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Copyright of Trakya Journal of Education is the property of Trakya Journal of Education and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Sport for All & Recreation / Herkes Için Spor ve Rekreasyon is the property of Journal of Sport for All & Recreation / Herkes icin Spor ve Rekreasyon Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tourism & Recreation is the property of Tourism & Recreation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the large amounts of structured and unstructured data available to the public, studies on Esports forecasting are increasing day by day. Although prediction studies for esports events are greatly affected by the human factor, it increases the success of predictions with its structure that offers many important parameters in achieving accurate outputs. In this context, it is important how to create models and which machine learning algorithms to choose. In this study, classifications were carried out using various machine learning algorithms to predict the results of the rounds in the online game Counter-Strike: Global Offensive. In the research, a total of seven supervised classification algorithms, namely Logistic Regression, Decision Trees, Random Forest, XGBoost, Naive Bayes, K-Nearest Neighbor and Support Vector Machine were used. Accuracy, Precision, Sensitivity, F-Score and AUC values were calculated in the performance measurement of these algorithms. In addition, algorithms are compared by evaluating ROC curves and confusion matrix. As a result of these measurements and evaluations, the Random Forest algorithm was the most successful algorithm with an accuracy rate of 88%. In addition to these, some suggestions were made for Esports organizations by conducting Exploratory Data Analysis in the context of the winning status of the rounds. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Sportive is the property of Journal of Sportive and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of ROL Sport Sciences / ROL Spor Bilimleri Dergisi is the property of Journal of ROL Sport Sciences / ROL Spor Bilimleri Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of ROL Sport Sciences / ROL Spor Bilimleri Dergisi is the property of Journal of ROL Sport Sciences / ROL Spor Bilimleri Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Mediterranean Journal of Sport Science (MJSS) is the property of Mediterranean Journal of Sport Science (MJSS) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Mediterranean Journal of Sport Science (MJSS) is the property of Mediterranean Journal of Sport Science (MJSS) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Bu çalışmanın amacı espor dersi alan üniversite öğrencilerinin espora katılım motivasyonlarının incelenmesidir. Araştırmamız; temel felsefesi bakımından uygulamalı, amacı bakımından açıklayıcı, yöntemi bakımından nicel ve tarama, süresi bakımından kesitsel ve analiz birimi bakımından gruptan oluşmaktadır. Örneklem seçiminde amaçlı örnekleme tekniği kullanılmıştır. Çalışmaya 2022-2023 güz ve bahar döneminde Espor dersi alan 3 (6,1%) kadın, 46 (93,9%) erkek olmak üzere toplam 49 öğrenci gönüllü olarak katılmıştır. Araştırmada veri toplama aracı olarak Espor Katılım Motivasyonu Ölçeği ve 11 sorudan oluşan demografik bilgi formu kullanılmıştır. Veriler SPSS 25 paket programında analiz edilmiştir. Tanımlayıcı istatistiksel hesaplamalar yapıldıktan sonra veriler normal dağılım göstermediği için bağımsız değişkenlerde 2 tane grup olan değişkenler için Mann-Whitney U Testi, 3 ve daha fazla grup olan değişkenler için Kruskall-Wallis H Testi kullanılmıştır. Anlamlılık düzeyi 0,05 olarak alınmıştır. Öğrencilerin espor katılım motivasyonu ölçeği puanlarının grup içi karşılaştırma sonuçlarına göre; aylık gelir düzeyi, tercih edilen oyun türü, baba eğitim düzeyi ve üniversitede espor dersi alarak esporla ilgili kritik kazanım elde etme inancı değişkenlerine göre istatistiksel olarak anlamlı farklılık bulunmuştur (p

This study has focused on how the digital culture affects sports and dealt with the changes that it has brought about in sports culture. E-sports, which stands out in this context, is a phenomenon and sport branch that is formed and shaped by digital technologies both in game culture and sports culture. There are discussions in the sports world about whether e-sports can be considered a sport as well as the relation between e-sports and health. These discussions show the place of e-sports in society and its interrelationship with digital culture. Digital culture, as an integral part of the world we live in, is transforming it in many aspects. E-sports stands out as one of the most important manifestations of this transformation in sports. E-sports is an important digital culture phenomenon which contains many dynamics. E-sports now has different characteristics due to the transformations having occurred over time and not all games are considered as e-sports. E-sports has an different place within the game culture since it appeals to a large population and a great majority of its viewers consists of players. There is also debate over health and e-sports in the digitalized society. Digitalization made the video games that were previously seen merely as games as part of the sports world by transforming them and opened to question the traditional senses of sports i.e. moving, exerting effort and being healthy. All these developments show that esports has strengthened its place in the world of sports and has the potential to be seen as a sport. Statistics about e-sports also put forward the socio-cultural and economic value of this phenomenon. The global market revenue of the esports industry is estimated to be $1.87 billion in 2025. The number of esports fans is expected to exceed 318 million worldwide by 2025. Almost 82% of internet users worldwide play e-sports games. [ABSTRACT FROM AUTHOR]

Her gün milyonlarca kullanıcının bir araya gelerek yayın yaptığı, etkileşimde bulunduğu canlı yayın akış platformu Twitch, hem üretim hem tüketimde büyük bir hızla büyümektedir. Dijital oyun pazarının merkezi haline gelen Twitch, dünyanın en çok ziyaret edilen platformlarından biri olmuştur. Bu çalışma izleyici ve yayıncıların Twitch’e yönelik yaklaşımlarını ve deneyimlerini inceleyerek, Twitch’in dinamiklerini ortaya koymayı amaçlamaktadır. Bu amaçla çalışmada Şubat-Nisan 2021 tarihleri arasında tesadüfi olarak seçilen yedi Twitch yayıncısı ve yedi Twitch izleyicisiyle çevrimiçi derinlemesine görüşmeler gerçekleştirilmiştir. Bu kapsamda izleyicilerin ve yayıncıların Twitch’te kendilerini nasıl sunduklarını anlamaya yönelik yarı yapılandırılmış görüşme formu hazırlanmış ve yapılan görüşmeler nitel değerlendirmeye tabi tutulmuştur. Çalışma sonucunda Twitch’in başarısının içeriğin kalitesinden çok izlenme oranlarıyla ölçüldüğü ortaya konulmuştur. Araştırmada, diğer sosyal medya sitelerine göre daha az bilinir olmasına rağmen Twitch’in, Türkiye’de hem izleyici hem yayıncı açısından büyük bir ivme kaydettiği ve dünyayla yarışabilecek düzeyde yayınlar yaptığı görülmüştür. Çalışmada, sunduğu yenilikçi yaklaşımlarla Twitch’in yerini sağlamlaştırdığına işaret edilmektedir.

Copyright of Journal of Sportive is the property of Journal of Sportive and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Youth Research is the property of Genclik & Spor Bakanligi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Sports Sciences Research / Spor Bilimleri Araştırmaları Dergisi is the property of Journal of Sport Sciences Researches / Spor Bilimleri Arastirmalari Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)