterion for adoption, indicating the validity of the hypothetical model. Fourth, OE was a factor that reinforced SE. Finally, OE had no effect on subjective performance. These results suggest that in competitions with specific opponents, such as doubles, pairing with an opponent who is strongly aware of the OE improves performance in the match.

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In recent years, there has been an increase in the number of studies measuring the speed and spin rate of tennis players using the Trackman Tennis Radar and Hawk-Eye, but few studies have clarified how tennis players actually use different service speeds and spin rate during a match. In this study, we investigated the differences in speed and spin rate in 14 matches of 20 male professional tennis players who participated in the ATP Challenger Tournament, focusing on the results of the service(IN, FAULT, ACE), the course of the service, and the important counts during the game. The results showed that the frequencyof INs tended to decrease as the speed of the service increased and the spin rate decreased, and that ACEs were more likely to occur as well. The results also showed that the D-wide course had a low speed and a high spin rate, while the D-center and A-wide courses had a high speed and a low spin rate. In the 2nd service, a large percentage of the balls were hit to the opponent’s backhand side. Also, they hit to the forehand side, they hit the ball with high speed. These results indicate that the strategy used in the 2nd service is to prevent the opponent from taking the initiative. The results of the analysis of speed and spin rate by service course showed different characteristics for each course, suggesting that it is important to analyze services by service course in the future. Furthermore, the results showed that the players tended to use the 1st service with high speed for important counts.

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Tennis is a sport in which the server has a high advantage, but in order to proceed the service game advantageously, it is important that the server choices the appropriate service according to the game situation. However, no studies have investigated the relationship between the scoring situation and the service course. Therefore, the purpose of this study was to clarify the relationship between the scoring situation and the first service course in the service game of Novak Djokovic. Data were taken from 67 matches (consist of 176 sets, 827games, 4,761 points) of Davis Cup, the Grand Slums, ATP finals and Masters1000 played on hard-court from January 2018 to January 2020. All opponents were right-handed players. In addition, it was 4,965 times of Djokovic’s first service (Deuce side: 2,619 times, Advantage side: 2,346 times). These data were collected from the match video on WOWOW on-demand. The results were as follows: (1) It became clear that Djokovic’s first service distribution pattern was not the same for all point counts. (2) It became clear that Djokovic changed the course of his first service depending on the scoring situation. Specifically, Djokovic often chose the course that is likely to be a service point (2 or less rallies including the service) at 30-0 and 40-0, and the course that is likely to be a short point (3-4 rallies including the service) at 15-15 and 0-15.

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Hashimoto Sogyo HD women’s tennis team won the 36th Tennis Japan League held from December 2021 to February 2022. The purpose of this study was to review in detail the strengthening activities of Hashimoto Sogyo HD women’s tennis team for about two years from the end of the 34th Tennis Japan League to the end of the 36th Tennis Japan League, to clarify the factors that led to the team’s championship in the 36th Tennis Japan League from the perspective of the coaching staff, and to make suggestions on the ideal way of the strengthening activities for businessmen’s tennis teams. The factors that led to the 36th Tennis Japan League championship are as follows: 1) The coaching staff with outstanding experience and practical knowledge, the professional staff including trainers and scientists, and the professional players who mainly compete on the world stage have worked together as one team for the 36th Tennis Japan League. 2) Through regular strengthening activities over the past two years, the team has been best prepared for the 36th Tennis Japan League from various aspects, in addition to improving its abilities. 3) Each player overcame her own mental, physical, technical, and tactical problems while at the same time clearly understanding her own role and position in the team and fulfilling her own assigned duties. 4) Through long-term cooperation and collaboration between the coaching and scientific support staff, objective data obtained from video-based game analysis were effectively utilized.

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