Prediction of turkish super league match results using supervised machine learning techniques

Ahmet Emin Saricaoğlu; Abidin Aksoy; Tolga Kaya

doi:10.1007/978-3-030-23756-1_34

Prediction of turkish super league match results using supervised machine learning techniques

Ahmet Emin Saricaoğlu, Abidin Aksoy^*, Tolga Kaya

^*Bu çalışma için yazışmadan sorumlu yazar

İşletme Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

3 Atıf (Scopus)

Özet

Over the last number of years, sports analytics has become more popular in supporting personnel decisions, evaluating player and team performances, and predicting game results in various sports. One of the most traditional sports, football is also modernizing its ways based on sports analytics techniques. The purpose of this study is to propose a football match prediction model for Turkish Super League (TSL) using supervised machine learning techniques. To do this, based on the TSL data of last five years (2013 to 2018), game result prediction models were established using classification techniques including logistics regression, linear and quadratic discriminant analyses, K-nearest neighbors, support vector machines, and random forests. An ensemble of 10 models based on seven different techniques is suggested.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Yayınlayan	Springer Verlag
Sayfalar	273-280
Sayfa sayısı	8
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_34
Yayın durumu	Yayınlandı - 2020
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1029
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	23/07/19 → 25/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-23756-1_34

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Saricaoğlu, A. E., Aksoy, A., & Kaya, T. (2020). Prediction of turkish super league match results using supervised machine learning techniques. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 273-280). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_34

Saricaoğlu, Ahmet Emin ; Aksoy, Abidin ; Kaya, Tolga. / Prediction of turkish super league match results using supervised machine learning techniques. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 273-280 (Advances in Intelligent Systems and Computing).

@inproceedings{1db2fbb626cb41249a493a6b0ec901cc,

title = "Prediction of turkish super league match results using supervised machine learning techniques",

abstract = "Over the last number of years, sports analytics has become more popular in supporting personnel decisions, evaluating player and team performances, and predicting game results in various sports. One of the most traditional sports, football is also modernizing its ways based on sports analytics techniques. The purpose of this study is to propose a football match prediction model for Turkish Super League (TSL) using supervised machine learning techniques. To do this, based on the TSL data of last five years (2013 to 2018), game result prediction models were established using classification techniques including logistics regression, linear and quadratic discriminant analyses, K-nearest neighbors, support vector machines, and random forests. An ensemble of 10 models based on seven different techniques is suggested.",

keywords = "Ensemble modeling, Football analytics, Machine learning, Match result prediction, Supervised learning",

author = "Saricaoğlu, {Ahmet Emin} and Abidin Aksoy and Tolga Kaya",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1_34",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "273--280",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and A.Cagri Tolga",

booktitle = "Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference",

address = "Germany",

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Saricaoğlu, AE, Aksoy, A & Kaya, T 2020, Prediction of turkish super league match results using supervised machine learning techniques. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, hac. 1029, Springer Verlag, pp. 273-280, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_34

Prediction of turkish super league match results using supervised machine learning techniques. / Saricaoğlu, Ahmet Emin; Aksoy, Abidin; Kaya, Tolga.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 273-280 (Advances in Intelligent Systems and Computing; Hac. 1029).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Prediction of turkish super league match results using supervised machine learning techniques

AU - Saricaoğlu, Ahmet Emin

AU - Aksoy, Abidin

AU - Kaya, Tolga

PY - 2020

Y1 - 2020

N2 - Over the last number of years, sports analytics has become more popular in supporting personnel decisions, evaluating player and team performances, and predicting game results in various sports. One of the most traditional sports, football is also modernizing its ways based on sports analytics techniques. The purpose of this study is to propose a football match prediction model for Turkish Super League (TSL) using supervised machine learning techniques. To do this, based on the TSL data of last five years (2013 to 2018), game result prediction models were established using classification techniques including logistics regression, linear and quadratic discriminant analyses, K-nearest neighbors, support vector machines, and random forests. An ensemble of 10 models based on seven different techniques is suggested.

AB - Over the last number of years, sports analytics has become more popular in supporting personnel decisions, evaluating player and team performances, and predicting game results in various sports. One of the most traditional sports, football is also modernizing its ways based on sports analytics techniques. The purpose of this study is to propose a football match prediction model for Turkish Super League (TSL) using supervised machine learning techniques. To do this, based on the TSL data of last five years (2013 to 2018), game result prediction models were established using classification techniques including logistics regression, linear and quadratic discriminant analyses, K-nearest neighbors, support vector machines, and random forests. An ensemble of 10 models based on seven different techniques is suggested.

KW - Ensemble modeling

KW - Football analytics

KW - Machine learning

KW - Match result prediction

KW - Supervised learning

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SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 273

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BT - Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

Y2 - 23 July 2019 through 25 July 2019

ER -

Saricaoğlu AE, Aksoy A, Kaya T. Prediction of turkish super league match results using supervised machine learning techniques. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 273-280. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_34

Prediction of turkish super league match results using supervised machine learning techniques

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