Evaluation of Tennis Match Data - New Acquisition Model

Djurovic, Niksa; Lozovina, Vinko; Pavičić, Leo

doi:10.2478/v10078-09-0002-9

Cited by 12 publications

(10 citation statements)

References 18 publications

(6 reference statements)

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“…Many researchers have sought to identify performance indicators that describe and explain effective players’ behaviours during the competition. In racket sports, points and error distribution allow to characterize players’ performance (i.e., profiling), predicting a match outcome and game success ( Djurovic et al, 2009 ; Katic et al, 2009 ; O’Donoghue, 2015; O’Donoghue and Ingram, 2001 ). Recently, Courel-Ibáñez et al (2015 ) examined winners and losers’ effectiveness from 15 games of top 16 male padel players, finding on average 44.3% of points (49.1% for winners) and 55.7% of errors (50.9% for winners).…”

Section: Introductionmentioning

confidence: 99%

Game Performance and Length of Rally in Professional Padel Players

Courel-Ibáñez

Martínez

Cañas

2017

Journal of Human Kinetics

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The purpose of this study was to analyse differences in rally length considering attack effectiveness, a players’ location and a game outcome in professional padel players. A total of 1527 rallies from 10 male matches of the 2013 Masters Finals of the World Padel Tour were registered through systematic observation. Data treatment included non-parametric mean comparisons (Mann-Withney and Kruskal-Wallis tests), and association analyses (crosstabs and Chi square analysis). In overall, 40% of unforced errors were made within the first 4 s of the rally, over 50% of points were scored between the 5th and 11th s, and 30% of forced errors occurred after the 11th –s of the rally. Hence, the ability to score in rallies of over 11 s duration and not making unforced errors within the first 4 s contributed to the rally outcome. More specifically, winners played longer rallies compared to losers (10.42 ± 7.77 s vs. 8.42 ± 6.43 s); particularly at the net, when scoring from the baseline (11.04 ± 7.64 s vs. 8.90 ± 5.41 s) and making forced (8.86 ± 7.44 s vs. 6.86 ± 6.24 s) and unforced errors (11.91 ± 9.47 s vs. 8.33 ± 6.92 s). Such knowledge may have implications in the design and structure of specific training programmes for padel players according to competition requirements.

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Section: Introductionmentioning

confidence: 99%

Game Performance and Length of Rally in Professional Padel Players

Courel-Ibáñez

Martínez

Cañas

2017

Journal of Human Kinetics

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“…In the case of tennis, many investigations have used observational methodology in the match and notational analysis to obtain information about aspects such as performance indicators (Djurovic et al, 2009; Katić et al, 2011; Cui et al, 2018), service effectiveness and returns (Gillet et al, 2009; Hizan et al, 2011; Martin et al, 2016), tactical aspects (Over and O'Donoghue, 2010; Cross and Pollard, 2011; Reid et al, 2016), or the displacements and the position of players on the tennis court (Martínez-Gallego et al, 2013; Pereira et al, 2017). Sometimes these data are downloaded directly from the official websites of the tournaments and in others, the researchers are the ones who perform the data collection through observation.…”

Section: Introductionmentioning

confidence: 99%

Design and Validation of an Observational Instrument for the Technical-Tactical Actions in Singles Tennis

et al. 2018

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The competitive performance in tennis practice is determined by the effectiveness of technical tactical action. The main objective of the present study was to design and validate an observational instrument with the aim of analysing the technical-tactical in singles tennis. The instrument uses the stroke as a unit of measure, so that each time a player hits a ball, a total of 23 variables are analyzed. The variables collect information about: (a) matching context; (b) result; and (c) technical-tactical information of the stroke (five variables: sequences of the stroke of the point, kind of technical and tactical stroke, bounce area, hitting, and effectiveness area). The design and validation of the instrument consisted on five different stages: (a) review of the scientific literature and variables definition by experts, (b) pilot observation study, (c) qualitative and quantitative assessment of the instrument by experts, (d) review and confirmation of the instrument by experts (content validity), and (e) observation training and reliability evaluation. From 23 expert judges, divided into three panels, and four observers the instrument went from being composed of 38 variables (eight contextual, seven related to the result and 23 related to the game) to 23 (eight contextual variables, 10 of result and five of game), with minimum Aikens's V values of 0.94 and reliability of 0.81. The results show that the designed instrument allows obtaining valid and objective information about the technical-tactical actions of the players and their performance in singles tennis

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“…Similarly, Le Runigo et al (2005 , 2010 ) reported that advanced tennis players had shorter visual-motor delays than novices in an interception task with deviated trajectories, with typical values below 0.200 s. Carboch et al (2014 ) found that the response time of the returner in realistic conditions was longer than when using a ball machine. Fernandez-Fernandez et al (2008 ) in six returners measured the response time at between 0.161 and 0.237 s. Djurovic et al (2009 ) found non-significant differences between the forehand (0.132 ± 0.46 s) and backhand return of the serve (0.156 ± 0.51 s) and measured the longest response time in so-called reprogramming strokes (0.297 ± 0.121 s).…”

Section: Discussionmentioning

confidence: 94%

“…In addition, they possess greater knowledge of situational probabilities or expectational information ( Katic et al, 2011 ; O’Donoghue, 2006 ). Djurovic et al (2009 ) found some differences between serve-return shots concerning the time of the occurrence of lateral racquet displacement, the amplitude of the racquet movement and the average latency time.…”

Section: Introductionmentioning

confidence: 99%

Split-Step Timing of Professional and Junior Tennis Players

Filipčič

Leskošek

Filipčić

2017

Journal of Human Kinetics

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The purpose of the study was to determine the timing of a split-step in three categories of tennis players in four groups of strokes. Subjects were divided into three groups: male and female junior, and male professional tennis players. During two tournaments, all matches were recorded with two fixed video cameras. For every stroke, the timing of the split-step between the opponent’s impact point when hitting the ball and the player’s split-step was measured. A two-way analysis of variance (ANOVA) was used to determine the differences between groups of strokes, players and the interaction Player x Stroke Group. A Tukey post-hoc test was employed to determine specific differences. The results revealed differences between players in detecting the opponent’s movement, stroke and ball flight, which were reflected in different split-step timings. Each tennis player has his/her own timing mechanism which they adapt to various game situations. Response times differ significantly depending on the game situation. On average, they are the lowest in the serve, and then gradually rise from the return of the serve to baseline game, reaching the highest values in specific game situations. Players react faster in the first serve than in the second one and in the return of the serve, the response times are lower after the return of the second serve

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Evaluation of Tennis Match Data - New Acquisition Model

Abstract: The purpose of this research was to analyze and interpret the latent (factor) area of a tennis match. The entities in this research

Cited by 12 publications

References 18 publications

Game Performance and Length of Rally in Professional Padel Players

Game Performance and Length of Rally in Professional Padel Players

Design and Validation of an Observational Instrument for the Technical-Tactical Actions in Singles Tennis

Split-Step Timing of Professional and Junior Tennis Players

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