Türkiye Basketbol Süper Ligi’nde Kazanan ve Kaybeden Takımları Birbirinden Ayıran İstatistikler: İç Saha-Dış Saha Etkisi

Bu çalışmanın amacı, Türkiye Basketbol Süper Ligi'nde kazanan ve kaybeden takımları birbirinden ayıran maç istatistiklerinin iç saha ve dış saha durumuna göre incelenmesidir. Veriler, Türkiye Basketbol Federasyonu resmi internet sitesinden (https://www.tbf.org.tr/ligler/bsl-2020-2021/maclar) alınmıştır. Türkiye Basketbol Süper Ligi'nin 2020-2021 sezonuna ait 258 maç verisi çalışmaya dahil edilmiştir. Veriler, resmi web sitesinden çekildikten sonra topa sahip olma, hücum verimliliği ve savunma verimliliği değerleri Oliver'ın formülü kullanılarak hesaplanmıştır. Bunu takiben, şut yüzdeleri dışındaki tüm maç istatistikleri topa sahip olma durumuna göre normalleştirilmiştir. Veriler üzerinde diskriminant analizi gerçekleştirilmiştir. Analiz sonucunda üç sayı yüzdesi (SC = .312) ve savunma ribaundlarının (SC = .334) iç saha maçlarını kazanmada belirleyici olduğu; iki sayı isabeti (SC = .416), iki sayı yüzdesi (SC = .364), savunma ribaundlarının (SC = .305) ve asistlerin (SC = .365) deplasman maçlarını kazanmada belirleyici olduğu tespit edilmiştir. Tüm maçlara yönelik olarak gerçekleştirilen analiz soncunda ise iki sayı isabeti (SC = ,341), iki sayı yüzdesi (SC = .310), üç sayı yüzdesi (SC = .322), savunma ribaundları (SC = .333) ve asistlerin (SC = .349) kazanan takımlar açısından belirleyici istatistikler olduğu saptanmıştır. Bu çalışmadan elde edilen verilerin, antrenörlerin koçluk süreçlerini geliştirmede ve takımlarını yaklaşan maçlara hazırlamada faydalı olacağı söylenebilir.

Anahtar Kelimeler:

Diskriminant analizi, Basketbol, İç saha avantajı, Maç lokasyonu, Maç istatistikleri

Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games

The purpose of this study was to examine the game-related statistics that differentiate winning and losing teams in the Turkish Basketball Super League based on game location. The data were obtained from the Turkish Basketball Federation’s official website (https://www.tbf.org.tr/ligler/bsl-2020-2021/maclar). The data of 258 matches of the Turkish Basketball Super League for the 2020-2021 season were included in the study” is better. After obtaining the data from the official website ball possessions, offensive efficiency, and defensive efficiency were calculated using Oliver’s formula. Following that, all game-related statistics except shooting percentages were normalized by ball possessions. A discrimination analysis was performed on the data. The results of the study showed that 3pt% (SC = .312) and defensive rebounds (SC = .334) were determinants to win home games while 2pm (SC = .416), 2pt% (SC = .364), defensive rebounds (SC = .305) and assists (SC = .365) were determinants to win away games. When all games considered, 2pm (SC = ,341), 2pt% (SC = .310), 3pt% (SC = .322), defensive rebounds (SC = .333) and assists (SC = .349) were important game related statistics to win games. Coaches could use the findings of the study to enhance their coaching process and prepare their teams for the upcoming games.

Keywords:

Discriminant analysis, Basketball, Home advantage, Game location, Game-related statistics.,

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