The Estimation of German Football League (Bundesliga) Team Ranking via Artificial Neural Network Model

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dc.contributor.authorAktuğ, Zait
dc.contributor.authorİbiş, Serkan
dc.contributor.authorAka, Hasan
dc.contributor.authorKılıç, Faruk
dc.date.accessioned2024-11-07T13:15:55Z
dc.date.available2024-11-07T13:15:55Z
dc.date.issued2022
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThis study was conducted to estimate the places of teams in league ranking by the analysis of the time intervals of the scored and conceded goals in football using Artificial Neural Network (ANN). In the study, the data of the minutes of the scored and conceded goals (0-15, 16-30, 31-45, 46-60, 61-75, 76-90) in total 918 matches played in 3 seasons (2015/2016, 2016/2017, 2017/2018) in German Soccer League (Bundesliga) were used. Total 12 input values (scored and conceded goals) and 1 output (league ranking) value was obtained. 4 different models were determined. 3 seasons league rankings were estimated by training the first 2 season data. All data were separated randomly for training and testing. League ranking was obtained by normalizing between the range of 0,1 – 0,9. Since the produced value in the range of 0 – 1, it was multiplied with 100 for a trained network and the league ranking was obtained. It was determined that the model developed according to our findings estimated the league ranking with above 99% accuracy for many teams (test data set) according to the minutes of the scored and conceded goals. The lowest mean square error (MSE) value was obtained as 0.00004. As a consequence, it was determined that the minutes of scored and conceded goals in soccer affect the league ranking of the teams. Obtained ANN prediction model can be a guide for coaches to determine the offensive and defensive organizations.
dc.identifier.doi10.15314/tsed.932501
dc.identifier.endpage29
dc.identifier.issn2147-5652
dc.identifier.issue1
dc.identifier.startpage22
dc.identifier.trdizinid1102784
dc.identifier.urihttps://doi.org/10.15314/tsed.932501
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1102784
dc.identifier.urihttps://hdl.handle.net/11480/11954
dc.identifier.volume24
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofTürk Spor ve Egzersiz Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241107
dc.subjectSpor Bilimleri
dc.subjectBilgisayar Bilimleri
dc.subjectYapay Zeka
dc.subjectPrediction
dc.subjectranking
dc.subjectsoccer league
dc.subjectArti?cial neural network
dc.titleThe Estimation of German Football League (Bundesliga) Team Ranking via Artificial Neural Network Model
dc.typeArticle

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