This study examines factors that lead to winning matches in men's singles Grand Slam tennis, and proposes guidelines for coaches and professional tennis players both in training and preparation for Grand Slam competitions. Using longitudinal data between 1991 and 2008 retrieved from the official website of the Association of Tennis Professionals, we analysed player performance over 9,144 matches in men's singles Grand Slam tournaments. To predict match outcome, 16 variables were classified into one of three categories: player skills and performance, player characteristics and match characteristics. The three categories were entered sequentially into a logistic regression model to predict the dependent variable: the chance of winning a men's singles Grand Slam match. The final altered model explains 79.4% of the variance (Nagelkerke's pseudo R (2)) in match outcomes and correctly predicted 90.6% of cases. The importance of serving, receiving, and break points is further confirmed. The positive effect of stature diminishes when players are taller than 186 cm. We recommend more training in returning skills; to avoid overestimation of the positive impact of stature, left hand and professional experience; and that a male player begins his professional tennis career by participating in the US Open or Wimbledon.
The purpose of this study is to investigate the relationship between the interests associating, the perceived impacts, and the benefits perception of city residents of large-scale sports venues. A questionnaire survey was used to collect data and 476 valid questionnaires were obtained. The results of this study were as follows: 1) the interests associating, perceived impacts, and the benefits perception of residents for large-scale venues have a significant positive correlation; 2) The benefits perception of large-scale venues by residents can be predicted by the following factors: perceived economic impact, personal interests, perceived environmental impact, and economic dependence. The total variance is 59.7%, and perceived economic impact is the most significant factor explaining variance (47.6%), followed by personal interests (10.1%), perceived environment impact (1.4%), and economic dependence (0.6%). This study concludes that the benefits perception by local residents’ of sport venues is closely related to their interest association and the perceived impacts of sport venues. Large-scale venues are generally beneficial to residents as enhance their income, employment and sporting opportunities, as well as the quality of the environment. All of these factors contribute to the benefits of large-scale sport venues perceived by city residents.
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