نتایج جستجو برای: iran premier league had higher balance during 1995
تعداد نتایج: 3296642 فیلتر نتایج به سال:
The English Premier League is well-known for being not only one of the most popular professional sports leagues in world, but also toughest competitions to predict. first purpose this research was verify consistency between goal scoring and Poisson process; specifically, relationships number goals scored a match distribution, time throughout course season exponential location during football ga...
Despite their importance, referees are an often overlooked part of professional football. Referees integral the global game and required for fixtures to take place competitions occur. The English Premier League (EPL) provides a unique backdrop consider development within league, from formation up until present day. have dealt with numerous changes, developments technological advancements contin...
according to cheng (1999), in recent esl/efl literature, asian (especially east asian) learners of english as a foreign/second language have been arguably reported as reticent and passive learners. the most common allegations are that these students are reluctant to participate in classroom discourse; they are unwilling to give responses; they do not ask questions; and they are passive and over...
In this paper, using the Data Envelopment Analysis (DEA), we have measured the technical efficiency of cricket teams in the Indian Premier League. Taking the data for the 2009 season, the input used by the teams is approached by the total expenses which include players’ wage bill and wage of the support staff and other miscellaneous expenses. Output is measured by the points awarded, net run ra...
Purpose This article provides a plain language commentary on the distributive equity structure of English Premier League (EPL) with aim introducing sport business practitioners to foundational challenge facing professional leagues as they grow financially market opportunities, namely financial inequality between clubs. Design/methodology/approach Introducing and discussing data from seasons 200...
Analyzing the neutrality of referees during 12 German premier league (1. Bundesliga) soccer seasons, this paper documents evidence that social forces influence agents’ decisions. Referees, who are appointed to be impartial, tend to favor the home team by systematically awarding more stoppage time in close matches in which the home team is behind. They also favor the home team in decisions to aw...
the aim of this study was to determine the relationship between autonomy-supportive behaviours of coaches and sport commitment of iranian elite fencing players. this study used a descriptive correlation field method. the statistical population were comprised of all fencing players of premier league in iran and the statistical sample equalled the population (n=114). in order to collect data, dem...
the relationship between leadership styles of coaches and satisfaction of iranian elite judo players
the aim of this study was to determine the relationship between leadership styles of coaches and satisfaction of iranian elite judo players which was carried out by a descriptive – correlation field method. the statistical population of this study consisted of all 162 judo players of premier league in iran. statistical sample consisted of 125 judo players based on morgan sample size table. in o...
The purpose of this research was to level the relationships of professional competencies of Iranian football referees. The statistical population of this study included 13 experts, referees, experts, and faculty members who were purposefully selected. For the level of competency components of football referees, the interpretative structural modeling technique (ISM) was used by MATLAB software. ...
In this report, we predict the results of soccer matches in the English Premier League (EPL) using artificial intelligence and machine learning algorithms. From historical data we created a feature set that includes gameday data and current team performance (form). Using our feature data we created five different classifiers: Linear from stochastic gradient descent, Naive Bayes, Hidden Markov M...
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