Abstract:
The objective of this study was to develop a computer program that could predict the result of table tennis competitions. The study consisted of two sub-projects, where the first project pertained to the notational analysis of table tennis, and the second project developed the computer simulation program. In notational analysis, the researcher studied 113 competition matches from the top-ten male table tennis players ranked in September 2014. The matches were analyzed in Kinovea to find the frequency of skills and ball placements of each player. The results showed that. Forehand Cut Serve was the most frequent serves among the players where it was accounted for 72.73%, while forehand topspin was the most frequent skill in rally. The forehand topspin was accounted for 29.8%. From the forehand topspin, the ball was returned to area D the most resulted in 26.59% of all ball placements. From the data obtained from the notational analysis, the researcher used it as an input data for the computer simulation program coded in LabVIEW. The computer program correctly predicted 9 games from 11 games resulted in 81% of accuracy. In addition, the program was well perceived from table tennis coaches and players. Table tennis coaches and players believed that the program could predict the result of the match correctly and could be used for developing training session and game plan for players.