TY - CHAP
T1 - Recent Advancements in Data Mining and Machine Learning Applications in Evaluating Goalkeepers’ Performances in Elite Football
AU - Musa, Rabiu Muazu
AU - Majeed, Anwar P.P.Abdul
AU - Ab Rasid, Aina Munirah
AU - Abdullah, Mohamad Razali
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - In this chapter, we explored how evaluation methods have evolved to assess the performance of elite football goalkeepers and how data mining and machine learning have advanced the field of sports analytics. We also identified the key performance indicators that affect the success of goalkeepers in the European football championship. Furthermore, we described the data collection process, data sample and features, as well as various statistical analyses (both univariate and multivariate) that were used to accomplish the objectives of this study.
AB - In this chapter, we explored how evaluation methods have evolved to assess the performance of elite football goalkeepers and how data mining and machine learning have advanced the field of sports analytics. We also identified the key performance indicators that affect the success of goalkeepers in the European football championship. Furthermore, we described the data collection process, data sample and features, as well as various statistical analyses (both univariate and multivariate) that were used to accomplish the objectives of this study.
KW - Clustering algorithms
KW - Data mining
KW - European football championship
KW - Goalkeepers’ performance
KW - Machine learning models
KW - Performance evaluation
UR - http://www.scopus.com/inward/record.url?scp=85185975060&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-7762-8_1
DO - 10.1007/978-981-99-7762-8_1
M3 - Chapter
AN - SCOPUS:85185975060
T3 - SpringerBriefs in Applied Sciences and Technology
SP - 1
EP - 11
BT - SpringerBriefs in Applied Sciences and Technology
PB - Springer Science and Business Media Deutschland GmbH
ER -