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Editorial special issue: Statistics in sports
Triggered by advances in data gathering technologies, the use of statistical analyzes, predictions and modeling techniques in sports has gained a rapidly growing interest over the last decades. Today, professional sports teams have access to precise player positioning data and sports scientists desi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272862/ https://www.ncbi.nlm.nih.gov/pubmed/35845148 http://dx.doi.org/10.1007/s10182-022-00453-9 |
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author | Groll, Andreas Liebl, Dominik |
author_facet | Groll, Andreas Liebl, Dominik |
author_sort | Groll, Andreas |
collection | PubMed |
description | Triggered by advances in data gathering technologies, the use of statistical analyzes, predictions and modeling techniques in sports has gained a rapidly growing interest over the last decades. Today, professional sports teams have access to precise player positioning data and sports scientists design experiments involving non-standard data structures like movement-trajectories. This special issue on statistics in sports is dedicated to further foster the development of statistics and its applications in sports. The contributed articles address a wide range of statistical problems such as statistical methods for prediction of game outcomes, for prevention of sports injuries, for analyzing sports science data from movement laboratories, for measurement and evaluation of player performance, etc. Finally, also SARS-CoV-2 pandemic-related impacts on the sport’s framework are investigated. |
format | Online Article Text |
id | pubmed-9272862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-92728622022-07-11 Editorial special issue: Statistics in sports Groll, Andreas Liebl, Dominik Adv Stat Anal Editorial Triggered by advances in data gathering technologies, the use of statistical analyzes, predictions and modeling techniques in sports has gained a rapidly growing interest over the last decades. Today, professional sports teams have access to precise player positioning data and sports scientists design experiments involving non-standard data structures like movement-trajectories. This special issue on statistics in sports is dedicated to further foster the development of statistics and its applications in sports. The contributed articles address a wide range of statistical problems such as statistical methods for prediction of game outcomes, for prevention of sports injuries, for analyzing sports science data from movement laboratories, for measurement and evaluation of player performance, etc. Finally, also SARS-CoV-2 pandemic-related impacts on the sport’s framework are investigated. Springer Berlin Heidelberg 2022-07-11 2023 /pmc/articles/PMC9272862/ /pubmed/35845148 http://dx.doi.org/10.1007/s10182-022-00453-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Editorial Groll, Andreas Liebl, Dominik Editorial special issue: Statistics in sports |
title | Editorial special issue: Statistics in sports |
title_full | Editorial special issue: Statistics in sports |
title_fullStr | Editorial special issue: Statistics in sports |
title_full_unstemmed | Editorial special issue: Statistics in sports |
title_short | Editorial special issue: Statistics in sports |
title_sort | editorial special issue: statistics in sports |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272862/ https://www.ncbi.nlm.nih.gov/pubmed/35845148 http://dx.doi.org/10.1007/s10182-022-00453-9 |
work_keys_str_mv | AT grollandreas editorialspecialissuestatisticsinsports AT liebldominik editorialspecialissuestatisticsinsports |