Presenter(s)

    Christopher Anderson

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    Description

    The purpose of this project is to see what offensive statistics are best for predicting a soccer player’s future goals using the 2017-18, 2018-19, and 2019-20 (as of 3/9) seasons’ data. The regressors (variables) tried in this project that could affect goals (dependent variable) were shots, shots on goal, expected goals, minutes (total playing time), games (number of appearances), position, team, player, and league. The data was collected from Football (soccer) reference (fbref.com) and analyzed using the Statistical Analysis System (SAS). A model predicting the response variable (goals) in terms of some significant regressors was obtained.

    Publication Date

    4-22-2020

    Project Designation

    Capstone Project

    Primary Advisor

    Maher B. Qumsiyeh

    Primary Advisor's Department

    Mathematics

    Keywords

    Stander Symposium project, College of Arts and Sciences

    Best Predictors of Player's Goals in Soccer

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