Tag Archives: Football

A Discourse Analysis of Selected Football Texts (Published)

This study investigates the discourse analysis of football texts. The choice of football texts from the Nigerian newspaper was motivated by my personal interest in football and the popularity soccer has gained in recent years across the world. The study covers the football texts selected from Complete Sports which dominated the Nigerian sports’ news market. The largest number of sports lovers across the country source their information on sports most especially football news from the selected newspaper based on its popularity and accurate reporting of sporting activities the world over. Lead article from each of the newspaper were selected for a period of one month during 2010 world cup making a total of 30 lead articles. Ansary and Babai 2005 discourse Generic Structure Potential was applied to unmask the discourse structure of football text in newspapers and it contextual configuration. Talking about the discourse Generic Structure Potential (GSP), it is the total structural resources of text genre. This organizational sequencing are classified as obligatory, optional and recursive elements. Each of these classifications serves specific purposes or functional role in the texts.

Keywords: Discourse, Football, Generic structure, Genre, Sequencing, structural resources

Stochastic Modelling/Game Theory Analysis of Scoreline (Published)

Prediction of a football match result arouses interest from different points of view; for different people, Hence the need for this work which aims at analysing the scores of the four top English clubs to enable prediction of future outcome of matches to be made in a more scientific manner. From the analysis of the scoreline of the top four EPL clubs; Manchester United (M.U), Chelsea (C), Arsenal (A), and Manchester City (M.C) from (2002-2015) using Game theory and Stochastic modelling, Chelsea emerged the best team with a selection probability of  0.41  while Manchester United also emerged second best with a selection probability of 0.37. From the steady state transition probability matrix, for all the six possible pairs of the four clubs shows that the probability of M.U wining C at home is 0.44 while C wins M.U at home with probability  0.67 depicting C as the stronger club. Similarly M.U is stronger than A, with a 0.71 winning probability as against 0.25 winning probability for A, while M.U and M.C appears to be equally matched with 0.48 and 0.49 probability of winning. C against A reveals a probability of 0.58 and 0.25 for A vs C. while C vs M.C showed C to have an upper hand with a 0.71 probability of winning and 0.44 for M.C vs C. Finally A vs M.C gives the two teams 0.53 and 0.42 winning probabilities. Thus, the two most viable clubs out of the four clubs are Manchester United and Chelsea. Using the four step TPM we also predicted the 2015/2016 matches to obtain their various probabilities given the previous game.

Keywords: English Premier League, Football, Game theory, Operations Research, Prediction, Stochastic modelling

Stochastic Modeling/Game Theory Analysis of Scoreline (Published)

Prediction of a football match result arouses interest from different points of view; for different people, Hence the need for this work which aims at analysing the scores of the four top English clubs to enable prediction of future outcome of matches to be made in a more scientific manner. From the analysis of the scoreline of the top four EPL clubs; Manchester United (M.U), Chelsea (C), Arsenal (A), and Manchester City (M.C) from (2002-2015) using Game theory and Stochastic modelling, Chelsea emerged the best team with a selection probability of  0.41  while Manchester United also emerged second best with a selection probability of 0.37. From the steady state transition probability matrix, for all the six possible pairs of the four clubs shows that the probability of M.U wining C at home is 0.44 while C wins M.U at home with probability  0.67 depicting C as the stronger club. Similarly M.U is stronger than A, with a 0.71 winning probability as against 0.25 winning probability for A, while M.U and M.C appears to be equally matched with 0.48 and 0.49 probability of winning. C against A reveals a probability of 0.58 and 0.25 for A vs C. while C vs M.C showed C to have an upper hand with a 0.71 probability of winning and 0.44 for M.C vs C. Finally A vs M.C gives the two teams 0.53 and 0.42 winning probabilities. Thus, the two most viable clubs out of the four clubs are Manchester United and Chelsea. Using the four step TPM we also predicted the 2015/2016 matches to obtain their various probabilities given the previous game.

Keywords: English Premier League, Football, Game theory, Operations Research, Prediction, Stochastic modelling