Time Series Data Mining for Sport Data: a Review
Time series data mining deals with extracting useful and meaningful information from time
series data. Recently, the increasing use of temporal data, in particular time series data, has …
series data. Recently, the increasing use of temporal data, in particular time series data, has …
Context is key: normalization as a novel approach to sport specific preprocessing of KPI's for match analysis in soccer
Abstract Key Performance Indicators (KPIs) have been investigated, validated and applied in
multitude of sports for recruiting, coaching, opponent, self-analysis etc. Although a wide …
multitude of sports for recruiting, coaching, opponent, self-analysis etc. Although a wide …
Success-score in professional soccer–Validation of a dynamic Key performance indicator combining space control and ball control within goalscoring opportunities
D Brinkjans, D Memmert, J Imkamp… - International journal of …, 2022 - sciendo.com
Typical performance indicators in professional quantitative soccer analysis simplify complex
matters, resulting in loss of information. Hence, a novel approach to characterize the …
matters, resulting in loss of information. Hence, a novel approach to characterize the …
Passing path predicts shooting outcome in football
S Cao - Scientific Reports, 2024 - nature.com
What determines the outcome of a shot (scored or unscored) in football (soccer)? Numerous
studies have investigated various aspects of this question, including the skills and …
studies have investigated various aspects of this question, including the skills and …
Who are the best passing players in professional soccer? A machine learning approach for classifying passes with different levels of difficulty and discriminating the …
The present study aimed to assess the use of technical-tactical variables and machine
learning (ML) classifiers in the automatic classification of the passing difficulty (DP) level in …
learning (ML) classifiers in the automatic classification of the passing difficulty (DP) level in …
Logistic Regression
A Phatak - Computer Science in Sport: Modeling, Simulation, Data …, 2024 - Springer
With the rise of Big Data in sports performance analysis based on data and a wide variety of
possibilities have opened. In the last, 10 years considerable progress has been made in …
possibilities have opened. In the last, 10 years considerable progress has been made in …
Comparison of force variables and dynamic strength index between age groups in elite young Brazilian football goalkeepers
DL Portella, P Jatene, AO Da Silva… - Frontiers in Sports and …, 2024 - frontiersin.org
Introduction The application of muscle force is a determinant of football success as it is
inherent to the motor control and sport. The aims of this study are:(1) to describe force …
inherent to the motor control and sport. The aims of this study are:(1) to describe force …
Glocal Explanations of Expected Goal Models in Soccer
The expected goal models have gained popularity, but their interpretability is often limited,
especially when trained using black-box methods. Explainable artificial intelligence tools …
especially when trained using black-box methods. Explainable artificial intelligence tools …
The Success-Score in Professional Football: a metric of playing style or a metric of match outcome?
D Brinkjans, Y Paul, J Perl, D Memmert - International Journal of …, 2024 - sciendo.com
In the growing field of data analysis in soccer tracking data is analyzed utilizing increasingly
complex methods to account for the dynamic, multifactorial nature of the game. One …
complex methods to account for the dynamic, multifactorial nature of the game. One …
SVMCTI: support vector machine based cricket talent ıdentification model
Sports talent recognition is one of the intensively discussed topics in this day and age.
Cricket is a sport of keen interest and has fascinated researchers all over the world to …
Cricket is a sport of keen interest and has fascinated researchers all over the world to …