Analysis of Tennis Competitions on Different Court Surfaces
The purpose of this study is to analyze the match statistics of men and women tennis players in the singles category in the 2019 Grand Slam tennis tournaments (Australian Open, French Open, Wimbledon, US Open) according to different court surfaces. Winning matches in 1004 competitions made up of 250...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Selcuk University Press
2021-05-01
|
| Series: | Türk Spor ve Egzersiz Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/1634276 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841562438664716288 |
|---|---|
| author | İhsan Doğan Şükran Arıkan Serkan Revan |
| author_facet | İhsan Doğan Şükran Arıkan Serkan Revan |
| author_sort | İhsan Doğan |
| collection | DOAJ |
| description | The purpose of this study is to analyze the match statistics of men and women tennis players in the singles category in the 2019 Grand Slam tennis tournaments (Australian Open, French Open, Wimbledon, US Open) according to different court surfaces. Winning matches in 1004 competitions made up of 250 men's singles and 252 women's singles played on hard court (US Open and Australian Open); 127 men's singles and 122 women's singles played on the clay court (French Open); and 127 men's singles and 126 women's singles played on grass court (Wimbledon) were analyzed. SPSS 22.0 statistical package program was used to evaluate the data and find the calculated values. As the data showed normal distribution, One-Way Analysis of Variance (ANOVA) was used for comparisons of more than two sets. Tukey HSD multiple comparison test was used to determine the source of significant differences as a result of ANOVA. The level of significance in the study was taken as 0.05. It was determined that ace in women athletes, winning % on 1st serve, unforced error and the fastest service variables differ significantly based on the court grounds (p lt;0.05). In male athletes, it was determined that ace, double fault, winning % on 1st serve, break points won, unforced errors, fastest service and match duration variables differ significantly according to court surfaces (p lt;0.05). As a result, the findings show that the game elements that affect the outcome of the match are affected by the court surface and players tend to change their game patterns, in other words, the tactical structure of the important game elements that will make the match win and to adapt themselves to the playing court surface. |
| format | Article |
| id | doaj-art-0f74269c91c644469b11c998905c26c3 |
| institution | Kabale University |
| issn | 2147-5652 |
| language | English |
| publishDate | 2021-05-01 |
| publisher | Selcuk University Press |
| record_format | Article |
| series | Türk Spor ve Egzersiz Dergisi |
| spelling | doaj-art-0f74269c91c644469b11c998905c26c32025-01-03T01:00:32ZengSelcuk University PressTürk Spor ve Egzersiz Dergisi2147-56522021-05-012316066154Analysis of Tennis Competitions on Different Court Surfacesİhsan Doğan0Şükran Arıkan1Serkan Revan2SELÇUK ÜNİVERSİTESİ, SAĞLIK BİLİMLERİ ENSTİTÜSÜSelçuk Üniversitesi Spor Bilimleri FakültesiSelçuk Üniversitesi Spor Bilimleri FakültesiThe purpose of this study is to analyze the match statistics of men and women tennis players in the singles category in the 2019 Grand Slam tennis tournaments (Australian Open, French Open, Wimbledon, US Open) according to different court surfaces. Winning matches in 1004 competitions made up of 250 men's singles and 252 women's singles played on hard court (US Open and Australian Open); 127 men's singles and 122 women's singles played on the clay court (French Open); and 127 men's singles and 126 women's singles played on grass court (Wimbledon) were analyzed. SPSS 22.0 statistical package program was used to evaluate the data and find the calculated values. As the data showed normal distribution, One-Way Analysis of Variance (ANOVA) was used for comparisons of more than two sets. Tukey HSD multiple comparison test was used to determine the source of significant differences as a result of ANOVA. The level of significance in the study was taken as 0.05. It was determined that ace in women athletes, winning % on 1st serve, unforced error and the fastest service variables differ significantly based on the court grounds (p lt;0.05). In male athletes, it was determined that ace, double fault, winning % on 1st serve, break points won, unforced errors, fastest service and match duration variables differ significantly according to court surfaces (p lt;0.05). As a result, the findings show that the game elements that affect the outcome of the match are affected by the court surface and players tend to change their game patterns, in other words, the tactical structure of the important game elements that will make the match win and to adapt themselves to the playing court surface.https://dergipark.org.tr/tr/download/article-file/1634276grand slammatch analysistenniscourt surface |
| spellingShingle | İhsan Doğan Şükran Arıkan Serkan Revan Analysis of Tennis Competitions on Different Court Surfaces Türk Spor ve Egzersiz Dergisi grand slam match analysis tennis court surface |
| title | Analysis of Tennis Competitions on Different Court Surfaces |
| title_full | Analysis of Tennis Competitions on Different Court Surfaces |
| title_fullStr | Analysis of Tennis Competitions on Different Court Surfaces |
| title_full_unstemmed | Analysis of Tennis Competitions on Different Court Surfaces |
| title_short | Analysis of Tennis Competitions on Different Court Surfaces |
| title_sort | analysis of tennis competitions on different court surfaces |
| topic | grand slam match analysis tennis court surface |
| url | https://dergipark.org.tr/tr/download/article-file/1634276 |
| work_keys_str_mv | AT ihsandogan analysisoftenniscompetitionsondifferentcourtsurfaces AT sukranarıkan analysisoftenniscompetitionsondifferentcourtsurfaces AT serkanrevan analysisoftenniscompetitionsondifferentcourtsurfaces |