A Combinatorial Approach in Predicting the Outcome of Tennis Matches
Tennis, as one of the most popular individual sports in the world, holds an important role in the betting world. There are two main categories of bets: pre-match betting, which is conducted before the match starts, and live betting, which allows placing bets during the sporting event. Betting system...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2021-09-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.34768/amcs-2021-0036 |
| _version_ | 1818826427690123264 |
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| author | Šarčević Ana Vranić Mihaela Pintar Damir |
| author_facet | Šarčević Ana Vranić Mihaela Pintar Damir |
| author_sort | Šarčević Ana |
| collection | DOAJ |
| description | Tennis, as one of the most popular individual sports in the world, holds an important role in the betting world. There are two main categories of bets: pre-match betting, which is conducted before the match starts, and live betting, which allows placing bets during the sporting event. Betting systems rely on setting sports odds, something historically done by domain experts. Setting odds for live betting represents a challenge due to the need to follow events in real-time and react accordingly. In tennis, hierarchical models often stand out as a popular choice when trying to predict the outcome of the match. These models commonly leverage a recursive approach that aims to predict the winner or the final score starting at any point in the match. However, recursive expressions inherently contain computational complexity which hinders the efficiency of methods relying on them. This paper proposes a more resource-effective alternative in the form of a combinatorial approach based on a binomial distribution. The resulting accuracy of the combinatorial approach is identical to that of the recursive approach while being vastly more efficient when considering the execution time, making it a superior choice for live betting in this domain. |
| first_indexed | 2024-12-19T00:27:30Z |
| format | Article |
| id | doaj.art-ec53595ed3d24f84a1beb33916e6ddad |
| institution | Directory Open Access Journal |
| issn | 2083-8492 |
| language | English |
| last_indexed | 2024-12-19T00:27:30Z |
| publishDate | 2021-09-01 |
| publisher | Sciendo |
| record_format | Article |
| series | International Journal of Applied Mathematics and Computer Science |
| spelling | doaj.art-ec53595ed3d24f84a1beb33916e6ddad2022-12-21T20:45:12ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922021-09-0131352553810.34768/amcs-2021-0036A Combinatorial Approach in Predicting the Outcome of Tennis MatchesŠarčević Ana0Vranić Mihaela1Pintar Damir2Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000Zagreb, CroatiaFaculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000Zagreb, CroatiaFaculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000Zagreb, CroatiaTennis, as one of the most popular individual sports in the world, holds an important role in the betting world. There are two main categories of bets: pre-match betting, which is conducted before the match starts, and live betting, which allows placing bets during the sporting event. Betting systems rely on setting sports odds, something historically done by domain experts. Setting odds for live betting represents a challenge due to the need to follow events in real-time and react accordingly. In tennis, hierarchical models often stand out as a popular choice when trying to predict the outcome of the match. These models commonly leverage a recursive approach that aims to predict the winner or the final score starting at any point in the match. However, recursive expressions inherently contain computational complexity which hinders the efficiency of methods relying on them. This paper proposes a more resource-effective alternative in the form of a combinatorial approach based on a binomial distribution. The resulting accuracy of the combinatorial approach is identical to that of the recursive approach while being vastly more efficient when considering the execution time, making it a superior choice for live betting in this domain.https://doi.org/10.34768/amcs-2021-0036binomial distributionfinal score predictionindependent and identical distributionpredictive model |
| spellingShingle | Šarčević Ana Vranić Mihaela Pintar Damir A Combinatorial Approach in Predicting the Outcome of Tennis Matches International Journal of Applied Mathematics and Computer Science binomial distribution final score prediction independent and identical distribution predictive model |
| title | A Combinatorial Approach in Predicting the Outcome of Tennis Matches |
| title_full | A Combinatorial Approach in Predicting the Outcome of Tennis Matches |
| title_fullStr | A Combinatorial Approach in Predicting the Outcome of Tennis Matches |
| title_full_unstemmed | A Combinatorial Approach in Predicting the Outcome of Tennis Matches |
| title_short | A Combinatorial Approach in Predicting the Outcome of Tennis Matches |
| title_sort | combinatorial approach in predicting the outcome of tennis matches |
| topic | binomial distribution final score prediction independent and identical distribution predictive model |
| url | https://doi.org/10.34768/amcs-2021-0036 |
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