Performance analysis in tennis since 2000
A systematic review focused on the methods of data collection
Keywords:
tracking, video recording, data mining, websites, broadcastingAbstract
In tennis, performance analysis has advanced primarily as notational analysis. And analytical techniques markedly advanced, particularly in the fields of notational analysis and match analysis. In tennis, the Hawk-Eye system was introduced to tour tournaments in 2002. It has recently become used for player tracking and post-match analysis, there are a number of papers using Hawk-Eye data. Along with the development such measuring devices, technologies for analysis of a vast amount of data collected with these devices (big data) have also been developed. In particular, analysis by machine learning using AI was developed in the field of engineering, and it is also increasingly adopted in the field of sports. In the present review, we aimed to clarify the direction of research on performance analysis of tennis by organizing the trend of studies of performance analysis after 2000 with particular attention to the methods of data collection in the hope of furthering the development of this field. As a result of search of reports concerning performance analysis of tennis published after 2000 with particular interest in data collection methods, 90 papers were retrieved. The papers were classified into primary and secondary data collection, and subclassified into six categories, i.e., tracking, video recording, data mining, observations of coaches, websites, and broadcasting. This review of the papers in different categories may aid in developing future directions of research in the field of performance analysis in tennis.
References
ATP TOUR.com (online) Nitto ATP Finals | Results | ATP Tour | Tennis. https://www.atptour.com/en/scores/current/nitto-atp-finals/605/results?
Bane, M., Reid, M., & Morgan, S. (2014). Has player development in men’s tennis really changed? An historical rankings perspective. Journal of Sports Sciences, 32(15), 1477-1484. https://doi.org/10.1080/02640414.2014.899706
Bartlett, R. (2001). Performance analysis: can bringing together biomechanics and notational analysis benefit coaches? International Journal of Performance Analysis in Sport, 1(1), 122-126. https://doi.org/10.1080/24748668.2001.11868254
Breznik, K. (2013). On the gender effects of handedness in professional tennis. Journal of Sports Science and Medicine, 12(2), 346-353. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3761843/
Carboch, J., Blau, M., Sklenarik, M., Siman, J., & Placha, K. (2020). Ball change in tennis: How does it affect match characteristics and rally pace in Grand Slam tournaments?. Journal of Human Sport and Exercise, 15(1), 153-162. https://doi.org/10.14198/jhse.2020.151.14
Carboch, J., & Placha, K. (2018a). Development of rally pace and other match characteristics in women's matches in the Australian open 2017. Journal of Physical Education and Sport, 18(2), 1079-1083. https://doi.org/10.7752/jpes.2018.s2161
Carboch, J., Placha, K., & Sklenarik, M. (2018b). Rally pace and match characteristics of male and female tennis matches at the Australian Open 2017. Journal of Human Sport and Exercise, 13(4), 743-751. https://doi.org/10.14198/jhse.2018.134.03
Carboch, J., Siman, J., Sklenarik, M., & Blau, M. (2019). Match characteristics and rally pace of male tennis matches in three grand slam tournaments. Physical Activity Review, 7, 49-56. https://doi.org/10.16926/par.2019.07.06
Carvalho, J., Araújo, D., Travassos, B., Esteves, P., Pessanha, L., Pereira, F., & Davids, K. (2013). Dynamics of players’ relative positioning during baseline rallies in tennis. Journal of Sports Sciences, 31(14), 1596-1605. https://doi.org/10.1080/02640414.2013.792944
Carvalho, J., Araújo, D., Travassos, B., Fernandes, O., Pereira, F., & Davids, K. (2014). Interpersonal Dynamics in Baseline Rallies in Tennis. International Journal of Sports Science & Coaching, 9(5), 1043-1056. https://doi.org/10.1260/1747-9541.9.5.1043
Connaghan, D., Moran, K., & O'Connor, N. E. (2013). An automatic visual analysis system for tennis. Proceedings of The Institution of Mechanical Engineers Part P-Journal of Sports Engineering and Technology, 227(4), 273-288. https://doi.org/10.1177/1754337112469330
Cui, Y., Gomez, MA., Goncalves, B., Liu, H., & Sampaio, J. (2017). Effects of experience and relative quality in tennis match performance during four Grand Slams. International Journal of Performance Analysis in Sport, 17(5), 783-801. https://doi.org/10.1080/24748668.2017.1399325
Cui, Y., Gómez, M. Á., Gonçalves, B., & Sampaio, J. (2018). Performance profiles of professional female tennis players in grand slams. PLOS One, 13(7), e0200591. https://doi.org/10.1371/journal.pone.0200591
Cui, Y., Gomez, MA., Goncalves, B., & Sampaio, J. (2019). Clustering tennis players' anthropometric and individual features helps to reveal performance fingerprints. European Journal of Sport Science, 19(8), 1032-1044. https://doi.org/10.1080/17461391.2019.1577494
Cui, Y., Liu, H., Gómez, MÁ., Liu, H., & Gonçalves, B. (2020a). Set-to-set Performance Variation in Tennis Grand Slams: Play with Consistency and Risks. Journal of Human Kinetics, 73(1), 153-163. https://doi.org/10.2478/hukin-2019-0140
Cui, Y., Zhao, Y., Liu, H., Gómez, M. Á., Wei, R., & Liu, Y. (2020b). Effect of a seeding system on competitive performance of elite players during major tennis tournaments. Frontiers in Psychology, 11, 1294. https://doi.org/10.3389/fpsyg.2020.01294
Damani, C., Damani, B., & Bagchi, A. (2020). Match statistics significant to win the initial and intense rounds of a tennis tournament. TRENDS in Sport Sciences, 27(4), 225-231. https://doi.org/10.23829/TSS.2020.27.4-6
Djurovic, N., Lozovina, V., & Pavicic, L. (2009). Evaluation of tennis match data - new acquisition model. Journal of Human Kinetics, 21, 15-21. https://doi.org/10.2478/v10078-09-0002-9
Edelmann-Nusser, A., Raschke, A., Bentz, A., Montenbruck, S., Edelmann-Nusser, J., & Lames, M. (2019). Validation of sensor-based game analysis tools in tennis. International Journal of Computer Science in Sport, 18(2), 49-59. https://doi.org/10.2478/ijcss-2019-0013
Fagan, F., Haugh, M., & Cooper, H. (2019). The advantage of lefties in one-on-one sports. Journal of Quantitative Analysis in Sports, 15(1), 1-25. https://doi.org/10.1515/jqas-2017-0076
Fernandes, M. A. (2017). Using Soft Computing Techniques for Prediction of Winners in Tennis Matches. Machine Learning Research, 2(3), 86-98. https://doi.org/10.11648/j.mlr.20170203.12
Fernández-García, A. I., Giménez-Egido, J. M., & Torres-Luque, G. (2021). Differences in Grand Slam competition statistics between professional and U-18 players according to the sex. Revista Internacional de Ciencias del Deporte, 17(63), 25-37. https://doi.org/10.5232/ricyde2021.06303
Figueroa, P. J., Leite, N. J., & Barros, R. M. L. (2006). Tracking soccer players aiming their kinematical motion analysis. Computer Vision and Image Understanding, 101(2), 122–135. https://doi.org/10.1016/j.cviu.2005.07.006
Filipcic, A., Zecic, M., Reid, M., Crespo, M., Panjan, A., & Nejc, S. (2015). Differences in performance indicators of elite tennis players in the period 1991-2010. Journal of Physical Education & Sport, 15(4), 671-677. https://doi.org/10.7752/jpes.2015.04102
Fitzpatrick, A., Davids, K., & Stone, J. A. (2017). Effects of Lawn Tennis Association mini tennis as task constraints on children's match-play characteristics. Journal of Sports Sciences, 35(22), 2204-2210. https://doi.org/10.1080/02640414.2016.1261179
Fitzpatrick, A., Stone, JA., Choppin, S., & Kelley, J. (2019a). A simple new method for identifying performance characteristics associated with success in elite tennis. International Journal of Sports Science & Coaching, 14(1), 43-50. https://doi.org/10.1177/1747954118809089
Fitzpatrick, A., Stone, J. A., Choppin, S., & Kelley, J. (2019b). Important performance characteristics in elite clay and grass court tennis match-play. International Journal of Performance Analysis in Sport, 19(6), 942-952. https://doi.org/10.1080/24748668.2019.1685804
Floyd, C. M., Hoffman, M., & Fokoue, E. (2020). Shot-by-shot stochastic modeling of individual tennis points. Journal of Quantitative Analysis in Sports, 16(1), 57-71. https://doi.org/10.1515/jqas-2018-0036
Ganser, A., Hollaus, B., & Stabinger, S. (2021). Classification of Tennis Shots with a Neural Network Approach. Sensors, 21(17), 5703. https://doi.org/10.3390/s21175703
Gillet, E., Leroy, D., Thouvarecq, R., & Stein J. F. (2009). A notational analysis of elite tennis serve and serve-return strategies on slow surface. Journal of Strength Conditioning and Research, 23(2), 532-539. https://doi.org/10.1519/JSC.0b013e31818efe29
Grambow, R., O'shannessy, C., Born, P., Meffert, D., & Vogt, T. (2020). Serve efficiency development at Wimbledon between 2002 and 2015: A longitudinal approach to impact tomorrow's tennis practice. Human Movement, 21(1), 65-72. https://doi.org/10.5114/hm.2020.88155
Grambow, R., O’Shannessy, C., Born, P., Meffert, D., & Vogt, T. (2021). Serve efficiency development indicates an extended women’s tennis world class cohort: Analysing 14 years of Ladies Wimbledon Championships - implications for coaching. Human Movement, 22(2), 43-52. https://doi.org/10.5114/hm.2021.100011
Gu, W., & Saaty, T. L. (2019). Predicting the outcome of a tennis tournament: based on both data and judgments. Journal of Systems Science and Systems Engineering, 28(3), 317-343. https://doi.org/10.1007/s11518-018-5395-3
hawkeyeinnovations.com (online) Hawk-Eye innovations. https://resources.platform.pulselive.com/HawkEye/document/2016/07/29/ec84be34-2375-4b5a-8854-917e0e7021f0/HawkEyeinTennis2016.pdf, (accessed 2021-10-8).
Hizan, H., Whipp, P., & Reid, M. (2010). Validation of Match Notation (A Coding System) in Tennis. Journal of Quantitative Analysis in Sports, 6(3), 1-13, https://doi.org/10.2202/1559-0410.1223
Hizan, H., Whipp, P., & Reid, M. (2011). Comparison of serve and serve return statistics of high performance male and female tennis players from different age-groups. International Journal of Performance Analysis in Sport, 11(2), 365-375. https://doi.org/10.1080/24748668.2011.11868556
Hizan, H., Whipp, P., & Reid, M. (2015). Gender differences in the spatial distributions of the tennis serve. International Journal of Sports Science & Coaching, 10(1), 87-96. https://doi.org/10.1260/1747-9541.10.1.87
Hizan, H., Whipp, P., Reid, M., & Wheat, J. (2014). A comparative analysis of the spatial distributions of the serve return. International Journal of Performance Analysis in Sport, 14(3), 884-893, https://doi.org/10.1080/24748668.2014.11868765
Hughes, M. (1998). The application of notational analysis to racket sports. In A. Lees, J. Kahn, & I. W. Maynard (Eds.), Science and Racket Sports III (pp. 211-220). London: E & FN Spon.
Hughes, M., & Franks, I. (2004a). Notational analysis – a review of the literature. In M. Hughes, & I. Franks (Eds.), Notational Analysis of Sport (2nd ed., pp. 59-106). London: Routledge.
Hughes, M., & Franks, I. (2004b). From analysis to coaching. In M. Hughes, & I. Franks (Eds.), Notational Analysis of Sport (2nd ed., pp. 257-271). London: Routledge.
Ingram, M. (2019). A point-based Bayesian hierarchical model to predict the outcome of tennis matches. Journal of Quantitative Analysis in Sports, 15(4), 313-325. https://doi.org/10.1515/jqas-2018-0008
Jans, W. (2007). The Time Structure of Female Tennis Players During the Grand Slam Tournaments. Research Yearbook, 13(2), 230-234.
Johnson, C. D., McHugh, M. P. (2006). Performance demands of professional male tennis players. British Journal of Sports Medicine, 40(8), 696-699. https://doi.org/10.1136/bjsm.2005.021253
Kashiwagi, R., Okamura, S., Iwanaga, S., Murakami, S., Numata, K. & Takahashi, H. (2021). The differences in the ball speed and the spin rate depending on the results of a tennis serve. Malaysian Journal of Movement, Health & Exercises, 10(1), 48-50. https://doi.org/10.4103/2231-9409.328217
Kim, H., Cai, F., Ryu, J., Haddad, J. M., & Zelaznik, H. N. (2015). Tennis match time Series do not exhibit long term correlations. International Journal of Sport Psychology, 46(6), 542-554. https://doi.org/10.7352/IJSP.2015.46.542
Klaassen, F. J. G. M., & Magnus, J. R. (2001). Are points in tennis independent and identically distributed? Evidence from a dynamic binary panel data model. Journal of the American Statistical Association, 96(454), 500-509. https://doi.org/10.1198/016214501753168217
Klaassen, F. J. G. M., & Magnus, J. R. (2003). Forecasting the winner of a tennis match. European Journal of Operational Research, 148(2), 257-267. https://doi.org/10.1016/S0377-2217(02)00682-3
Klaassen, F. J. G. M., & Magnus, J. R. (2009). The efficiency of top agents: An analysis through service strategy in tennis. Journal of Econometrics, 148(1), 72-85. https://doi.org/10.1016/j.jeconom.2008.09.036
Klaus, A., Bradshaw, R., Young, W., O'Brien, B., & Zois, J. (2017). Success in national level junior tennis: Tactical perspectives. International Journal of Sports Science & Coaching, 12(5), 618-622. https://doi.org/10.1177/1747954117727792
Kolbinger, O., & Lames, M. (2013). Ball trajectories in tennis - Lateral and vertical placement of right-handed men's singles serves. International Journal of Performance Analysis in Sport, 13(3), 750-758. https://doi.org/10.1080/24748668.2013.11868686
Kovalchik, S. A. (2014). The older they rise the younger they fall: age and performance trends in men's professional tennis from 1991 to 2012. Journal of Quantitative Analysis in Sports, 10(2), 99-107. https://doi.org/10.1515/jqas-2013-0091
Kovalchik, S. A. (2016). Is there a Pythagorean theorem for winning in tennis?. Journal of Quantitative Analysis in Sports, 12(1), 43-49. https://doi.org/10.1515/jqas-2015-0057
Kovalchik, S. A., & Albert, J. (2017). A multilevel Bayesian approach for modeling the time-to-serve in professional tennis. Journal of Quantitative Analysis in Sports, 13(2), 49-62. https://doi.org/10.1515/jqas-2016-0091
Kovalchik, S. A., & Reid, M. (2017). Comparing matchplay characteristics and physical demands of junior and professional tennis athletes in the era of big data. Journal of Sports Science and Medicine, 16(4), 489-497.
Kovalchik, S., Bane, M., & Reid, M. (2017). Getting to the top: an analysis of 25 years of career rankings trajectories for professional women's tennis. Journal of Sports Sciences, 35(19), 1-7. https://doi.org/10.1080/02640414.2016.1241419
Kovalchik, S. A., & Ingram, M. (2018). Estimating the duration of professional tennis matches for varying formats. Journal of Quantitative Analysis in Sports, 14(1), 13-23. https://doi.org/10.1515/jqas-2017-0077
Kovalchik, S., & Reid, M. (2018). A shot taxonomy in the era of tracking data in professional tennis. Journal of Sports Sciences, 36(18), 2096-2104. https://doi.org/10.1080/02640414.2018.1438094
Lara, J. P. R., Vieira, C. L. R., Misuta, M. S., Moura, F. A., & de Barros, R. M. L. (2018). Validation of a video-based system for automatic tracking of tennis players. International Journal of Performance Analysis in Sport, 18(1), 137-150. https://doi.org/10.1080/24748668.2018.1456886
Lees, A. (2003). Science and the major racket sports: a review. Journal of Sports Sciences, 21(9), 707-732. https://doi.org/10.1080/0264041031000140275
Li, M., Li, Q., Li, Y., Cui, Y., Zhao, X., & Guo, L. (2021). Analysis of characteristics of tennis singles matches based on 5G and data mining technology. Security and Communication Networks, 5549309. https://doi.org/10.1155/2021/5549309
Li, P., Weissensteiner, J. R., Pion, J., & Bosscher, V. D. (2020). Predicting elite success: Evidence comparing the career pathways of top 10 to 300 professional tennis players. International Journal of Sports Science & Coaching, 15, 793-802. https://doi.org/10.1177/1747954120935828
Liebermann, D. G., Katz, L., Hughes, M. D., Bartlett, R. M., McClements, J. & Franks, I. M. (2002). Advances in the application of information technology to sports performance. Journal of Sports Sciences, 20(10), 755-769. https://doi.org/10.1080/026404102320675611
Loffing, F., Hagemann, N., & Strauss, B. (2010). Automated processes in tennis: do left-handed players benefit from the tactical preferences of their opponents?. Journal of Sports Sciences, 28(4), 435-443. https://doi.org/10.1080/02640410903536459
Ma, S. M., Liu, C. C., Tan, Y., & Ma, S. C. (2013). Winning matches in Grand Slam men's singles: An analysis of player performance-related variables from 1991 to 2008. Journal of Sports Sciences, 31(11), 1147-1155. https://doi.org/10.1080/02640414.2013.775472
Makino, M., Odaka, T., Kuroiwa, J., Suwa, I., & Shirai, H. (2020). Feature selection to win the point of ATP tennis players using rally information. International Journal of Computer Science in Sport, 19(1), 37-50. https://doi.org/10.2478/ijcss-2020-0003
Martin-Lorente, E., Campos, J., & Crespo, M. (2017). The inside out forehand as a tactical pattern in men's professional tennis. International Journal of Performance Analysis in Sport, 17(4), 429-441. https://doi.org/10.1080/24748668.2017.1349528
Martin, C., Bideau, B., Touzard, P., & Kulpa, R. (2019). Identification of serve pacing strategies during five-set tennis matches. International Journal of Sports Science & Coaching, 14(1), 32-42. https://doi.org/10.1080/24748668.2017.1349528
Martínez-Gallego, R., Crespo, M., Ramón-Llin, J., Micó, S., & Guzmán, J. F. (2020). Men's doubles professional tennis on hard courts: Game structure and point ending characteristics. Journal of Human Sport & Exercise, 15(3), 633-642. https://doi.org/10.14198/jhse.2020.153.13
Martinez-Gallego, R., Guzman, J. F., Crespo, M., Ramon-Llin, J., &Vuckovic, G. (2019). Technical, tactical and movement analysis of men's professional tennis on hard courts. Journal of Sports Medicine and Physical Fitness, 59(1), 50-56. https://doi.org/10.23736/S0022-4707.17.07916-6
Martinez-Gallego, R., Guzman, J. F., James, N., Pers, J., Ramon-Llin, J., & Vuckovic, G. (2013a). Movement characteristics of elite tennis players on hard courts with respect to the direction of ground strokes. Journal of Sports Science and Medicine, 12(2), 275-281.
Martínez-Gallego, R., Guzmán, J. F., James, N., Ramón-Llin, J., Crespo, M., & Vuckovic, G. (2013b). The relationship between the incidence of winners/errors and the time spent in different areas of the court in elite tennis. Journal of Human Sport & Exercise, 8(3), S601-607, http://doi.org/10.4100/jhse.2013.8.Proc3.05
Martínez-Gallego, R., Vives, F., Guzmán, J. F., Ramón-Llin, J., & Crespo, M. (2021). Time structure in men's professional doubles tennis: does team experience allow finishing the points faster? International Journal of Performance Analysis in Sport, 21(2), 215-225. http://doi.org/10.1080/24748668.2021.1872218
Mecheri, S., Rioult, F., Mantel, B., Kauffmann, F., & Benguigui, N. (2016). The serve impact in tennis: First large-scale study of big Hawk-Eye data. Statistical Analysis and Data Mining: The ASA Data Science Journal, 9, 310-325. https://doi.org/10.1002/sam.11316
Mergheş, P. E., Simion, B., & Nagel, A. (2014). Comparative analysis of return of serve as counter-attack in modern tennis. Timisoara Physical Education & Rehabilitation Journal, 6(12), 18-22. http://doi.org/10.2478/tperj-2014-0023
Meurs, E. V., Buszard, T., Kovalchik, S., Farrow, D., & Reid, M. (2021). Interpersonal coordination in tennis: assessing the positional advantage index with Australian Open Hawkeye data. International Journal of Performance Analysis in Sport, 21(1), 22-32. https://doi.org/10.1080/24748668.2020.1843213
Murata, M., & Takahashi, H. (2020). Verification of the accuracy and reliability of the TrackMan tennis radar. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 235(2), 154-160. https://doi.org/10.1177/1754337120953005
Myers, N. L., Kibler, W. B., Axtell, A. H., & Uhl, T. L. (2019). The Sony Smart Tennis Sensor accurately measures external workload in junior tennis players. International Journal of Sports Science & Coaching, 14(1), 24-31. https://doi.org/10.1177/1747954118805278
Newton, P., & Aslam, K. (2009). Monte Carlo Tennis: A Stochastic Markov Chain Model. Journal of Quantitative Analysis in Sports, 5(3), 7. https://doi.org/10.2202/1559-0410.1169
Nowak, M., & Panfil, R. (2012). Scoring abilities in the game of tennis - a pragmatic study of unique cases. Human Movement, 13(4), 313-322. https://doi.org/10.2478/v10038-012-0036-z
O'Donoghue, P. (2001). The most important points in Grand Slam singles tennis. Research Quarterly for Exercise and Sport, 72(2), 125-131. https://doi.org/10.1080/02701367.2001.10608942
O’Donoghue, P. (2004). Match analysis in racket sports. In A. Lees, J. Kahn, & I. W. Maynard (Eds.), Science and Racket Sports III (pp. 155-162). London: Routledge.
O’Donoghue, P. (2010). Research methods for sports performance analysis. London: Routledge.
O'Donoghue, P. (2012). Break points in Grand Slam men's singles tennis. International Journal of Performance Analysis in Sport, 12(1), 156-165. https://doi.org/10.1080/24748668.2012.11868591
O'Donoghue, P. (2013). Rare events in tennis. International Journal of Performance Analysis in Sport, 13(2), 535-552. https://doi.org/10.1080/24748668.2013.11868668
O’Donoghue, P., Girard, O. & Reid, M. (2013). Racket Sports. In T. McGarry, P. O’Donoghue, & J. Sampaio (Eds.), Routledge Handbook of Sports Performance Analysis (pp. 404-414). London: Routledge.
O'Donoghue, P., & Ingram, B. (2001). A notational analysis of elite tennis strategy. Journal of Sports Sciences, 19(2), 107-115. https://doi.org/10.1080/026404101300036299
O'Donoghue, P., & Simmonds, E. (2019). Probability of winning and match length in Tiebreak Ten tennis. International Journal of Performance Analysis in Sport, 19(3), 402-416. https://doi.org/10.1080/24748668.2019.1615296
Pereira, T. J. C., Nakamura, F. Y., de Jesus, M. T., Vieira, C. L. R., Misuta, M. S., de Barros, R. M. L., & Moura, F. A. (2017). Analysis of the distances covered and technical actions performed by professional tennis players during official matches. Journal of Sports Sciences, 35(4), 361-368. https://doi.org/10.1080/02640414.2016.1165858
Pereira, T. J. C., van Emmerik, R. E. A., Misuta, M. S., Barros, R. M. L., & Moura, F. A. (2018). Interpersonal coordination analysis of tennis players from different levels during official matches. Journal of Biomechanics, 67, 106-113. https://doi.org/10.1016/j.jbiomech.2017.11.036
Pickering, C., & Byrne, J. (2014). The benefits of publishing systematic quantitative literature reviews for PhD candidate and other early-career researchers. Higher Education Research & Development, 33(3), 534-548. https://doi.org/10.1080/07294360.2013.841651
Polk, T., Yang, J., Hu, YQ., & Zhao, Y. (2014). TenniVis: Visualization for tennis match analysis. IEEE Transactions on Visualization and Computer Graphics, 20(12), 2339-2348. https://doi.org/10.1109/TVCG.2014.2346445
Pollard, G., Cross, R., & Meyer, D. (2006). An analysis of ten years of the four grand slam men's singles data for lack of independence of set outcomes. Journal of Sports Science and Medicine, 5(4), 561-566. https://www.jssm.org/jssm-05-561.xml>Fulltext#
Prieto-Bermejo, J., & Gómez-Ruano, M. Á. (2016). Entering tennis men's Grand Slams within the top-10 and its relationship with the fact of winning the tournament. Revista Internacional de Ciencias del Deporte, 12(46), 411-422. https://doi.org/10.5232/ricyde2016.04605
Prieto-Lage, I., Prieto, M. A., Curran, T. P., & Gutierrez-Santiago, A. (2018). An accurate and rapid system to identify play patterns in tennis using video recording material: Break point situations as a case study. Journal of Human Kinetics, 62(1), 199-212. https://doi.org/10.1515/hukin-2017-0170
Reid, M., McMurtrie, D., & Crespo, M. (2010). The relationship between match statistics and top 100 ranking in professional men's tennis. International Journal of Performance Analysis in Sport, 10(2), 131-138. https://doi.org/10.1080/24748668.2010.11868509
Reid, M., Morgan, S., & Whiteside, D. (2016). Matchplay characteristics of Grand Slam tennis: implications for training and conditioning. Journal of Sports Sciences, 34(19), 1791-1798. https://doi.org/10.1080/02640414.2016.1139161
Schmidhofer, S., Leser, R., & Ebert, M. (2014). A comparison between the structure in elite tennis and kids tennis on scaled courts (Tennis 10s). International Journal of Performance Analysis in Sport, 14(3), 829-840. https://doi.org/10.1080/24748668.2014.11868761
Sogut, M. (2018). Stature: Does it really make a difference in match-play outcomes among professional tennis players?. International Journal of Performance Analysis in Sport,18(2), 255-261. https://doi.org/10.1080/24748668.2018.1466259
Stare, M., Žibrat, U., & Filipčič, A. (2015). Stroke effectiveness in professional and junior tennis. Kinesiologia Slovenica, 21(2), 39-50.
Stefani, R. (2020) A longitudinal analysis of the differential performances of seeded male and female Grand Slam tennis players. The Sport Journal, 21. https://thesportjournal.org/article/a-longitudinal-analysis-of-the-differential-performances-of-seeded-male-and-female-grand-slam-tennis-players/
Torres-Luque, G., Fernández-García, Á. I., Cabello-Manrique, D., Giménez-Egido, J. M., & Ortega-Toro, E. (2018). Design and validation of an observational instrument for the technical-tactical actions in singles tennis. Frontiers in Psychology, 9, 2418. https://doi.org/10.3389/fpsyg.2018.02418
Tudor, P. B., Zecic, M., & Matkovic, B. (2014). Differences between 2010 and 2011 performance indicators of tennis play at the grand slam tournaments. Kinesiology, 46, 101-106.
Vaverka, F., & Cernosek, M. (2013). Association between body height and serve speed in elite tennis players. Sports Biomechanics, 12(1), 30-37. https://doi.org/10.1080/14763141.2012.670664
Vaverka, F., Nykodym, J., Hendl, J., Zhanel, J., & Zahradnik, D. (2018). Association between serve speed and court surface in tennis. International Journal of Performance Analysis in Sport, 18(2), 262-272. https://doi.org/10.1080/24748668.2018.1467995
Wei, X. Y., Lucey, P., Morgan, S., & Sridharan, S. (2016). Forecasting the next shot location in tennis using fine-grained spatiotemporal tracking data. IEEE Transactions on Knowledge and Data Engineering, 28(11), 2988-2997. https://doi.org/10.1109/TKDE.2016.2594787
Whiteside, D. & Reid, M. (2017). Spatial characteristics of professional tennis serves with implications for serving aces: A machine learning approach. Journal of Sports Sciences, 35(7), 648-654. https://doi.org/10.1080/02640414.2016.1183805
Yamaguchi, S., Oshimi, D., & Fukuhara, T. (2018). The impact of sport events on a host region: A literature review. Japan Journal of Physical Education, Health and Sport Sciences, 63, 13-32. https://doi.org/10.5432/jjpehss.17065
Yu, X. G., Jiang, N. J., Cheong, L. F., Leong, H. W., & Yan, X. (2009). Automatic camera calibration of broadcast tennis video with applications to 3D virtual content insertion and ball detection and tracking. Computer Vision and Image Understanding, 113(5), 643-652. https://doi.org/10.1016/j.cviu.2008.01.006