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The purpose of this study is to analyze the Serbia UEFA Futsal Euro 2016 competitions in terms of some variables. Range of goals scored by winner and defeated teams in form of 5 minute periods, shots on goal, corner, contributing to the score by starting 5 and substitutes, fouls, yellow-red cards, the range of goals according to shot techniques and goal zones were examined. While a total of 129 goals were scored with an average of 6.45 goals per game, with 25 goals (19.38%) most goals was scored between 36 and 40 minutes. 41.1% of goals were scored in penalty area, 58.9% of goals were scored from outside penalty area. While the rate of shots on goal in winner teams was 55.6%, this rate in defeated teams was 44.4%. In winner teams the players started in first 5 scored 50 goals (56.8%) and players joined from bench scored 38 goals (43.2%) and in defeated teams the first 5 scored 21 goals (60%) and the players joined from bench scored only 14 goals (40%). Winner teams while playing with flying keeper has scored 1 goal (16.7%) and conceded no goal; also, the defeated teams have scored 5 goals (83.3%) and conceded 13 goals when flying keeper in game. Substitutions in winner teams scored 133 goals, in defeated teams only 31 goals were scored by substitutions. As a result; accurate shots on goal, scoring in between 36-40th minutes, starting in first 5 and also joining from bench are accepted as an important factor to win a match, but despite providing an advantage of attacking with more player, the flying keeper tactic is not considered an effective element of winning the game according to the analysis of the data.

This study was conducted to examine the ball possession and passing success percentage of successful teams in 2014 FIFA World Cup. The data were obtained from international TV channels publishing competitions and the database of the website of the Fédération Internationale de Football Association-FIFA through official overviews of the games. So the parameters such as ball possession percentages, passing attempted, passing success percentages, accurate and non-accurate passes of successful teams in matches were analyzed. These performance indicators were analyzed by e-Analyze Soccer computer program. The data obtained in this study was recorded in SPSS 16.0 program and interpreted by calculating frequency and percentage values. Ball possession percentages of the successful teams vary between 50.32% and 56.71%. Among 17102 passing attempts of successful teams, it was determined that 13378 were successful having a high rate of passing success such as 78.22%. As a result, in the organizations such as World Cup which elite athletes participated, while successful teams had high rates of the ball possession it can be said that having the ball in midfield and offensive region and passing attempt, successful passing scores, passing success percent at a high level are the most basic principles that bring success.

Bu çalışma, ergenlerin farklı fiziksel faaliyet alanlarındaki fiziksel olarak aktif olma yeterliğini değerlendirmek için Campbell ve ark., (2016) tarafından geliştirilen 5 boyut (Okulda, Ulaşımda, Ev içi, Boş zaman ve rekreasyon, Okul içi gezinti ve ulaşımda) ve 26 maddeden oluşan Fiziksel Aktivite Yeterliği Ölçeğinin (FAYÖ) Türkçeye uyarlanması amacıyla yapılmıştır. Materyal ve Yöntem: Bu ölçeğin Türkçeye çevirisinde Brislin'in (1986) yöntemi kullanılmıştır. Çalışmaya, Muğla ilinde Fen Lisesi ve Anadolu Liselerinde öğrenim gören toplam 205 lise öğrencisi gönüllü olarak katılmıştır. Ölçeğin faktör yapısının geçerli bir model olup olmadığının ortaya konulması için verilere hem Açıklayıcı Faktör Analizi (AFA) hem de Doğrulayıcı Faktör Analizi (DFA) uygulanmıştır. Bulgular: AFA'ya göre tüm maddelerin faktör yükleri 0,405 ile 0,924 arasında değişmektedir. Ayrıca güvenirlik analizine göre, "ulaşımda" boyutu oldukça güvenilir iken, diğer tüm boyutlar yüksek derecede güvenilirdir. Diğer taraftan, DFA sonuçlarına göre ölçme modelinin uyum değerleri X 2 =559.7, df=289, X 2 /df=1.93; CFI=0.950, IFI=0.951, NFI=0.903; RMSEA=0.068 olarak bulunmuştur. Sonuçlar: Uyum ölçütleri değerlerinden X 2 /df iyi uyumu gösterirken, diğer ölçütlerin değerleri kabul edilebilir uyumu göstermiştir. Sonuç olarak, Fiziksel Aktivite Yeterliği Ölçeğinin Türk Kültürüne uygun olduğu söylenebilir ve ergenlerde farklı fiziksel faaliyet alanlarında fiziksel aktivite yeterliğini belirlemek için kullanılabilir.

The purpose of this study is to analyse by examining team performances according to the preferences of the competition analysis methods of soccer coaches. 332 volunteering soccer coaches participated in the study. To demonstrate the team performance of the coaches, the data in Turkey Football Federation's official website were investigated with document analysis techniques. The analysis of the data obtained from the study was saved in SPSS. The differences between coaches from different groups were examined by t-test and one way analysis of variance (Anova). To find out which group cause the difference when there is a difference between groups and the variants are equal, Tukey HSD test were used. Significant level was accepted as p<0.05. Of the soccer coaches who participated Özet Bu çalışmanın amacı, futbol antrenörlerinin müsabaka analizi yöntemlerini tercih etme durumlarına göre takım performanslarının incelenerek analiz edilmesidir. Araştırmaya toplam 332 futbol antrenörü gönüllü olarak katılmıştır. Antrenörlerin takım performanslarını ortaya koyabilmek için Türkiye Futbol Federasyonu'nun resmi web sitesindeki veriler döküman analizi tekniği ile incelenmiştir. Elde edilen tüm veriler SPSS programında kaydedilmiştir. Farklı gruplardaki antrenörler arasındaki farklılıklar t testi ve tek yönlü varyans analizi ile (Anova) incelenmiştir. Gruplar arasında farklılık oluştuğu ve varyansların eşit olduğu durumlarda, farkın hangi gruplar arasında olduğunu bulabilmek için Tukey HSD analizleri kullanılmıştır. Anlamlılık düzeyi p<0.05 olarak kabul edilmiştir.

This research was carried out for investigation of 10-12 age soccer players' agility performance according to age. 53 male soccer players attended in this research voluntarily. Illinois agility test was used in the assessment of agility performance. Collected data was recorded in SPSS program. One Way Variance Analyze (ANOVA) was used for determination of differences in different group soccer players. When difference was discerned among groups, Tukey HSD analyses were used for detecting which groups cause this difference. Significance level was accepted as p<0.05. According to research results, significant differences were determined among 10, 11 and 12 age group soccer players' agility performances (p<0.01). The sources of differences were those, 12 age group soccer players according to 10 and 11 age group showed better performances. Consequently, It can be said that agility feature consisting suddenly stop, change direction and acceleration actions are effected by age in these groups.

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