STATISTICAL ANALYSIS OF FOOTBALL PLAYERS’ PERFORMANCE Cover Image

FUTBOLININKIŲ REZULTATYVUMO STATISTINIS TYRIMAS
STATISTICAL ANALYSIS OF FOOTBALL PLAYERS’ PERFORMANCE

Author(s): Karolina Kanišauskienė, Simona Veličkaitė
Subject(s): Education, Present Times (2010 - today), Sports Studies
Published by: Vilniaus Universiteto Leidykla
Keywords: football; linear regression model; logistical regression model;

Summary/Abstract: In this paper, we analyze Šiauliai “Gintra-University” football club players’ physical fitness test data and match reports for 2016. The aim of the study is to present a statistical survey on the football players’ performance. One of the tasks was to assess “Gintra-University” team players’ physical fitness tests and compare them to fitness standards for women admitted to the police school. After checking the hypothesis that the average score is the sum of scores divided by the total number of matches it was found that the team players were assessed satisfactorily. Linear regression model was done to predict time spent on a football field, and logistic regression model - to predict the probability that a randomly selected team player will score a goal.

  • Issue Year: 2019
  • Issue No: 1 (49)
  • Page Range: 54-59
  • Page Count: 6
  • Language: Lithuanian