TÜRKİYE BASKETBOL LİGİ TAKIMLARININ FARKLI SEZONLARDAKİ VERİMLİLİK ORANLARININ KARŞILAŞTIRMASI.

B u çalışmanın amacı, Türkiye Beko Basketbol Ligi’nde oynayan takımların son üç sezon performanslarını verimlilik puanı ile değerlendirmek ve karşılaştırmaktır. Toplam 16 takımdan oluşan Beko Basketbol Ligi takımlarının verimlilik puanı 20062007, 2007-2008 ve 2008-2009 sezonu istatistikleri kullanılarak hesaplanmıştır. Takımların sezonlara göre verimlilik oranları tek yönlü varyans analizi (ANOVA) ile karşılaştırılmıştır. İkili karşılaştırmalar Bonferroni testi kullanılarak analiz edilmiştir. Anlamlılık düzeyi % 5 olarak kabul edilmiştir. Sezonlara göre basketbol takımlarının verimlilik oranları arasında anlamlı fark bulunmuştur (F(2,45)=4.10, p0.05). Ancak, 2006-2007 sezonu verimlilik puanı ( =66.12±7.66 puan), 20082009 sezonu verimlilik puanından ( =72.93±7.20 puan) anlamlı düzeyde düşük bulunmuştur (p0.05). Bu çalışmanın sonucunda Beko Basketbol Liginin 2008-2009 sezonu verimliliğinin 2006-2007 ve 2007-2008 sezonundan daha yüksek olduğu belirlenmiştir. Bu çalışmada kullanılan verimlilik puanı kavramının yeni yaklaşımlara yönlendirici olacağı düşünülebilir
Anahtar Kelimeler:

-

TÜRKİYE BASKETBOL LİGİ TAKIMLARININ FARKLI SEZONLARDAKİ VERİMLİLİK ORANLARININ KARŞILAŞTIRMASI.

Keywords:

-,

___

  • Abdelkrim NB, Fazaa SE, Ati JE. (2007). Time– motion analysis and physiological data of elite under- 19-year-old basketball players during competition. British Journal of Sports Medicine, 41, 69–75.
  • Angel Gomez M, Lorenzo A, Sampaio J, Ibanez SJ, Ortega E. (2008). Game-related statistics that discriminated winning and losing teams from the Spanish men’s professional basketball teams. Collegium Antropologicum, 32(2), 451-6.
  • Berri DJ.(1999). Who is ‘Most Valuable’? Measuring the Player’s Production of Wins in the National Basketball association. Managerial and Decision Economics, 20, 411–427.
  • Berri DJ, Schmidt MB. (2002). Instrumental versus bounded rationality: A comparison of Major League Baseball and the National Basketball Association. Journal of Socio-Economics, 31, 191–214.
  • Cerynik DL, Lewullis GE, Joves BC, Palmer MP, Tom JA. (2009). Outcomes of microfracture in professional basketball players. Knee Surgery Sports Traumatology Arthroscopy, 17(9), 1135–1139.
  • Gabor C, O’Donoghue P, Hughes M, Dancs H. (2009). Performance indicators that distinguish winning and losing teams in basketball. International Journal of Performance Analysis in Sport, 9(1), 60-66(7). 7. Hadley L, Poitras M, Ruggiero J, Knowles S. (2000). Performance evaluation of National Football League Teams. Managerial and Decision Economics, 21, 63–70.
  • Hofler RA, Payne JE. (1997). Measuring efficiency in the national Basketball Association. Economics Letters, 55, 293-299.
  • http://en.wikipedia.org/wiki/John_Hollinger, 09 Eylül 2009.
  • http://www.nba.com/statistics/efficiency.html, 05 Mayıs 2009.
  • http://www.tbl.org.tr/beko/takimlar.asp, 12 Şubat 2009.
  • Hucinski T, Tymanski R. (2006). The structure of technical-tactical actions and the effectiveness of the youth polish national team, European Basketball Vice- Champions. Research Yearbook, 12(2), 267-71.
  • Ibanez SJ, Garcia J, Feu S, Lorenzo A, Sampaio J. (2009). Effects of consecutive basketball games on the game-related statistics that discriminate winner and losing teams. Journal of Sports Science and Medicine, 8, 458-462.
  • Ibanez, SJ,  Sampaio J,  Feu S,  Lorenzo A,  Gomez M,  Ortega E. (2008). Basketball game-related statistics that discriminate between teams’ season- long success. European Journal of Sport Science, 8(6), 369-372(4).
  • Kubatko J, Oliver D, Pelton K, Rosenbaum DT. (2007). A staring point for analyzing Basketball statistics. Journal of Quantitative Analysis in Sports 3(3), 1-22.
  • Latin RW, Berg K, Baechle T. (1994). Physical and performance characteristics of NCAA Division I male basketball players. Journal of Strength and Conditioning Research, 8(4), 214-18.
  • Matthew D, Delextrat A. (2009). Heart rate, blood lactate concentration, and time–motion analysis of female basketball players during competition. Journal of Sports Sciences, 27(8), 813–821.
  • Ortega E, Palao JM, Gomez MA, Lorenzo A, Cardenas D. (2007). Analysis of the efficacy of possessions in boys’ 16-and-under basketball teams: Differences between winning and losing teams. Perception Motor Skills, 104(3 Pt 1), 961-4.
  • Pollard R, Pollard G. (2005). Long-term trends in home advantage in professional team sports in North America and England (1876 – 2003). Journal of Sports Sciences, 23(4), 337-50.
  • Sampaio J, Ibanez S, Lorenzo A, Gomez M. (2006). Discriminative game-related statistics between basketball starters and nonstarters when related to team quality and game outcome. Perception Motor Skills . 103(2), 486-94.
  • Zak TA, Cliff JH, Siegfried JJ. (1979). Production efficiency: The case of professional basketball. The Journal of Business, 52(3), 379-92.