Tactical coaching in table tennis makes a difference in improving performance of the competition, however study based on objective statistical data is not progressing compared with other competitions. The current situation is that different advice is given by each advisor. Creating a table tennis Markov model from the transition probability of table tennis strokes, courses, and spins, and analysing it, we obtain data on the ball delivery rate and score rate of the players and aim to use it at the coaching. In the experiment, simulation was carried out by obtaining the transition probability of hit balls and scores from data of a total of six matches, targeting four drive main types using the most mainstream double-sided pimples in. As a result, the actual match and the simulation had a very strong positive correlation. Furthermore, when comparing them, the items of the distribution rate, the score rate, and the average number of rallies were approximately equal. From the above, the Markov model of the table tennis could reproduce the actual match. Since objective statistical data can lead to improvement points of play and effective tactics for opponents, this study is useful for improving the competitiveness of the athletes and the leadership of the coaches.
© Copyright 2020 Proceedings Book of The 16th ITTF Sports Science Congress Budapest (HUN), April 19th - 20th, 2019. Veröffentlicht von International Table Tennis Federation. Alle Rechte vorbehalten.