Anurag Reddy1, Amritashish Bagchi2, Gayatri Vartak Madkekar3, Bhanu Pratap4, Ashutosh Acharya5, Anshuman Mishra6
1Indiana University Purdue University, Indianapolis, Indiana, USA
2Symbiosis School of Sports Sciences, Faculty of Medical and Health Sciences, Symbiosis International (Deemed University), Maharashtra, India
3Faculty of Humanities and Social Sciences, Symbiosis International (Deemed University), Maharashtra, India
4Department of Physical Education, Lovely Professional University, Punjab, India
5Lakshmibai National College of Physical Education, Kerala, India
6Government College of Physical Education, Bhubaneswar, Orissa, India
A Point Difference Analysis Established by Winners and Losers in International Badminton Doubles Matches
Sport Mont 2024, 22(2), 69-75 | DOI: 10.26773/smj.240710
Abstract
The aim of this study is to analyze the point difference established in three different phases between winners and losers in international men’s and women’s badminton doubles matches. Analyzing 183 matches from the 2021 TotalEnergies World Championship, each match was divided into three phases: Phase 1 (0-7 points), Phase 2 (8-14 points), and Phase 3 (15-21 points). Maximum Point Difference (MPD) and Maximum Consecutive Points (MCP) were examined to assess player performance. Kruskal-Wallis H and Mann-Whitney U statistical tests were conducted. Significant differences between winners and losers were found in all phases, with the difference increasing significantly over phases with medium to large effect sizes. The first seven points significantly increase a player’s chances of winning. 72% (men’s category) and 75% (women’s category) of players won, who was ahead in the point difference in the first phase of the game. In the men’s category, 67.4% won who were ahead in point difference in all three phases. Whereas in the women’s category, it is 70.45%. Winners in both categories had significantly (p<0.05) higher consecutive points than the losers. In the second phase, the winners averaged 5 to 6 points over the losers in both categories. The winners kept increasing their point difference in every phase. On the other hand, in losers, the point difference decreased throughout the game. These findings underscore the importance of early lead acquisition and suggest potential strategies and tactics to enhance players’ winning probabilities.
Keywords
badminton, match analysis, consecutive point, match results
View full article
(PDF – 391KB)
References
Abian-Vicen, J., Castanedo, A., Abian, P., & Sampedro, J. (2013). Temporal and notational comparison of badminton matches between men’s singles and women’s singles. International Journal of Performance Analysis in Sport, 13(2), 310-320.
Abián-Vicén, J., Sánchez, L., & Abián, P. (2018). Performance structure analysis of the men’s and women’s badminton doubles matches in the Olympic Games from 2008 to 2016 during playoffs stage. International Journal of Performance Analysis in Sport, 18(4), 633-644.
Alcock, A., & Cable, N. T. (2009). A comparison of singles and doubles badminton: heart rate response, player profiles and game characteristics. International Journal of Performance Analysis in Sport, 9(2), 228-237.
Alder, D., & Broadbent, D. (2017). Quantifying the role of anticipation in badminton during competition; the impact of situational constraints, game format, match stage and outcome of match. BWF Sport Science.
Baert, S., & Amez, S. (2018). No better moment to score a goal than just before half time? A soccer myth statistically tested. PLOS One, 13(3), e0194255. https://doi.org/10.1371/journal.pone.0194255
Bagchi, A., Burad, A., Raizada, S., Mishra, A., & Mahimkar, Y. (2022). Comparative Analysis of Point Difference between Winners and Losers in Badminton Women Singles. International Journal of Human Movement and Sports Sciences, 10(3), 441-445. https://doi.org/10.13189/saj.2022.100310
Barreira, J., Chiminazzo, J. G. C., & Fernandes, P. T. (2016). Analysis of point difference established by winners and losers in games of badminton. International Journal of Performance Analysis in Sport, 16(2), 687-694.
Blomqvist, M., Luhtanen, P., & Laakso, L. (2000). Expert‐novice differences in game performance and game understanding of youth badminton players. European Journal of Physical Education, 5(2), 208-219.
Buchheit, M., Modunotti, M., Stafford, K., Gregson, W., & Di Salvo, V. (2018). Match running performance in professional soccer players: effect of match status and goal difference. Sport Performance & Science Reports, 1(21), 1-3.
Butterworth, D. A., Turner, J. D., & Johnstone, A. J. (2012). Coaches’ perceptions of the potential use of performance analysis in badminton. International Journal of Performance Analysis in Sport, 12(2), 452-467.
Cabello Manrique, D., & González-Badillo, J. J. (2003). Analysis of the characteristics of competitive badminton. British Journal of Sports Medicine, 37(1), 62-66. https://doi.org/10.1136/bjsm.37.1.62
Duarte, R., Araújo, D., Davids, K., Travassos, B., Gazimba, V., & Sampaio, J. (2012). Interpersonal coordination tendencies shape 1-vs-1 sub-phase performance outcomes in youth soccer. Journal of Sports Sciences, 30(9), 871-877. https://doi.org/10.1080/02640414.2012.675081
García-Rubio, J., Gómez, M. Á., Cañadas, M., & Ibáñez, J. S. (2015). Offensive Rating-Time coordination dynamics in basketball. Complex systems theory applied to Basketball. International Journal of Performance Analysis in Sport, 15(2), 513-526.
Gawin, W., Beyer, C., & Seidler, M. (2015). A competition analysis of the single and double disciplines in world-class badminton. International Journal of Performance Analysis in Sport, 15(3), 997-1006.
Gómez, M. A., Cid, A., Rivas, F., Barreira, J., Chiminazzo, J. G. C., & Prieto, J. (2021). Dynamic analysis of scoring performance in elite men's badminton according to contextual-related variables. Chaos, Solitons & Fractals, 151, 111295.
Hsin-Lian, C., Chang-Jun, W., & CHEN, T. C. (2018). Physiological and Notational Comparison of New and Old Scoring Systems of Singles Matches in Men's Badminton. Asian Journal of Physical Education & Recreation, 24(1).
Karlis, D., & Ntzoufras, I. (2009). Bayesian modelling of football outcomes: using the Skellam's distribution for the goal difference. IMA Journal of Management Mathematics, 20(2), 133-145.
Lee, K., Xie, W., & Teh, K. (2005). Notational analysis of international badminton competitions. In Q.Wang (Ed). 23 International Symposium on Biomechanics in Sports-conference proceedings archive, (pp. 387-390). Beijing, China
Ley, C., Dominicy, Y., & Bruneel, W. (2018). Mutual point-winning probabilities (MPW): a new performance measure for table tennis. Journal of Sports Sciences, 36(23), 2684-2690. https://doi.org/10.1080/02640414.2017.1400261
Marcus, D. J. (2001). New Table‐Tennis Rating System. Journal of the Royal Statistical Society: Series D (The Statistician), 50(2), 191-208.
Ming, C. L., Keong, C. C., & Ghosh, A. K. (2008). Time motion and notational analysis of 21 point and 15 point badminton match play. International Journal of Sports Science and Engineering, 2(4), 216-222.
Pérez-Turpin, J. A., Elvira-Aranda, C., Cabello-Manrique, D., Gomis-Gomis, M. J., Suárez-Llorca, C., & Andreu-Cabrera, E. (2020). Notational Comparison Analysis of Outdoor Badminton Men's Single and Double Matches. Journal of Human Kinetics, 71, 267-273. https://doi.org/10.2478/hukin-2019-0121
Pfeiffer, M., Zhang, H., & Hohmann, A. (2010). A Markov chain model of elite table tennis competition. International Journal of Sports Science & Coaching, 5(2), 205-222.
Phomsoupha, M., & Laffaye, G. (2015). The science of badminton: game characteristics, anthropometry, physiology, visual fitness and biomechanics. Sports Medicine, 45(4), 473-495. https://doi.org/10.1007/s40279-014-0287-2
Torres-Luque, G., Fernández-García Á, I., Blanca-Torres, J. C., Kondric, M., & Cabello-Manrique, D. (2019). Statistical Differences in Set Analysis in Badminton at the RIO 2016 Olympic Games. Frontiers in Psychology, 10, 731. https://doi.org/10.3389/fpsyg.2019.00731
Zhang, B., Li, F., & Jiang, W. (2013). Mixed doubles match technical and tactical analysis of world badminton champion based on mathematical statistics. Advances in Physical Education, 3(4), 154-157.