Prediction of Season-End Point for Football using  Pythagorean Expectation

Sezer BAYSAL; Engin YILDIZTEPE

Makale detayları

Prediction of Season-End Point for Football using Pythagorean Expectation

Yazarlar:

Sezer BAYSAL | Engin YILDIZTEPE

Yayıncı:

Tokat Gaziosmanpasa University

Ana Başlıklar:

Matematik

Dergi:

Journal of New Theory 2019 Issue 27, pp.63-73

Belge Tipi:

Makale

Yayın Tarihi:

2/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000490585

Sıklık:

Üç Aylık

pISSN:

2149-1402

Özet:

 


The use of data collected
on players, teams, and games for performance evaluation, player selection, score-outcome
estimation, and strategy development using data mining tools and techniques are
defined as sports data mining. Performance measures,
unlike the common statistical methods, developed for each sport branch have an
important role in sports data mining processes. Performance measures calculated
for team sports can be used to predict the expectation of winning. The
Pythagorean expectation developed for this objective was originally used in
baseball games. The Pythagorean Expectation has also been adapted for other
team sports with two results, such as basketball. However, the studies using
Pythagorean Expectation for sports which have three possible outcomes are very
limited. In this study, a suggestion for the calculation of Pythagorean Expectation
for football is presented. In the application section, end-season rankings and
points for the 2017/2018 season of  the
selected fifteen European football leagues are predicted by using the suggested
method. The data of the past five seasons of the selected European football
leagues is used as the training dataset. All calculations are performed in R.

.

Makale detayları

Prediction of Season-End Point for Football using Pythagorean Expectation

Yazarlar: Sezer BAYSAL | Engin YILDIZTEPE

Yayıncı: Tokat Gaziosmanpasa University

Ana Başlıklar: Matematik

Dergi: Journal of New Theory 2019 Issue 27, pp.63-73

Belge Tipi: Makale

Yayın Tarihi: 2/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000490585

Sıklık: Üç Aylık

pISSN: 2149-1402

Sayı

Yazarlar:

Sezer BAYSAL | Engin YILDIZTEPE

Yayıncı:

Tokat Gaziosmanpasa University

Ana Başlıklar:

Matematik

Dergi:

Journal of New Theory 2019 Issue 27, pp.63-73

Belge Tipi:

Makale

Yayın Tarihi:

2/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000490585

Sıklık:

Üç Aylık

pISSN:

2149-1402