Authors

Presenter(s)

Christopher Anderson

Files

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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 Posters, College of Arts and Sciences

Best Predictors of Player's Goals in Soccer

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