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https://rfos.fon.bg.ac.rs/handle/123456789/2759Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Maričić, Milica | - |
| dc.creator | Jeremić, Veljko | - |
| dc.date.accessioned | 2024-05-10T08:03:33Z | - |
| dc.date.available | 2024-05-10T08:03:33Z | - |
| dc.date.issued | 2023 | |
| dc.identifier.isbn | 978-1-5275-9273-5 | - |
| dc.identifier.uri | https://rfos.fon.bg.ac.rs/handle/123456789/2759 | - |
| dc.description.abstract | Currently, the FedEx ATP (Association of Tennis Players) ranking based on points won in tournaments is the official ranking of professional tennis players. However, a more sophisticated ranking, which encompasses performance indicators, could be proposed having in mind the wide availability of indicators. To provide a possible alternative ranking, as a case study, we observed the professional tennis players in 2019 and three groups of indicators provided by the ATP: metrics of serve, metrics of return, and metrics under pressure on three courts: clay, grass, and hard. The chosen statistical methodology to create a novel ranking is the twofold I-distance method. The I-distance method has been employed with success for creating impartial and data-driven rankings. The twofold approach consists of the application of I-distance on two levels: on the level of indicators and on the level of previously created pillars. The results of such an approach will provide data-driven rankings based on performance indicators of tennis players on each individual surface and will enable the inspection of differences in tennis players’ performance. | sr |
| dc.language.iso | en | sr |
| dc.publisher | Cambridge Scholars Publishing | sr |
| dc.rights | closedAccess | sr |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.source | In Y. Dominicy, & C. Ley (Eds.), Statistics Meets Sports: What We Can Learn from Sports Data | sr |
| dc.subject | sport statistics | sr |
| dc.subject | ranking | sr |
| dc.subject | tennis | sr |
| dc.subject | Ivanovic distance | sr |
| dc.subject | multivariate analysis | sr |
| dc.title | Ranking professional tennis players based on performance indicators: A data-driven approach | sr |
| dc.type | bookPart | sr |
| dc.rights.license | BY | sr |
| dc.citation.epage | 134 | - |
| dc.citation.spage | 103 | - |
| dc.type.version | publishedVersion | sr |
| item.cerifentitytype | Publications | - |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | reserved | - |
| item.openairetype | bookPart | - |
| item.languageiso639-1 | en | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| Appears in Collections: | Radovi istraživača / Researchers’ publications | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| bitstream_3977.pdf Restricted Access | Maricic Jeremic Sport Chapter 2023 | 6.12 MB | Adobe PDF | View/Open Request a copy |
This item is licensed under a Creative Commons License