Rating competitors before tournament starts: how it's affecting team progression in a soccer tournament
In professional sporting events, rating competitors before tournament start is a well-known approach to distinguish the favorite team and the weaker teams. Various methodologies are used to rate competitors. In this paper, we explore four ways to rate competitors; least squares rating, maximum likel...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
AIP Publishing LLC
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/57565/1/Rating%20competitors%20before%20tournament%20starts%20how%20it%27s%20affecting%20team%20progression%20in%20a%20soccer%20tournament.pdf |
| _version_ | 1796976719256616960 |
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| author | Mat Yusof, Muhammad Sulaiman, Tajularipin Khalid, Ruzelan Abdul Hamid, Mohamad Shukri Mansor, Rosnalini |
| author_facet | Mat Yusof, Muhammad Sulaiman, Tajularipin Khalid, Ruzelan Abdul Hamid, Mohamad Shukri Mansor, Rosnalini |
| author_sort | Mat Yusof, Muhammad |
| collection | UPM |
| description | In professional sporting events, rating competitors before tournament start is a well-known approach to distinguish the favorite team and the weaker teams. Various methodologies are used to rate competitors. In this paper, we explore four ways to rate competitors; least squares rating, maximum likelihood strength ratio, standing points in large round robin simulation and previous league rank position. The tournament metric we used to evaluate different types of rating approach is tournament outcome characteristics measure. The tournament outcome characteristics measure is defined by the probability that a particular team in the top 100q pre-tournament rank percentile progress beyond round R, for all q and R. Based on simulation result, we found that different rating approach produces different effect to the team. Our simulation result shows that from eight teams participate in knockout standard seeding, Perak has highest probability to win for tournament that use the least squares rating approach, PKNS has highest probability to win using the maximum likelihood strength ratio and the large round robin simulation approach, while Perak has the highest probability to win a tournament using previous league season approach. |
| first_indexed | 2024-03-06T09:29:47Z |
| format | Conference or Workshop Item |
| id | upm.eprints-57565 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:29:47Z |
| publishDate | 2014 |
| publisher | AIP Publishing LLC |
| record_format | dspace |
| spelling | upm.eprints-575652017-10-24T05:06:09Z http://psasir.upm.edu.my/id/eprint/57565/ Rating competitors before tournament starts: how it's affecting team progression in a soccer tournament Mat Yusof, Muhammad Sulaiman, Tajularipin Khalid, Ruzelan Abdul Hamid, Mohamad Shukri Mansor, Rosnalini In professional sporting events, rating competitors before tournament start is a well-known approach to distinguish the favorite team and the weaker teams. Various methodologies are used to rate competitors. In this paper, we explore four ways to rate competitors; least squares rating, maximum likelihood strength ratio, standing points in large round robin simulation and previous league rank position. The tournament metric we used to evaluate different types of rating approach is tournament outcome characteristics measure. The tournament outcome characteristics measure is defined by the probability that a particular team in the top 100q pre-tournament rank percentile progress beyond round R, for all q and R. Based on simulation result, we found that different rating approach produces different effect to the team. Our simulation result shows that from eight teams participate in knockout standard seeding, Perak has highest probability to win for tournament that use the least squares rating approach, PKNS has highest probability to win using the maximum likelihood strength ratio and the large round robin simulation approach, while Perak has the highest probability to win a tournament using previous league season approach. AIP Publishing LLC 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57565/1/Rating%20competitors%20before%20tournament%20starts%20how%20it%27s%20affecting%20team%20progression%20in%20a%20soccer%20tournament.pdf Mat Yusof, Muhammad and Sulaiman, Tajularipin and Khalid, Ruzelan and Abdul Hamid, Mohamad Shukri and Mansor, Rosnalini (2014) Rating competitors before tournament starts: how it's affecting team progression in a soccer tournament. In: 3rd International Conference on Quantitative Sciences and Its Applications (ICOQSIA 2014), 12–14 Aug. 2014, Langkawi, Kedah. (pp. 665-670). 10.1063/1.4903653 |
| spellingShingle | Mat Yusof, Muhammad Sulaiman, Tajularipin Khalid, Ruzelan Abdul Hamid, Mohamad Shukri Mansor, Rosnalini Rating competitors before tournament starts: how it's affecting team progression in a soccer tournament |
| title | Rating competitors before tournament starts: how it's affecting team progression in a soccer tournament |
| title_full | Rating competitors before tournament starts: how it's affecting team progression in a soccer tournament |
| title_fullStr | Rating competitors before tournament starts: how it's affecting team progression in a soccer tournament |
| title_full_unstemmed | Rating competitors before tournament starts: how it's affecting team progression in a soccer tournament |
| title_short | Rating competitors before tournament starts: how it's affecting team progression in a soccer tournament |
| title_sort | rating competitors before tournament starts how it s affecting team progression in a soccer tournament |
| url | http://psasir.upm.edu.my/id/eprint/57565/1/Rating%20competitors%20before%20tournament%20starts%20how%20it%27s%20affecting%20team%20progression%20in%20a%20soccer%20tournament.pdf |
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