Analysis Of The Game Characteristics Of The Final Juniors (Female) Match U14 At World Junior Tennis Finals In 2017 (Case Study)
Vol.13,No.1(2019)
The analysis of the course of a match serves in many sports as a tool to obtain feedback for players and coaches. The most common method of analysis in tennis is of game characteristics which is used in the training process both in pre-match preparation and post-match analysis. The results of these analysis centre on different ages and performance cohorts, which are published in a number of studies. At present, special computer software is often used to analyse game characteristics in tennis, eg. IBM Slam Tracker is used on all four grandslam tournaments. Game characteristics processed with this software have been taken into account when choosing 13 game characteristics used in our research. The aim of the research was to analyse the game characteristics of the best female junior player (n = 4), participants of the World Junior Tennis Finals (WJTF) final in 2017 in Prostejov. Based on the analysis of the research data, the differences in the level of the game characteristics of the winning and losing finalists were determined, then a comparison of the game characteristics of finalists WJTF 2017 and finalists of the women tournament at Roland Garros (RG) 2017 was carried out. In the final matches between Ukraine (UA) and the United States (US), the selected game characteristics were evaluated using the Dartfish 9.0 software. The results of the analysis of the game characteristics showed that the winning players gained more points after first and second serve in both matches. The winning players also obtained more breaks and winners, committing a significantly lower number of double faults and unforced errors. When comparing the level of game characteristics of the winning players at WJTF, it was found that they had a higher success rate of first serve than the RG winner and had a higher success rate in the number of gained breaks. It was found that the RG winner had a significantly higher ratio of winners over the losing players than it was by winners at WJTF. The ratio of total points won by the winning players versus the losers was higher for the WJTF than for the RG winner, which suggests a more balanced match at the RG final.
female junior players; comparison; software Dartfish; tennis; feedback
Albamonte, M. (2011). Tennis Metrics. ITF coaching and sport science review, 55, 19-20. Retrieved March 3, 2014 from http://en.coaching.itftennis.com/media/114083/114083.pdf.
Bedford, A., Barnett, T., Pollard, Gr. & Pollard, Ge. (2010). How the interpretation of match statistics affects player performance. Journal of medicine and science in tennis, 15(2), 25-29. Retrieved January 5, 2014 from http://www.stms-web.org/pdf/JMST-October2010.pdf.
Break2Win (2011). Break2Win [Computer software]. Retrieved February 15, 2016 from http://www.break2win.com.
Brody, H. (2004). Match statistics and their importance. ITF coaching & sport science review, 32, 11-12. Retrieved August 30, 2017 from http://en.coaching.itftennis.com/media/127755/127755.pdf.
Crespo, M., & Miley, D. (2003). ITF advanced coaches manual. London: ITF Ltd.
Cross, R. & Pollard, G. (2009). Grand Slam men’s singles tennis 1991-2009 serve speeds and other related data. ITF coaching & sport science review, 49, 8-10. Retrieved June 15, 2017 from http://en.coaching.itftennis.com/media/114016/114016.pdf.
Filipcic, A., Caks, K. K., & Filipcic, T. (2011). A comparison of selected match characteristics of female tennis players. Kinesiologia Slovenica, 17 (2), 14-24. Retrieved May 22, 2014 from SPORTDiscus database.
Filipcic, T., Filipcic, A. & Berendijas, T. (2008).Comparasion of game characteristics of male and female tennis playeers at Roland Garros 2005. Acta Univ. Palacki. Olomuc., Gymn., 38(3).
Hohmann, A., Lames, M., & Letzelter, M. (2007). Einführung in die Trainingswissenschaft. Wiebelsheim: Limpert Verlag.
Hui, Z., Lijuan, Y., & Jinju, H. (2010). Computer-aided game analysis of net sports in preparation of Chinese teams for Beijing olympics. International journal of computer science in sport, 9(3), 53-69. Retrieved May 20, 2014 from SPORTDiscus database.
Choi, H.J., O’Donoghue, P.G. & Hughes, M.D. (2009). A comparison of whole match and individual set data in order to identify valid performance indicators for real-time feedback in men’s single tennis matches. In Lees, A., Cabello, D. & Torres, G. Fourth World Congress of Science and Racket Sports. Madrid: SBA, 227-231.
Janak, O., Paces., J. & Zhanel, J. (2018). Analysis of the game characteristics of a final juniors match U14 at World Junior Tennis Finals – WJTF in 2014 (case study). In Zvonar, M., Sajdlova Z. 11th International Conference On Kinanthropology "Sport and Quality of Life". Brno: Masarykova univerzita, 815-825.
Kachel, K., Buszard, T. & Reid, M. (2015). The effect of ball compression on the match-play characteristics of elite junior tennis players. Journal of Sports Sciences, 33(3), 320-326. Retrieved August 15, 2017 from https://doi.org/10.1080/02640414.2014.942683">https://doi.org/10.1080/02640414.2014.942683
Katic, R., Milat, S., Zagorac, N. & Durovic, N. (2011). Impact of Game Elements on Tennis Match Outcome in Wimbledon and Roland Garros 2009. Collegium Antropologicum, 35(2), 341-346. Retrieved September17, 2017 from http://apps.webofknowledge.com.ezproxy.muni.cz.
Matchstat.com. Retrieved February 2, 2018 from https://matchstat.com/tennis/h2h-odds-bets/Simona%20Halpec/Jelena%20Ostapenko.
Polach, M., Zhanel, J., Paces, J. & Cernosek, M. (2016) Analysis of the game characteristic of a final juniors mach up tp 14 years at world junior tennis finals. In Zvonar, Martin, Sajdlova, Zuzana. 10th International Conference On Kinanthropology "Sport and Quality of Life". Brno: Masarykova univerzita, 168-178.
Sanz, D. & Terroba, A. (2012). New technologies applied to tactical analysis in tennis. ITF coaching & sport science review, 56, 22-23. Retrieved June 24, 2017 from http://en.coaching.itftennis.com/media/118089/118089.pdf.
Schönborn, R. (2012). Strategie und Taktik im Tennis: Gelnhausen: Wagner Verlag.
Terroba, A., Kosters, W.,Varona, J. & Manresa-Yee, C. (2013). Finding optimal strategies in tennis from video sequences. International Journal of Pattern Recognition and Artificial Intelligence, 27(6), 1-31. Retreieved August 29, 2017 from https://doi.org/10.1142/S0218001413550100">https://doi.org/10.1142/S0218001413550100
Tudor, P. B., Zecic, M. & Matkovic, B. (2014). Differences between 2010 and 2011 performance indicators of tennis play at the grand slam tournaments. Kinesiology 2014 Supplement,46(101). Retrieved September 15, 2016 from http://web.a.ebscohost.com.ezproxy.muni.cz.
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