Technical Statistics and Regression Analysis of Men's Single Events in Tennis on Clay Courts.

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Title: Technical Statistics and Regression Analysis of Men's Single Events in Tennis on Clay Courts.
Authors: Wang, Ju'an1 wangjuan0265@sina.com, Cao, Lili2 470254269@qq.com
Source: IAENG International Journal of Applied Mathematics. Mar2026, Vol. 56 Issue 3, p1214-1220. 7p.
Subjects: Regression analysis, Sports statistics, Tennis tournaments, Tennis, Tennis courts
Abstract: This research aimed to identify the linear relationship between match scores and other technical statistical indicators and the main indicators behind the scores of men's tennis singles matches on clay courts. According to the research, ACES and serves do not determine the outcome of the match. One of the reasons behind the loser's defeat is their tendency to target the winner's forehand on the return of serve. No significant difference was found between winners and losers in receiving performance. The fewer unforced errors, the better competition status. Based on their contribution to the winner's total match points (dependent variable), the technical statistical indicators (independent variable) in this study are ranked as follows: unforced error, serve return points won, first serve points won and winner shot. [ABSTRACT FROM AUTHOR]
Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 191967219
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PubType: Academic Journal
PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Technical Statistics and Regression Analysis of Men's Single Events in Tennis on Clay Courts.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Ju'an%22">Wang, Ju'an</searchLink><relatesTo>1</relatesTo><i> wangjuan0265@sina.com</i><br /><searchLink fieldCode="AR" term="%22Cao%2C+Lili%22">Cao, Lili</searchLink><relatesTo>2</relatesTo><i> 470254269@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Applied+Mathematics%22">IAENG International Journal of Applied Mathematics</searchLink>. Mar2026, Vol. 56 Issue 3, p1214-1220. 7p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Sports+statistics%22">Sports statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Tennis+tournaments%22">Tennis tournaments</searchLink><br /><searchLink fieldCode="DE" term="%22Tennis%22">Tennis</searchLink><br /><searchLink fieldCode="DE" term="%22Tennis+courts%22">Tennis courts</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This research aimed to identify the linear relationship between match scores and other technical statistical indicators and the main indicators behind the scores of men's tennis singles matches on clay courts. According to the research, ACES and serves do not determine the outcome of the match. One of the reasons behind the loser's defeat is their tendency to target the winner's forehand on the return of serve. No significant difference was found between winners and losers in receiving performance. The fewer unforced errors, the better competition status. Based on their contribution to the winner's total match points (dependent variable), the technical statistical indicators (independent variable) in this study are ranked as follows: unforced error, serve return points won, first serve points won and winner shot. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 1214
    Subjects:
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Sports statistics
        Type: general
      – SubjectFull: Tennis tournaments
        Type: general
      – SubjectFull: Tennis
        Type: general
      – SubjectFull: Tennis courts
        Type: general
    Titles:
      – TitleFull: Technical Statistics and Regression Analysis of Men's Single Events in Tennis on Clay Courts.
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            NameFull: Wang, Ju'an
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            NameFull: Cao, Lili
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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            – TitleFull: IAENG International Journal of Applied Mathematics
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