Prediction of Season-End Point for Football using Pythagorean Expectation

Sezer Baysal; Engin Yıldıztepe

EN

Prediction of Season-End Point for Football using Pythagorean Expectation

Abstract

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.

Keywords

Sports data mining,Pythagorean Expectation,Point prediction,Soccer,Football

References

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Details

Primary Language

English

Subjects

Applied Mathematics

Journal Section

Research Article

Authors

Sezer Baysal This is me

Engin Yıldıztepe ^*

Publication Date

March 1, 2019

Submission Date

February 20, 2019

Acceptance Date

-

Published in Issue

Year 2019 Number: 27

IZ

https://izlik.org/JA84BR44YM

APA

Baysal, S., & Yıldıztepe, E. (2019). Prediction of Season-End Point for Football using Pythagorean Expectation. Journal of New Theory, 27, 63-73. https://izlik.org/JA84BR44YM

AMA

1.Baysal S, Yıldıztepe E. Prediction of Season-End Point for Football using Pythagorean Expectation. JNT. 2019;(27):63-73. https://izlik.org/JA84BR44YM

Chicago

Baysal, Sezer, and Engin Yıldıztepe. 2019. “Prediction of Season-End Point for Football Using Pythagorean Expectation”. Journal of New Theory, nos. 27: 63-73. https://izlik.org/JA84BR44YM.

EndNote

Baysal S, Yıldıztepe E (March 1, 2019) Prediction of Season-End Point for Football using Pythagorean Expectation. Journal of New Theory 27 63–73.

IEEE

[1]S. Baysal and E. Yıldıztepe, “Prediction of Season-End Point for Football using Pythagorean Expectation”, JNT, no. 27, pp. 63–73, Mar. 2019, [Online]. Available: https://izlik.org/JA84BR44YM

ISNAD

Baysal, Sezer - Yıldıztepe, Engin. “Prediction of Season-End Point for Football Using Pythagorean Expectation”. Journal of New Theory. 27 (March 1, 2019): 63-73. https://izlik.org/JA84BR44YM.

JAMA

1.Baysal S, Yıldıztepe E. Prediction of Season-End Point for Football using Pythagorean Expectation. JNT. 2019;:63–73.

MLA

Baysal, Sezer, and Engin Yıldıztepe. “Prediction of Season-End Point for Football Using Pythagorean Expectation”. Journal of New Theory, no. 27, Mar. 2019, pp. 63-73, https://izlik.org/JA84BR44YM.

Vancouver

1.Sezer Baysal, Engin Yıldıztepe. Prediction of Season-End Point for Football using Pythagorean Expectation. JNT [Internet]. 2019 Mar. 1;(27):63-7. Available from: https://izlik.org/JA84BR44YM