A correlation analysis of game statistics and season results in Major League Soccer
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Publisher:The Ohio State University
Series/Report no.:The Ohio State University. Department of Educational Studies Honors Theses; 2017
The aim of this study was to analyze statistical data collected from all games (n = 340) in the 2016 Major League Soccer regular season and discover which statistics are correlated to total season points. Statistical data for 37 variables was collected from the regular season and organized as averages by team. Statistical data for 35 variables was collected from the regular season for the 10 field players with the highest season minutes and organized by player and as averages by team. These variables were then analyzed to determine which were correlated to total season points. The statistics analyzed included crosses, shots on target, yellow cards, aerial duels won, shots against, key passes, offside, player height, etc. The variable of season points refers to the total points a team earns throughout the season by collecting 3 points for each win, 1 point for each tie, and 0 points for each loss. Having the highest amount of total season points is desirable. Multiple team statistics were found to be correlated to total season points such as yellow cards per game (p = 0.0095) and aerial duels won per game (p = 0.0213). Multiple player statistics were found to be correlated, such as average total season minutes (p = 0.00351) and average total assists (p = 0.0610). Besides this, shots on target was found to be significant, but total shots was not. This study aimed to determine the game statistics both by team and by player that are most strongly correlated to total season points.
Academic Major: Sport Industry
College of Education and Human Ecology Undergraduate Research Scholarship
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