作者: Andrew Borrie , Gudberg K. Jonsson , Magnus S. Magnusson
DOI: 10.1080/026404102320675675
关键词: Match analysis 、 Artificial intelligence 、 Quantitative analysis (finance) 、 Coaching 、 Computer science 、 Pattern analysis 、 Event (computing) 、 Machine learning 、 Process (engineering)
摘要: Quantitative analysis of sports performance has been shown to produce information that coaches can use within the coaching process enhance performance. Traditional methods for quantifying sport performances are limited in their capacity describe complex interactions events occur a over time. In this paper, we outline new approach time-based event records and real-time behaviour on known as T-pattern detection. The relevant elements detection explained exemplar data from 13 soccer matches presented highlight potential form analysis. results suggest it is possible identify profiles both individuals teams based temporal behavioural patterns detected performances.