KPIs in the German Bundesliga

Publikationen: Beitrag in Buch/Bericht/KonferenzbandKapitelBegutachtung

Standard

KPIs in the German Bundesliga. / Raabe, Dominik.

Match Analysis: How to Use Data in Professional Sport. Hrsg. / Daniel Memmert. 1st Edition. Aufl. New York : Routledge, 2021. S. 213-220 23.

Publikationen: Beitrag in Buch/Bericht/KonferenzbandKapitelBegutachtung

Harvard

Raabe, D 2021, KPIs in the German Bundesliga. in D Memmert (Hrsg.), Match Analysis: How to Use Data in Professional Sport. 1st Edition Aufl., 23, Routledge, New York, S. 213-220. https://doi.org/10.4324/9781003160953-27

APA

Raabe, D. (2021). KPIs in the German Bundesliga. in D. Memmert (Hrsg.), Match Analysis: How to Use Data in Professional Sport (1st Edition Aufl., S. 213-220). [23] Routledge. https://doi.org/10.4324/9781003160953-27

Vancouver

Raabe D. KPIs in the German Bundesliga. in Memmert D, Hrsg., Match Analysis: How to Use Data in Professional Sport. 1st Edition Aufl. New York: Routledge. 2021. S. 213-220. 23 Epub 2021 Nov 15. doi: 10.4324/9781003160953-27

Bibtex

@inbook{c6347480724e4e7e975ebdbb915a8b07,
title = "KPIs in the German Bundesliga",
abstract = "This chapter discusses a Big Data field study that analyzed more than 300,000,000 position data points from the German Bundesliga. These data were used to explore and validate multiple advanced Key Performance Indicators (KPIs) based on Voronoi Diagrams or Neural Networks to analyze team and player performances, and to answer sport scientific questions such as the factors which vary between winning and losing or good and bad teams. With such a large sample, this example offers a great opportunity to examine the application of positional data analysis in practice. In addition to the study results, this chapter provides an in-depth discussion of the possible applications of positional data and derived KPIs in match analysis. Importantly, critical concepts, such as the operational definitions, validity and reliability of performance metrics, are highlighted. With a special emphasis on hands-on applications, this chapter finally discusses the interpretation of advanced KPIs and gives tips on how to apply these in a practical setting.",
author = "Dominik Raabe",
year = "2021",
doi = "10.4324/9781003160953-27",
language = "English",
pages = "213--220",
editor = "Daniel Memmert",
booktitle = "Match Analysis",
publisher = "Routledge",
edition = "1st Edition",

}

RIS

TY - CHAP

T1 - KPIs in the German Bundesliga

AU - Raabe, Dominik

PY - 2021

Y1 - 2021

N2 - This chapter discusses a Big Data field study that analyzed more than 300,000,000 position data points from the German Bundesliga. These data were used to explore and validate multiple advanced Key Performance Indicators (KPIs) based on Voronoi Diagrams or Neural Networks to analyze team and player performances, and to answer sport scientific questions such as the factors which vary between winning and losing or good and bad teams. With such a large sample, this example offers a great opportunity to examine the application of positional data analysis in practice. In addition to the study results, this chapter provides an in-depth discussion of the possible applications of positional data and derived KPIs in match analysis. Importantly, critical concepts, such as the operational definitions, validity and reliability of performance metrics, are highlighted. With a special emphasis on hands-on applications, this chapter finally discusses the interpretation of advanced KPIs and gives tips on how to apply these in a practical setting.

AB - This chapter discusses a Big Data field study that analyzed more than 300,000,000 position data points from the German Bundesliga. These data were used to explore and validate multiple advanced Key Performance Indicators (KPIs) based on Voronoi Diagrams or Neural Networks to analyze team and player performances, and to answer sport scientific questions such as the factors which vary between winning and losing or good and bad teams. With such a large sample, this example offers a great opportunity to examine the application of positional data analysis in practice. In addition to the study results, this chapter provides an in-depth discussion of the possible applications of positional data and derived KPIs in match analysis. Importantly, critical concepts, such as the operational definitions, validity and reliability of performance metrics, are highlighted. With a special emphasis on hands-on applications, this chapter finally discusses the interpretation of advanced KPIs and gives tips on how to apply these in a practical setting.

UR - https://www.mendeley.com/catalogue/efdb13f7-8df5-3459-905c-fc11fd8c12f4/

UR - https://doi.org/10.4324/9781003160953

U2 - 10.4324/9781003160953-27

DO - 10.4324/9781003160953-27

M3 - Chapter

SP - 213

EP - 220

BT - Match Analysis

A2 - Memmert, Daniel

PB - Routledge

CY - New York

ER -

ID: 6465029