Men's Singles Research Articles

Construction of an Intensive Training Program for Badminton Reserve Players Before Team Selection Match

Background and Aim: This research was an intensive training program for badminton reserve players to select matches. The objective was to 1) construct an intensive training program for badminton reserve players before team selection matches,2) study the effect of an intensive training program for badminton reserve players before team selection matches on physical fitness and badminton skills, 3) compare physical fitness and badminton skill within the experimental group between the pre-test, after week 4, and post-test, and 4) to compare badminton skills and mental fitness between pre-match and post-match competitions. Materials and Methods: This quasi-experimental research involved the purposive sampling method of 26 youth badminton members from the Dongguan Xianghong Badminton Club in Guangzhou, dividing the subjects into specific events of badminton competition, such as men's singles, women's singles, men's doubles, women's doubles, and mixed doubles. The intensive training program was developed by the researcher, content validated with an index of item objective congruence (IOC) of 0.83, that with the first six weeks, they trained in technical, physical fitness, and strength training; in the last 2 weeks, they trained specific techniques and tactics, eight weeks duration, five days per week. All subjects were examined before training on the pre-match competition and mental fitness, then the pre-test on badminton skills and physical fitness. They conducted the training program, the test after week 4, and the post-test. In the final, they were examined on the post-match competition and mental fitness. Data analysis, the mean was compared between the pre-test, after week 4, and post-test with one-way ANOVA repeated measurement, and Bonferroni pairwise post hoc. The mean comparison of match competition between pre-match with post-match competition and mental fitness was conducted by t-test dependent. Results: (1) Mean comparison between pre-match competitions and post-match, all badminton skills and mental fitness showed significant differences. (2) Mean comparison of badminton skills between pre-test, after weeks 4 and post-test, all of pairwise were significant differences. And (3) Mean comparison of physical fitness between the pre-test, after weeks 4 and post-test, all of pairwise were significant differences. Conclusion: An intensive Training program for Badminton can improve badminton skills, physical fitness, and mental fitness for reserve players before a team selection match.

Research on Momentum Evaluation and Turning Point Prediction in Tennis Matches Based on RSR and GSRF

In the men's singles final of the 2023 Wimbledon Open, rising star Carlos Alcaraz defeated veteran Novak Djokovic, an astonishing turnaround and result that sparked an in-depth exploration of the sports phenomenon of "momentum". When one side of a match gains momentum, its technical level and adaptability will be greatly utilized, which will directly affect the victory or defeat of the match. Most of the past researches focus on verifying the authenticity of momentum in sports games and the factors affecting the change of momentum. In this paper, taking the above match as the research object, we use the rank and ratio comprehensive evaluation method (RSR) to mine the match data, and propose a new prediction model GSRF by combining the random forest model and the lattice search algorithm, and based on the independently established momentum model and the momentum difference model, we predicted the turning point of the momentum in the match and the result of the match. The difference effect size of Cohen's d-value of 0.035 and accuracy R² of 0.826 was obtained, which verified the higher accuracy and generalizability of the model. The study helps coaches and instructors optimize training programs, develop game strategies, and provide new ideas and approaches for coaches and instructors.

Predicting Lead Changes in Tennis Matches based on Machine Learning Models

Based on men's singles data from the 2023 Wimbledon Tennis Championships, this study applies advanced statistical and machine learning techniques (including Principal Component Analysis PCA, Uniform Streaming Approximation and Projection UMAP, Random Forests, and Extreme Random Trees Extra-Trees) to explore the dynamics of lead changes during matches. By constructing mathematical models, the study predicts lead changes at key moments of the race that have a decisive impact on the race strategy and outcome. The experimental results show that the Extreme Random Trees model performs well on all evaluation metrics, especially in terms of accuracy, recall and F1 score, demonstrating its ability to handle complex interactions and variations in the data. In addition, the CatBoost model performed well in identifying actual leading changes, but with lower accuracy, possibly due to overfitting certain data patterns. The hybrid model, on the other hand, demonstrated a balanced performance, although it failed to outperform the extreme random tree model in terms of overall effectiveness.

Research on momentum conversion in sports

Momentum, traditionally examined in sports, is an ability to increase or develop continuously, impacting mental and physical performance in a pattern akin to human preferences, which are complex and non-linear. This research explores momentum in sports, particularly tennis, integrating it with the economic concept of diminishing marginal utility to analyze momentum shifts. Using data from the 2023 Wimbledon men's singles, the study dissects momentum into absolute and relative measures, revealing server advantage and precise models with an R-square value of 0.877. It employs macro and micro perspectives to link momentum with success, affirming its significant impact on win rates and performance dimensions. A GARCH model identifies influential factors in momentum transitions, informing strategies for game control. Applying the model to basketball, specifically a 2024 Clippers-Celtics NBA game, maintains strong predictive capabilities, indicating its broader applicability. Practical recommendations for tennis coaches and players, grounded in empirical findings, conclude the study, emphasizing strategic momentum utilization.

Unleashing the Power of Momentum: Analyzing Tennis Match Flow through Data Analysis

This paper aims to analyze the impact of momentum in the Wimbledon Men's Singles Final, uncovering its influence on the game's trajectory and providing strategic advice. To analyze player performance and game pace in tennis, we identified key variables within the dimensions of Consumption, Serving, Accuracy, and Difference. Initially, we developed a momentum prediction model in tennis using logistic regression, with an accuracy of over 73%. In line with the actual match, our visualizations provide valuable insights into the flow of play and momentum shifts in tennis matches. Secondly, we conducted a randomness analysis using the Run test on two metrics: CW (swings in play) and DPW (runs of success by one player), indicated that neither CW nor DPW occurs randomly. Furthermore, we employed Vector Auto-regressive Models (VAR) and found that momentum significantly affects the states of players and their winning streaks. Thirdly, we created the Momentum Swing Prediction Model using the Random Forest approach, introducing a dependent variable, TP, to capture the swings in momentum during a match. By analyzing the variable, we have identified four key factors: win/loss of the serve, rally length, serve speed, and distance. Moreover, we offer three practical recommendations for players entering a new match. Finally, we tested the Momentum Swings Prediction model on matches that were not included in the 2023 Wimbledon Men's model, and proposed incorporating player strength and injury information into future models to enhance the model's performance in different scenarios. Through testing on the 2022 Wimbledon Women's matches, we conclude that our model exhibits generalization across various types of matches. In conclusion, these findings highlight the significance of momentum and how it can impact the flow of play. By understanding these dynamics, coaches can better prepare players to respond to events that impact the match's trajectory.

Analysis of the Technical and Tactical Characteristics of Li Shifeng in 2023

Objective: To explore and understand the skills and tactics used by the world's top badminton players in the competition, so that ordinary badminton lovers can understand and use the skills and tactics of badminton, improve the level of skills and combat, and expect to provide reference for improving the skills and tactics of the athlete Li Shifeng. Methods: Using the literature method, video observation method and mathematical statistics method, we analyzed the serve, reception, front court ball processing, midfield ball processing, back court ball processing and gain and loss in the competition, and summarized the characteristics of his skills and tactics in the competition. Conclusion: 1) Li Shifeng's serve is mainly backhand ball, and the serve is concentrated in areas 1 and 5 in front court; other areas are involved but not frequently. At present, there is a tendency of men's singles in badminton. 2) Li Shifeng's use of receiving service skills and tactics is mainly to rub and put the net and pick the ball, while the use of other technical balls is involved but not much. He has a high sense of defense, but also actively attack, trying to break free of the control of the opponent, actively strive for the initiative of the game, so the net in the return stage is also particularly important. 3) The use of forward ball skills often requires more energy into dealing with the opponent's return to gain the chance to dominate the game. Li Shifeng's front court attack is more active, like to rub the ball and pick the ball skills and tactics, so as to win the advantage in front of the net. 4) There is no obvious technical and tactical gap in the performance of Li Shifeng and his opponents in the midfield, and all the ball techniques are used. The straight line technology before the net is the most used, followed by the diagonal and pick the ball, and the flat ball is the lowest frequency. 5) Li Shifeng in the back using the ball and kill the ball tactical ability is better, the back is Li Shifeng in the back of the highest utilization technology, using the ball back, facilitate the best time to use the ball, and consciously and accurately control the point and Li Shifeng in the back is given priority to with the ball score, steady, fast, drop ball point precision, to the field of control consciousness is strong, control the rhythm of the tactical intention.6) Li Shifeng loses too much points actively, which is in a phenomenon that he wants to actively grab the advantage but loses points due to poor technical treatment.

Uncover the Regular Pattern of Momentum Behind Tennis Match

In sports, a team or player may feel they have strength or force during a match as a result of which is often attributed to "momentum". We defined a series of indicators and built several models to explore the role of momentum in a tennis match and the factors that influence it. We use a list of data sets of Wimbledon 2023 men’s matches after the second round. After preprocessing the given data, we defined six indicators, such as cumulative scoring advantage, success rate of breaking serve and ability to control the ball, which make up the player's performance score in each round. The player's performance score was calculated by the normalized values of the indicators and the weights of the six indicators determined through the Principal Component Analysis (PCA). Next, a tumbling window was used on the player's performance scores, and the size of the tumbling window was set to 3 rounds, which was used to calculate the player's momentum in each period. After that, we chose the match "2023-wimbledon-1701" for the visualisation of the match flow. Then we defined the performance score difference between the two players in each round and used it as the independent variable, and the point victor in each round as the dependent variable. Then we built a Logistic Regression Model to analyze the causal relationship between the two. We found that the swings of the game and the success of the players are not random, it will be affected by the performance scores of the players in the game. Each unit increase in the performance score difference increases the probability of Player 1 winning by approximately 5.087 times. Next, we defined the performance score turning point and used it as the dependent variable. After data processing with normalization and resampling, we built a Softmax Regression Model and combined it with the SHAP method to explain the model. We found that there are indicators that can help determine when the flow of play is about to change from favoring one player to the other such as cumulative rate of unforced error, quality of the serve and cumulative rate of scoring at the net. Of these, the ability to control the ball is the most relevant indicator. After that, we made suggestions for players to play against different players. After that, we tested the model using data from the match "2023-wimbledon-1311", and the predictions were favourable. By constructing the confusion matrix and calculating the four evaluation indicators of accuracy, precision, recall, and f1-score, we found that the model results performed generally well. Then, we proposed six factors that may need to be included in the model, such as direction of serve, depth of return and length of break before this round. Afterwards, we found the dataset of Sebastian Ofner vs. Stefanos Tsitsipas in the men's singles eighth-final of the 2023 French Open Roland Garros to fit the model and found that the model is more generalizable. Finally, we evaluated and refined the model and reported the findings in a memo to tennis coaches.

Exploration and Prediction of Factors Influencing Athlete Momentum in Tennis Matches

In the field of sports competition, the momentum fluctuation of athletes in a match has an important impact on the final performance, especially in a high-intensity confrontational sport such as tennis. In this paper, based on the men's singles data of the 2023 Wimbledon Tennis Championships, a prediction model based on a decision tree and a BP neural network was established to analyze the momentum and fluctuation of athletes in a match. This study contributes to an in-depth understanding of athletes' performance during matches and provides a scientific basis for their training and tactical adjustments.

Insights into the Tennis Court through Machine Learning: Analysis and Evaluation of the Wimbledon Men's Singles Final

In today's data-driven world of sports science, in-depth analysis of tennis match data is especially critical for improving athlete performance, refining training strategies, and enhancing the viewing experience. This study starts from all aspects of data and key features of the players during the game, using Stacking integrated machine learning methods, a kind of integrated algorithms through XGBoost, GBDT, CatBoost, and ExtraTrees to build prediction models, aiming to always keep an eye on the dynamics of the game, using the data to reveal the changes in the player's strength and to quantify the impact of the momentum on the player as well as the game's trend. The experimental results show that we have identified factors that influence changes in players' momentum, which can provide real-time feedback to coaches and players so that they can make data-based decisions during matches, opening up new avenues for improving tennis players' scoring ability and maximizing help for players to improve their winning percentage in matches.

Pelatihan Keterampilan Teknik Dasar Permainan Bulu Tangkis di Desa Pandan Wangi Kabupaten Lombok Timur

Badminton is a sport that is the pride of the Indonesian nation. Almost every region has the facilities and infrastructure to do this sport. The popularity of badminton has resulted in badminton players being able to compete at the international level. This should be maintained and developed in order to make the nation proud. There are five categories of badminton played, including men's singles, women's singles, men's doubles, women's doubles and mixed doubles. The game of badminton can not only be played on an open court (outdoor), but can also be played on a closed court (indoor). The shape of a badminton court is rectangular and there is a net in the middle that divides the area between two players or pairs. The aim of this activity is to train basic technical skills for playing badminton in Pandan Wangi Village, Jerowaru District, East Lombok Regency. The results achieved in training on basic techniques for playing badminton in Pandan Wangi Village within ± one and a half months include: 1) children know what the basic techniques for playing badminton are; 2) children already understand how to perform the basic technical movements of playing badminton; 3) develop players' abilities in playing badminton; 4) improve children's ability to perform basic badminton techniques; 5) improve brain cognition; 6) strengthen the muscles and joints of the body; 7) prevent a number of diseases; 8) make children interested in sports from previously often playing online games; 9) develop the quality of children in Pandan Wangi Village in playing badminton; and 10) maintaining body health by exercising, especially playing badminton.

Quantifying Tennis Player Performance: A Linear Regression Approach

This paper uses linear regression to quantitatively analyse the performance of players in the men's singles competition at Wimbledon 2023. Firstly, the data is processed by observationally analysing the match data to ensure compliance with the tournament standards and regulations. Next, key metrics were extracted, including short-term and long-term metrics, as well as the introduction of Serve Indicator to consider the impact of serve advantage on player performance. Then, the most important independent variables were identified through Random Forest feature analysis and parameters were calculated using least squares to construct performance indicators for use in linear regression. Finally, through data visualisation and analysis, it was found that player 1 usually performs better at critical moments, showing greater stability and consistency, while player 2 shows greater variability and unpredictability. Overall, the linear regression method in this paper is valuable and practical for quantifying tennis players' performance, and can provide a reference for players and coaches to help them better analyse and improve their performance.

Advancing Tennis Analytics: Comprehensive Modeling for Momentum Identification and Strategic Insights

The 2023 Wimbledon men's singles final featured a thrilling clash between the emerging Spanish talent Carlos Alcaraz and the seasoned Novak Djokovic. Djokovic initially exerted control over the game, but Alcaraz effectively turned the tables and emerged victorious, highlighting the significance of "momentum" in the sport. Despite frequent discussion, effectively quantifying and forecasting the impact of this phenomenon poses significant challenges. Question 1 investigates the methods of tracking the progress of a tennis match and identifying players who demonstrate exceptional performance at specific moments. We constructed a model that considers variables such as serve probability advantage, technical indications, physical fitness, and mental condition. The model use time series analysis to monitor the dynamics of the game. It presents the game progress and player performance through interactive charts, allowing for efficient tracking of shifts in game momentum. Question 2 examines the influence of "momentum" on the game's result. We employed the XGBoost machine learning technique to construct a model, coupled with the particle swarm optimization algorithm to fine-tune parameters, and examined the pivotal aspects that influence the game's momentum. The model's findings demonstrate a notable association between momentum and game performance, which contradicts the belief held by certain coaches that game flow is purely impacted by random events. Question three necessitates the anticipation of significant moments of change in momentum within the game. We developed a predictive model that uses the PSO-XGBoost forest algorithm to accurately forecast the timing of momentum transitions. This is achieved by identifying and analyzing important statistics. The findings demonstrate that the model has the capability to precisely anticipate moments of momentum change, hence offering strategic guidance for coaches and players. Question 4 assessed the adaptability of the model in various competitive settings and produced a suggestion report based on the study of the model's results. We examine the implementation of the concept in several game scenarios and offer coaches and athletes strategic counsel to enhance their readiness and reaction to pivotal occurrences throughout the game. In conclusion, our research offers a comprehensive viewpoint on the significance of momentum in tennis matches and demonstrates the potential of machine learning methods in forecasting and capitalizing on this phenomena. Our approach not only improves comprehension of match progression, but also offers direction on how to implement these observations in actual matches.

Pengaruh Latihan Two Foot Sideways dan Icky Shuffle Terhadap Kelincahan Kaki Pada Atlet Tunggal Putra Bulu tangkis

This research focuses on how much influence two food sideways and icky shuffle have on the agility of the feet of badminton men's singles athletes. This type of research is a pseudo-experiment with a control group design research design. The data collection instrument uses a t test. The results showed the sig value for two foot sideways (X1) on foot agility (Y) was 0.003 <0.05. The sig value for icky shuffle (X2) on foot agility (Y) is 0.003 <0.05. These results indicate that there is a significant effect of two foot sideways and icky shuffle on foot agility. Keywords: Two Foot Sideways and Icky Shuffle, Agility.

Research and analysis of winning factors in men's singles tennis based on logistic regression modelling

Research and analysis of winning factors in men's singles tennis based on logistic regression modelling

Epidemiology and Factors Influencing Davis Cup Retirements Over the Past Twenty Years.

The demands of professional tennis, including physical and psychological aspects, contribute to the frequency of retirements at elite levels of the sport. The aim of this study was to explore the frequency of injuries and the factors that influence the retirements of professional tennis players competing in the Davis Cup over the last two decades. Retrospective cohort study. The data set includes data from 6,060 men's singles matches that included 1,814,141 games from Davis Cup ties played between 2000 to 2019. Factors that might influence the retirements were studied by means of generalized linear models using Poisson distribution. Incidence rates by 1000 games and incidence rate ratios of retirements are provided as association measures. The retirement incidence was 1.05 per 1000 games [95% CI: 0.90, 1.21]. The main risk factors associated with retirements were matches played on hard courts (IRR: 2.52 [95% CI: 1.32, 4.83]) and matches played in the final two matches of the tie and in a best-of-5-set format (IRR: 2.63 [95% CI: 1.69, 4.09] and IRR: 5.52 [95% CI: 3.50, 8.69], respectively). The most common injuries that led to retirements were those affecting the lower extremities, specifically involving muscular or tendinous tissues. This study provides valuable insights for coaches, players, support teams, and epidemiologists regarding retirements and their associated risk factors in Davis Cup tournaments. These findings may guide future research and inform strategies aimed at managing player health and performance in professional tennis. Level 2b.

Perbandingan notasi pertandingan bulutangkis nomor tunggal putra pada olimpiade Rio 2016 dan Beijing 2020

This research aims to compare the match notations between the men's singles matches in Rio 2016 and Rio 2020. It is urgent to discuss this matter because the Olympics is a routine event held every 4 years, to prepare for the next Olympics, team officials can evaluate the Rio match resume. 2016 and Tokyo 2020. This research is classified as quantitative research and the method used is audiovisual analysis. The sample for this research is the men's singles final match for badminton) at the 2016 Rio and 2020 Beijing Olympics. Data collection procedures, data were obtained from the IOC (international Olympic Committee's) website. The spreadsheet used to collect data was using a spreadsheet in the Excel 2019 application. Data analysis was used, namely the difference test with the help of SPSS 21. The results of the research obtained a description of the hitting techniques carried out up to the rally and rest times as well as comparisons. The conclusion obtained is that there is a difference between rally time and rest time between the Rio 2016 and Tokyo 2020 matches.

SURVEY OF PB LAUSER ATHLETES' SMASH ABILITIES IN CENTRAL ACEH

Badminton is one of the most popular in Indonesia and the world. The game of badminton has basic techniques such as serves and smashes. Smash in badminton is a technique that is very necessary to get a point. This research aims to determine the smash ability of Central Aceh PB Lauser athletes. This type of research is quantitative descriptive research. The sample for this research was 5 athletes in the Men's Singles category PB Lauser Central Aceh. The research results from the five athletes had a maximum score of 35, a minimum score of 25, a mean of 29.2, and a standard deviation of 4.33. The good category is 40% and the bad category is 60%, so it can be concluded that the abilities of PB Lauser Aceh athletes are in the medium category. It is a good suggestion for the coach to provide a training program that leads to smash ability in badminton, such as training arm muscle strength.

Match analysis and probability of winning a point in elite men's singles tennis.

Notational analysis and new technologies have allowed a better understanding of tactical actions in tennis. In particular, the combined analysis of different variables affecting performance is necessary to understand the relationships between actions in competition. The aim of this research was to analyse the probability of winning a point in men's professional tennis based on the most relevant variables affecting performance in this sport. A total of 4,669 points were analysed on three different court surfaces from the final rounds (from the quarter-finals onwards) of three of the four Grand Slam tournaments in the 2021 season. An observational methodology was applied. Different analysis techniques were used to obtain the results: descriptive and chi-square with a significance level of p<0.05. First serve effectiveness (point won) was 69% on clay, 75% on grass and 75% on hard court. Second serve effectiveness (point won) was around 55% regardless of the surface. The majority of points, between 65% and 77% depending on the court surface, ended with a short rally (between one and four shots). Approximately 80% of the points played with first serve and short rally were won by the serving player. With first serve and medium length rallies, the probability of winning the point is similar between server (range 49-55%) and receiver on any court surface. The study reveals a set of patterns (based on the combination of information from the variables analysed) that determine the probability of winning a point. Descriptive data from this research could help coaches and players on match strategy at the highest levels of elite men's single tennis.

Modeling the Badminton Stroke Pattern Through the Sequential Pattern Discovery Using Equivalent Classes (SPADE) Algorithm

Badminton is one of the most popular sports in the world, especially in Asia. It has a parent organization called Badminton World Federation (BWF). Discussion about player strategies in winning various championships held by BWF is an interesting topic to discuss. This paper aims to analyze the hitting patterns of badminton players by paying attention to the sequence of types of strokes made by the players, including lobs, netting, smashes, drives, and dropshots. Sequential pattern discovery using the equivalent class algorithm (SPADE) is the appropriate method to identify these problems because it can determine the rules and probabilities of player's hitting patterns based on the order of the types of strokes. In this paper, we analyze the stroke pattern of the two top-ranked badminton players in the men's singles sector at the Malaysia Open 2022 championship, where Viktor Axelsen and Kento Momota met in the final. Based on the results of these research, we analyze the strategies and recommended hitting patterns from the information on the two players' patterns. The results of this study, in general, can be used as information for players to understand and analyze the opponent's performance or strategy before competing.

Effects of technical-tactical skills on enhancing scoring efficiency when competing with opponents using different handedness in table tennis matchups

Technical-tactical skills are key to determining table tennis match performance. Identifying the skills that can increase scoring probability when competing against opponents with different racket handedness is vital. The aim of this study was to investigate the technical-tactical actions that could significantly improve scoring efficiency in SH (same-handedness) matches and OH (opposite-handedness) matches. The statistics of 72 top-level men's singles matches were collected (40 SH matches and 32 OH matches). An independent samples t-test was performed to evaluate the differences in the scoring efficiency of the point-winning shot. The results showed that the following maneuvers were crucial technical-tactical skills to increase scoring probability: (1) during the mutual-restriction phase, executing a forehand short push to forehand during service round and a backhand long push to backhand during receiving round against SH opponents (p < 0.05, ES: 0.59–0.70), and a backhand short push to middle in receiving round against OH opponents (p < 0.01, ES = 0.66); (2) during the initial-attack-and-counterattack phase, performing an initial forehand flip and a loop (drive) to forehand, a counter backhand loop (drive) to backhand during both types of rounds, and a forehand block (lob) to forehand during service round against SH opponents (p < 0.05, ES: 0.52–1.18), and an initial forehand loop (drive) to backhand and a counter backhand loop (drive) to forehand during both types of rounds, an initial forehand flip and a loop (drive) to backhand during service round, and an initial backhand flip to middle during receiving round against OH opponents (p < 0.05, ES: 0.45–0.99); and (3) during the topspin-exchange phase, hitting a forehand loop (drive) to forehand during service round and a backhand loop (drive) to backhand during both types of rounds against SH opponents (p < 0.05, ES: 0.51–1.32), a forehand loop (drive) to backhand during both types of rounds against OH opponents (p < 0.01, ES: 0.77–0.91). Professionals are recommended to concentrate on the enhancement of the abovementioned key technical-tactical skills to achieve better match performance.