TY - CHAP
T1 - A Machine Learning Analysis of Technical Skills and Tactical Awareness as Performance Predictors for Goalkeepers in European Football League
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 - This chapter highlights the tactical and technical performance indicators that could distinguish between highly skilled and low-skilled goalkeepers (GKs). It has been demonstrated from the study findings that a set of indicators encompassing accurate and key passes, fouls, accurate foot passes from open play, accurate, hand passes, accurate passes from set pieces, short passes accurate, medium passes accurate, accurate long passes, and goals conceded could be essential in identifying the performance level of the GKs. It has also been demonstrated from the current finding that the application of the machine learning model is non-trivial in predicting the performance levels of the GKs. The decision tree model is found to yield an excellent prediction of the level of GKs levels with respect to the investigated indicators. It is then inferred that GKs’ training programmes should include aspects related to said indicators.
AB - This chapter highlights the tactical and technical performance indicators that could distinguish between highly skilled and low-skilled goalkeepers (GKs). It has been demonstrated from the study findings that a set of indicators encompassing accurate and key passes, fouls, accurate foot passes from open play, accurate, hand passes, accurate passes from set pieces, short passes accurate, medium passes accurate, accurate long passes, and goals conceded could be essential in identifying the performance level of the GKs. It has also been demonstrated from the current finding that the application of the machine learning model is non-trivial in predicting the performance levels of the GKs. The decision tree model is found to yield an excellent prediction of the level of GKs levels with respect to the investigated indicators. It is then inferred that GKs’ training programmes should include aspects related to said indicators.
KW - European football leagues
KW - Goalkeepers’ performance
KW - Highly skilled goalkeepers
KW - Machine learning models
KW - Tactical awareness
UR - http://www.scopus.com/inward/record.url?scp=85185978899&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-7762-8_4
DO - 10.1007/978-981-99-7762-8_4
M3 - Chapter
AN - SCOPUS:85185978899
T3 - SpringerBriefs in Applied Sciences and Technology
SP - 29
EP - 34
BT - SpringerBriefs in Applied Sciences and Technology
PB - Springer Science and Business Media Deutschland GmbH
ER -