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Predicting Tennis Match Results Using Classification Methods

Pham, Chi Linh LU and Bufi, Konstantin LU (2023) DABN01 20231
Department of Statistics
Department of Economics
Abstract
This paper aims to contribute to the increasing popularity of machine learning in sports by predicting the winner in a tennis match using classification methods. The dataset used in this study spans a 10-year period and includes ATP singles matches from 2012 to 2022, with up to 49 explanatory variables. Six regression-based models were constructed and tested, all of which achieved an accuracy of approximately 70%, with the random forest model exhibiting the highest level of accuracy. The random forest model was then used as a classifier to predict the results of the 2023 Australian Open men’s singles tournament, and it accurately predicted Novak Djokovic as the winner.
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author
Pham, Chi Linh LU and Bufi, Konstantin LU
supervisor
organization
course
DABN01 20231
year
type
H1 - Master's Degree (One Year)
subject
keywords
Machine learning, Sports science, Tennis prediction
language
English
id
9121180
date added to LUP
2023-11-21 12:54:25
date last changed
2023-11-21 12:54:25
@misc{9121180,
  abstract     = {{This paper aims to contribute to the increasing popularity of machine learning in sports by predicting the winner in a tennis match using classification methods. The dataset used in this study spans a 10-year period and includes ATP singles matches from 2012 to 2022, with up to 49 explanatory variables. Six regression-based models were constructed and tested, all of which achieved an accuracy of approximately 70%, with the random forest model exhibiting the highest level of accuracy. The random forest model was then used as a classifier to predict the results of the 2023 Australian Open men’s singles tournament, and it accurately predicted Novak Djokovic as the winner.}},
  author       = {{Pham, Chi Linh and Bufi, Konstantin}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Predicting Tennis Match Results Using Classification Methods}},
  year         = {{2023}},
}