Factors Associated with Match Result and Number of Goals Scored and Conceded in the English Premier League

Günal BİLEK; Betul AYGUN

doi:https://doi.org/10.17798/bitlisfen.1015215

Makale detayları

Factors Associated with Match Result and Number of Goals Scored and Conceded in the English Premier League

Yazarlar:

Günal BİLEK | Betul AYGUN

Yayıncı:

Bitlis Eren University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 2022 Vol.11 Issue 1, pp.227-236

Belge Tipi:

Makale

Yayın Tarihi:

3/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000888342

Sıklık:

Üç Aylık

eISSN:

2147-3188

pISSN:

2147-3129

DOI:

https://doi.org/10.17798/bitlisfen.1015215

Anahtar kelimeler:

Özet:

 

The aim of this research is to identify the factors associated with the match result and the number of goals scored and conceded in the English Premier League. The data consist of 17 performance indicators and situational variables of the football matches in the English Premier League for the season of 2017-18. Poisson regression model was implemented to identify the significant factors in the number of goals scored and conceded, while multinomial logistic regression and support vector machine methods were used to determine the influential factors on the match result. It was found that scoring first, shots on target and goals conceded have significant influence on the number of goals scored, whereas scoring first, match location, quality of opponent, goals conceded, shots and clearances are influential on the number of goals conceded. On the other hand, scoring first, match location, shots, shot on target, clearances and quality of opponent significantly affect the probability of losing; while scoring first, match location, shots, shots on target and possession affect the probability of winning. In addition, among all the variables studied, scoring first is the only variable appearing important in all the analyses, making it the most significant factor for success in football.

 

The aim of this research is to identify the factors associated with match result and number of goals scored and conceded and in the English Premier League. The data consist of 17 performance indicators and situational variables of the matches in the English Premier League for the season of 2017-18. Poisson regression model was implemented to identify the significant factors in the number of goals scored and conceded, while multinomial logistic regression and support vector machine methods were used to determine the influential factors on the match result. It was found that scoring first, shots on target and goals conceded have significant influence on the number of goals scored, whereas scoring first, match location, quality of opponent, goals conceded, shots and clearances are influential on the number of goals conceded. On the other hand, scoring first, match location, shots, shot on target, clearances and quality of opponent significantly affect the probability of losing; while scoring first, match location, shots, shots on target and possession affect the probability of winning. In addition, among all the variables studied, scoring first is the only variable appearing important in all the analyses, making it the most significant factor for success in football.

Makale detayları

Factors Associated with Match Result and Number of Goals Scored and Conceded in the English Premier League

Yazarlar:

Günal BİLEK | Betul AYGUN

Yayıncı:

Bitlis Eren University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 2022 Vol.11 Issue 1, pp.227-236

Belge Tipi:

Makale

Yayın Tarihi:

3/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000888342

Sıklık:

Üç Aylık

eISSN:

2147-3188

pISSN:

2147-3129

DOI:

https://doi.org/10.17798/bitlisfen.1015215

Support vector machine

Multinomial logistic regression

Poisson regression

Machine learning

Performance analysis

Football

Sayı

Makale detayları

Factors Associated with Match Result and Number of Goals Scored and Conceded in the English Premier League

Yazarlar: Günal BİLEK | Betul AYGUN

Yayıncı: Bitlis Eren University

Ana Başlıklar: Uygulamalı fizik

Dergi: Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 2022 Vol.11 Issue 1, pp.227-236

Belge Tipi: Makale

Yayın Tarihi: 3/2022

Belge Dili: İngilizce

Document ID (Org No.): 2000888342

Sıklık: Üç Aylık

eISSN: 2147-3188

pISSN: 2147-3129

DOI: https://doi.org/10.17798/bitlisfen.1015215

Support vector machine

Multinomial logistic regression

Poisson regression

Machine learning

Performance analysis

Football

Sayı

Yazarlar:

Günal BİLEK | Betul AYGUN

Yayıncı:

Bitlis Eren University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 2022 Vol.11 Issue 1, pp.227-236

Belge Tipi:

Makale

Yayın Tarihi:

3/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000888342

Sıklık:

Üç Aylık

eISSN:

2147-3188

pISSN:

2147-3129

DOI:

https://doi.org/10.17798/bitlisfen.1015215