A Correlation Study of Nadal's and Federer's Technical Indicators in Different Tennis Arenas

Similar documents
The Analysis and Conclusion of 2015 Chinese Badminton Team s Result in Sudirman Cup Qi-Qi ZHANG

Investigation of Winning Factors of Miami Heat in NBA Playoff Season

BioTechnology. An Indian Journal FULL PAPER. Trade Science Inc.

BioTechnology. BioTechnology. An Indian Journal FULL PAPER KEYWORDS ABSTRACT. Based on TOPSIS CBA basketball team strength statistical analysis

Methods of Improving College Students' Tennis Techniques in Tennis Teaching

Basketball field goal percentage prediction model research and application based on BP neural network

The World Olympics Competition and Chinese Advantage Projects

Journal of Chemical and Pharmaceutical Research, 2014, 6(3): Research Article

2017 International Conference on Advanced Education, Psychology and Sports Science (AEPSS 2017)

2013 Australian open women s singles champion and runner-up technical and tactics features research based on mathematical statistic analysis

The Kinematics Analysis of Wu Yibing's Tennis Forehand Technique Xin WEN, Ji-he ZHOU and Chuan-jia DU

The Use of Rank-sum Ratio on the Attack and Defensive Ability of the Top 8 Men s Basketball Competition in the 16th Asian Games

Computer diagnostics for the analysis of table tennis matches *

2nd International Conference on Management Science and Industrial Engineering (MSIE 2013)

Journal of Chemical and Pharmaceutical Research, 2014, 6(3): Research Article

THE PLAYING PATTERN OF WORLD S TOP SINGLE BADMINTON PLAYERS

BODY HEIGHT AND CAREER WIN PERCENTAGE IN RELATION TO SERVE AND RETURN GAMES EFFECTIVENESS IN ELITE TENNIS PLAYERS

How the interpretation of match statistics affects player performance

THE APPLICATION OF BASKETBALL COACH S ASSISTANT DECISION SUPPORT SYSTEM

Principal component factor analysis-based NBA player comprehensive ability evaluation research

Keywords: multiple linear regression; pedestrian crossing delay; right-turn car flow; the number of pedestrians;

The Economic Factors Analysis in Olympic Game

Research and Survey on Development of Qingdao Amateur Tennis Matches

Numerical simulation of three-dimensional flow field in three-line rollers and four-line rollers compact spinning systems using finite element method

Player Development Journal

Large olympic stadium expansion and development planning of surplus value

NUMERICAL SIMULATION OF STATIC INTERFERENCE EFFECTS FOR SINGLE BUILDINGS GROUP

Study of Development Strategy on Internationalization of Xi'an City Wall Marathon. Hongqiang Li

TAKING PART IN SPORT

Analysis of Curling Team Strategy and Tactics using Curling Informatics

High production indexes and key factors influencing coalbed methane (CBM) horizontal well productivity

Player Development. Journal

Study on Mixing Property of Circulation/Shear Coupling Mechanism-Double Impeller Configuration

The Application of Pedestrian Microscopic Simulation Technology in Researching the Influenced Realm around Urban Rail Transit Station

Player Development. Journal

Cause Investigation of Volleyball Injury and Post-injury Treatment. Strategies

Stress Analysis of The West -East gas pipeline with Defects Under Thermal Load

Analysis of wind resistance of high-rise building structures based on computational fluid dynamics simulation technology

u = Open Access Reliability Analysis and Optimization of the Ship Ballast Water System Tang Ming 1, Zhu Fa-xin 2,* and Li Yu-le 2 " ) x # m," > 0

Journal of Chemical and Pharmaceutical Research, 2014, 6(3): Research Article

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc.

A Database Design for Selecting a Golden Glove Winner using Sabermetrics

The study of 3-strand PP/PE composite monofilament Rope

The Effect Analysis of Rudder between X-Form and Cross-Form

Modal Analysis of Propulsion Shafting of a 48,000 tons Bulk Carrier

Numerical simulation and analysis of aerodynamic drag on a subsonic train in evacuated tube transportation

Available online at ScienceDirect. Procedia Engineering 84 (2014 )

Feasibility Analysis of China s Traffic Congestion Charge Legislation

G E M D A L E. Chief Commercial Officer. Candidate Brief

PERFORMANCE COACH, BEACH CONTEXT

University of Victoria Faculty of Education School of Physical Education May 2003 PE 117 TENNIS (A01)

UNDER 9 PLAYER EVALUATION (fundamental stage)

High performance carbon nanotube based fiber-shaped. supercapacitors using redox additives of polypyrrole and. hydroquinone

From Undefeated Winner to Cry Wolf

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. University basketball teaching development strategic fuzzy evaluation

P L A Y S I G H T. C O M

ADVANCED TACTICS: CONCEPTS, FEATURES AND 5 GAME SITUATIONS

HOME ADVANTAGE IN FIVE NATIONS RUGBY TOURNAMENTS ( )

Coupling and Analysis of 981 Deep Water Semi-submersible. Drilling Platform and the Mooring System

Research Article Climate Characteristics of High-Temperature and Muggy Days in the Beijing-Tianjin-Hebei Region in the Recent 30 Years

NBA TEAM SYNERGY RESEARCH REPORT 1

Backhand. Volley. Return of serve (position) Approach shot. Overhead

Technical and tactical performance of top-class senior, junior and cadet table tennis players

RETRACTED ARTICLE. Biomechanical Analysis of Dunks Technology. Open Access. Daliang Zhou *

Numerical Simulation of the Basketball Flight Trajectory based on FLUENT Fluid Solid Coupling Mechanics Yanhong Pan

UNDER 9 AND UNDER 12 PLAYER EVALUATION (fundamental and developmental stages)

Open Research Online The Open University s repository of research publications and other research outputs

Study on Gas Content Critical Value for Regional Prediction in Hebi Area

SPORTS AUTHORITY OF INDIA NETAJI SUBHAS NATIONAL INSTITUTES OF SPORTS:PATIALA DIPLOMA COURSE IN SPORTS COACHING REVISED SYLLABUS ( )

CSU_Yunlu 2D Soccer Simulation Team Description Paper 2015

Analysis of performance at the 2007 Cricket World Cup

Opening up the court (surface) in tennis grand slams

Year 10 Key Performance Indicators Physical Education (Invasion Games)

Numerical simulation on down-hole cone bit seals

DEVELOPMENT AND APPLICATION OF A SIMULATED ALTITUDE CABIN

Octahedral Pd Nanocages with Porous Shells Converted by Co(OH) 2 Nanocages with Nanosheet surface as Robust Electrocatalysts for Ethanol Oxidation

??? 45km) : 426A. D China Academic Journal Electronic Publishing House. All rights reserved.

Gender differentiation in tactical options in defense and attack on beach handball

The purpose of this study was to investigate college students on

Men s Best Shots Poll

A Study on Traffic Flow at Urban Road Intersections Based on Queuing Theory

Exercise load research on common technical method in taekwondo training courses

HAOCHENG LI Curriculum Vitae

The Tennis Player s Posture The Value of Balance

Coaching course. Czech Republic December 2013

Homenetmen Glendale Ararat Chapter. Objective

Study on Water Hammer Prevention in Pumping Water Supply Systems by Multi-valves

Influence of Ventilation Tube Rupture from Fires on Gas Distribution in Tunnel

The Application of ANSYS Contact Analysis in Cable Crane Load Conversion Device

LEARNING TENNIS AS AN OPEN SKILL DECISION-FIRST SITUATION TRAINING

This Learning Packet has two parts: (1) text to read and (2) questions to answer.

Advantage Press, Inc. This Learning Packet has two parts: (1) text to read and (2) questions to answer.

NUMB3RS Activity: Is It for Real? Episode: Hardball

An overview of climate characteristics of 2014 summer over China

HEALTH SCIENCES AND ATHLETICS Institutional (ILO), Program (PLO), and Course (SLO) Alignment

Supporting Information. In-Situ Facile Bubble-Templated Fabrication of New-Type Urchin-Like (Li, Mo)- Doped Lix(Mo0.3V0.7)2O5 for Zn 2+ Storage

Player Profile - Who is selling, and who is not? Mika Saarinen

Key information about lacrosse

Study on the Influencing Factors of Gas Mixing Length in Nitrogen Displacement of Gas Pipeline Kun Huang 1,a Yan Xian 2,b Kunrong Shen 3,c

Decompression Method For Massive Compressed Files In Mobile Rich Media Applications

Transcription:

2018 2nd International Conference on Social Sciences, Arts and Humanities (SSAH 2018) A Correlation Study of Nadal's and Federer's Technical Indicators in Different Tennis Arenas Kun Tian, Meifang Zhou, Qian Zhao, Zuhua Xie Jiangxi Normal University, Nanchang, China Keywords: Federer; Nadal; correlation analysis; technical indicators. Abstract: The objective of this paper is to explore Nadal and Federer's technical indicators and scores in the tennis match and the relevance of the venue, and provide theoretical guidance for tactical choices for tennis matches at different venues. The literature indexes of Federer and Nadal's 38 were analyzed by using the literature method, video observation method and correlation analysis method. The tactical characteristics, technical indicators, scores and associations with the venues were explored. Results show that Federer uses more offensive tactics in technical indicators, and it is suitable for fast courses such as hard ground and grass. Nadal uses more defensive tactics in technical indicators and is suitable for slow courts such as clay courts. Therefore, in tennis matches, tactics should be chosen according to different playing fields. In slow, defensive tactics should be selected more. In fast, offensive tactics should be applied. 1. Introduction Tennis is a kind of racket-based netting-type physical activity program. It has high requirements for athletes' physical strength, endurance and reactivity, and it has always been an international high-level sports competition project. It is highly valued by the sports departments of various countries. In recent years, tennis has developed rapidly in China. However, due to the late introduction, lack of relevant technology res, and low popularity, there have been few achievements in international tennis events. Federer and Nadal, as the representative athletes of the highest tennis skills, have their own characteristics of tennis skills and tactics in both fast and slow courses. They analyze their technical characteristics and tactical use in different venue tennis events and summarize their responses to different venues. The experience of competition players has important reference significance for the training of youngsters and professional tennis players in China. 2. Research objects and methods 2.1 Research object In this study, Federer and Nadal's 38 matches in the 2004-2017 international professional tennis competition were studied. The two sides analyzed, double errors, one-shot success rate, one-shot scoring rate, and two-time scoring rate at different venues, save the break point success rate, the number of, then take the success rate, the number of receiving the ball, grasp the success rate of the break point, then win the score, the success of the, the service score and the total score of 14 Tennis technical indicators. 2.2 Research methods Document Data Method. Through the Chinese-Korean database, Wei Pu Chinese database and web of science database and other Chinese and English databases, comprehensive search of tennis technical and tactical periodicals and monographs was conducted. The technical and tactical characteristics of various types of tennis matches were summarized and summarized, laying the foundation for this study. basis. Through the ATP official website, the official website of the four Copyright (2018) Francis Academic Press, UK 148

official tennis tournaments, and tennis clubs and other sites to collect data related to this study of tennis competitions, to provide reliable data analysis for this study. Video observation. Federer and Nadal men's singles match video was watched and related technical indicators were collected to provide initial data for later data analysis. By observing the video of the match, we will focus on the statistics of the 14 technical and tactical indicators and the technical and tactical features of Federer and Nadal in the game. Mathematical Statistics. Using descriptive statistical data analysis methods, the data collected from video observations was analyzed layer by layer to explore the technical and tactical characteristics of Federer's and Nadal's game -ups, -to-go, and total scores. The technical and tactical data collected using Excel software were collected. Correlative analysis is performed to obtain the relevance of each game. Comparative Analysis. Federer passed the SLR shot, the choice of batting line made different sub-targets, and achieved different tactical effects. Nadal passed double counter-attacks and the batting route was the opposite of Federer's. The tactical effects of the two reached continuous confrontation. Logical Analysis. The grey correlation analysis focuses on analyzing 14 indicators in 38 between Federer and Nadal, and obtains the highest correlation index in each game through the correlation algorithm, and analyzes the relationship between this indicator and other indicators. The relevance of the indicators reflects the tactical type. 3. Research results and analysis 3.1 Correlation analysis between technical indicators and scores The competitive level of tennis players can be evaluated comprehensively by using long-term game data to calculate the relevance of 14 related technical indicators and total scores. In this study, by counting the average number of technical indicators of Federer and Nadal, the maximum and minimum values of all indicators were found. Finally, the correlation degree values were determined using the grey correlation analysis method, and the tennis technical characteristics of the two were performed. Overview. Gray Correlation Analysis of Federer Tennis Technical Index and Score. By analyzing Federer's 14 technical indicators in 38 of tennis, it was found that there are 10 indicators with the highest degree of correlation and individual indicators repeat in different venues. The specific results are: 5 times (4 wins and 1 loss), double 7 errors (2 wins and 5 losses), 1 success rate 3 times (3 losses), 2 rate 2 times (1 win 1 loss), 6 to save the break point success rate (3 wins and 3 losses), then one Winning score 3 times (1 win and 2 losses), number of receiving 4 times (4 losses), success rate of 6 (3 wins and 3 losses) at break point, and 1 win (1 loss) after winning 2 The score for the second and second rounds (1 win and 1 loss). Through the analysis of Federer s game tactics, he often uses offensive tactics and uses most of the tactics to break the Nadal s while using the to score directly, improve the success rate of the, score before the net, and save the success rate of the break point. Score, see Table 1 for details. Table 1 Federer technical indicators relevance Win 4 2 0 1 3 1 0 3 0 0 Negative 1 5 3 1 3 2 4 3 1 1 Grey Relational Analysis of Nadal's Tennis Technical Index and Score. Nadal's correlations between technical indicators and total scores in 38 are: 9 (6 wins and 3 losses), double errors (5 wins and 3 losses), two rounds of scoring (2 negatives), and grasping. point success rate 7 times (5 wins and 2 losses), followed by two winning once (1 win), followed by a 149

winning score 3 times (2 wins and 1 loss), a success rate of 2 times (1 win 1), a score rate of 1 (1 loss), and a save break point of 4 times (3 wins and 1 loss). By analyzing Nadal's scoring factors in the above, he found that the number of strokes is the key to his success score. The more he hits the ball, the greater the probability of successful scoring, and his advantage in the two technical indicators of and double errors. Increase the probability of winning. See Table 2 for details. Table 2 Correlation of Nadal technical indicators Win 6 5 1 0 3 2 0 5 0 0 Negative 3 3 1 2 1 1 2 2 1 0 3.2 Correlation analysis between technical indicators and competition venues Analysis of Federer's association in different competition venues. Federer's associated technical indicators in hard courts are to save the break point success rate,, double error, success rate of break, second-round scoring rate, success-per-game score, success rate, and The number of winning matches, the score of winning two, and the winning percentage of the receiving game; the associated technical indicators winning in the clay court are only able to determine the success rate of breaking; the associated technical indicator that wins in the grass playing field is only. By analyzing the relevance of Federer's different venues and technical indicators, it is found that in the tennis game, its offensive tactics are more effective in hard and grasslands, and can not achieve better scores in the clay court. See Table 3 for details. Table 3 Federer Red Clay, Hard Land, Grassland Technical Index Correlation Hard Ground Win 2 2 0 1 3 1 0 2 0 0 Negative 0 2 2 1 3 0 0 1 0 0 Red Earth Win 0 0 0 0 0 0 0 1 0 0 Negative 0 3 0 0 0 2 4 2 1 1 Grassland Win 2 0 0 0 0 0 0 0 0 0 Negative 1 0 0 0 0 0 0 0 0 0 Hard Ground Table 4 Correlation of technical indicators in Nadar red clay, hard land, and grassland Win 3 2 0 0 0 0 0 3 1 0 Negative 2 3 1 0 0 1 0 2 0 0 Red Earth Win 2 3 1 1 3 2 0 2 0 0 Negative 0 0 0 0 1 0 0 0 0 0 Grassland Win 1 0 0 0 0 0 0 0 0 0 Negative 1 0 0 0 0 0 0 0 0 0 Association Analysis of Nadal in Different Playing Fields. Nadal's associated technical indicators in the hard court venues are, double errors, success rate at the break point, and winning scores at the second break; the winning technical indicators for the clay court are, double errors, and success rate. Second, the score rate, save the success rate of the break point, followed by a winning score, and the success rate of the break point; the relevant technical index of the grass court is 150

only. By analyzing the association between Nadal's tennis venues and technical indicators, it is found that Nadal uses more tactical types in the clay court and uses more technical indicators. Although the technical indicators of double faults are high, the success rate of the breaks is improved by improving the success rate. Form tactical complementarity and increase the probability of scoring. See Table 4 for details. 4. Conclusion 4.1 Characteristics of Technical Types of Federer and Nadal This article finds Federer s technical indicators for increasing Federer's scoring rate in the match with Nadal by using grey correlation analysis:, double error, success rate, second rate, save break point success rate, and success. Rate and grasp the success rate of break, of which 5 are service indicators. Therefore, Federer tends to use offensive tactics in tennis, increasing his chances of scoring and winning by increasing the use of serving techniques. The technical indicators to improve Nadal's scoring rate are mainly to save the success rate of the break point, score to win the match, and take over the ball-type indicators such as break. In the game, they are more inclined to use defensive tactics. 4.2 Federer and Nadal's tactical effects in different venues Nadal wins 24 in 38 with Federer. Among them, Nadal has 9 in the hard court, 14 in the clay court, and 1 in the grass court. Federer 14, including 11 in the hard court. The clay court 1 field and the grass court 2. Combining the tactical characteristics of both and the venue, Nadal is able to play defensive technology better on the clay court. This is in contrast to the slow speed of tennis spinning on the clay court relative to hard and grassland. Federer s offensive tactics are The slow course cannot be formed. And in fast courses such as hard ground and grass, offensive 4.3 Federer and Nadal's technical and tactical strategies in different venues Federer's indicators on different venues are biased towards serving targets in 38 matches by Gray Relevance Analysis. In particular, in the game, indicators are used to increase the number of scores and shorten the time of continuous confrontation with Nadal. In order to increase the time for rest, he will continue to fight against Nadal s and continue to undermine Nadal s. On the contrary, Nadal s indicators on different venues tend to receive ball indicators, especially on the success rate of break. This indicator has more competitions. Therefore, in response to offensive tennis players, the proactive defensive tactics should be used to increase the probability of scoring. In response, defensive players must pay attention to the success rate of break to increase the chance of scoring. References [1] Zhu Xianbin. Comparative Analysis of the Technical and Tactical Characteristics of Djokovic's Serving Stage in Tennis Match[D]. Shaanxi Normal University, 2016. [2] Du Suqing. Research on the "key indicators" of tactics and tactics in tennis [D]. Beijing Sport University, 2015. [3] Sun Yang. Research on the characteristics of Djokovic's tactics in the hard tennis game[d]. Xi'an Institute of Physical Education, 2014. [4] Li Tengfei. Comparative study on the skills and tactics of the top 8 men's singles top 8 players at different venues[d]. Southwest University, 2014. [5] Wang Yu, Guo Liya, Wang Juan. Correlation Analysis of Federer Serve and the Third-Punch Ball Line[J]. Journal of Jilin Institute of Physical Education, 2011, 27(01):42-44. 151

[6] B Hongbo, Qian Zhiming, Zhang Haibin. Technical and tactical characteristics of the top 8 men's singles athletes in the 2010 Open Tennis Championships in Australia, France and Wenzhou[J]. China Sport Science and Technology, 2011, 47(01): 97-102. [7] Liu Ye. Analysis of the Use of Tennis Tactics Online [J]. Sports World (Academic Edition), 2010, (11): 73-74. [8] Huang Zhe. Research on the hitting routes in the hard court game of the world's best men's tennis players [D]. Beijing Sport University, 2010. 152