Analysis and prediction of competition performance in master swimmers
This study aimed to quantify the participation of male master swimmers during ten seasons (2008/2009 – 2018/2019) in the national master swimmers and predict the results for the 2020/2021 season in the events of 50 100, 200 and 400 m freestyle. Eight age groups were considered, namely, A to H with a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Desafio Singular
2021-12-01
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| Series: | Motricidade |
| Subjects: | |
| Online Access: | https://revistas.rcaap.pt/motricidade/article/view/25521 |
| _version_ | 1818280413587570688 |
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| author | Hugo Louro João Diogo Freitas Carla Borrego Rui Cunha Daniel Marinho Catarina Costa Santos Ana Conceição |
| author_facet | Hugo Louro João Diogo Freitas Carla Borrego Rui Cunha Daniel Marinho Catarina Costa Santos Ana Conceição |
| author_sort | Hugo Louro |
| collection | DOAJ |
| description | This study aimed to quantify the participation of male master swimmers during ten seasons (2008/2009 – 2018/2019) in the national master swimmers and predict the results for the 2020/2021 season in the events of 50 100, 200 and 400 m freestyle. Eight age groups were considered, namely, A to H with a total of 5368 participants, in the four events analysed 50, 100, 200 and 400m freestyle. The best time of each race was recorded in the selected age groups that took place in the last decade of the National Summer Championship, through the specific website "Swimrakings" (https://www.swimrankings.net/). The resulting equation for the calculation was: y=(-)ax^2-bx+c, being y the rate of increase or decrease in swimming performance and the x variation depending on the year of events that one intends to estimate for 2021, x = 13. The results showed an increase in the number of participations in middle age groups (35-49 years) and a prediction of improvements in the results of 21 events for all the swimming races studied. In conclusion, we can verify that prediction becomes essential for the definition of new objectives and evolutionary trends in swimming.
Keywords: Swimming, crawl, master, competition, prediction |
| first_indexed | 2024-12-12T23:48:50Z |
| format | Article |
| id | doaj.art-fd4ff4caf31f474e97df0bfedd9f0786 |
| institution | Directory Open Access Journal |
| issn | 1646-107X 2182-2972 |
| language | English |
| last_indexed | 2024-12-12T23:48:50Z |
| publishDate | 2021-12-01 |
| publisher | Desafio Singular |
| record_format | Article |
| series | Motricidade |
| spelling | doaj.art-fd4ff4caf31f474e97df0bfedd9f07862022-12-22T00:06:46ZengDesafio SingularMotricidade1646-107X2182-29722021-12-0117410.6063/motricidade.25521Analysis and prediction of competition performance in master swimmersHugo Louro0João Diogo Freitas1Carla Borrego2Rui Cunha3Daniel Marinho4Catarina Costa Santos5Ana ConceiçãoEscola Superior de Desporto de Rio MaiorSport Sciences School of Rio Maior, Rio Maior, PortugalSport Sciences School of Rio Maior, Rio Maior, PortugalSport Sciences School of Rio Maior, Rio Maior, PortugalDepartment of Sports Sciences, University of Beira InteriorDepartment of Sports Sciences, University of Beira Interior, PortugalThis study aimed to quantify the participation of male master swimmers during ten seasons (2008/2009 – 2018/2019) in the national master swimmers and predict the results for the 2020/2021 season in the events of 50 100, 200 and 400 m freestyle. Eight age groups were considered, namely, A to H with a total of 5368 participants, in the four events analysed 50, 100, 200 and 400m freestyle. The best time of each race was recorded in the selected age groups that took place in the last decade of the National Summer Championship, through the specific website "Swimrakings" (https://www.swimrankings.net/). The resulting equation for the calculation was: y=(-)ax^2-bx+c, being y the rate of increase or decrease in swimming performance and the x variation depending on the year of events that one intends to estimate for 2021, x = 13. The results showed an increase in the number of participations in middle age groups (35-49 years) and a prediction of improvements in the results of 21 events for all the swimming races studied. In conclusion, we can verify that prediction becomes essential for the definition of new objectives and evolutionary trends in swimming. Keywords: Swimming, crawl, master, competition, predictionhttps://revistas.rcaap.pt/motricidade/article/view/25521Swimmingcrawlmastercompetitionprediction |
| spellingShingle | Hugo Louro João Diogo Freitas Carla Borrego Rui Cunha Daniel Marinho Catarina Costa Santos Ana Conceição Analysis and prediction of competition performance in master swimmers Motricidade Swimming crawl master competition prediction |
| title | Analysis and prediction of competition performance in master swimmers |
| title_full | Analysis and prediction of competition performance in master swimmers |
| title_fullStr | Analysis and prediction of competition performance in master swimmers |
| title_full_unstemmed | Analysis and prediction of competition performance in master swimmers |
| title_short | Analysis and prediction of competition performance in master swimmers |
| title_sort | analysis and prediction of competition performance in master swimmers |
| topic | Swimming crawl master competition prediction |
| url | https://revistas.rcaap.pt/motricidade/article/view/25521 |
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