Football is the world's favorite sport, played in most countries. The phenomenon is that football unites people of every nation, language, race, religion and political belief. Even more popular are countries such as the United Kingdom, Brazil, Germany and Spain. The overall total attendance at English Premier League matches reached 13,165,416 in the 2011/2012 season. As the most popular sport in Brazil, 6.7 million fans attended football matches in Brazilian stadiums during the 2009 season. Football is also one of the most profitable entertainment industries in the world. In the 2011/12 season, the European football market grew to €19.4 billion and its revenue was €1 billion compared to the German Bundesliga, runners-up in 2011/12. The aim of this report is to analyze the demand football clubs face and the ticket pricing strategies and drivers. To clarify this issue, I will divide the article into three main parts. The problems I will try to answer in the first section are what the market structure is in the football sector and how stochastic demand changes. The second section explains the method for solving the time problem of selling season tickets and single tickets. The last section explores what the strategies and determinants of ticket pricing are. Many studies on the factors that influence sports consumption have been published in the economic literature. It is generally represented by participation in sporting events. Economic models have been widely applied to analyze the factors determining spectator participation, and this method has been applied to various sports. Demand for football Sports clubs as monopolists In the short term, the sup...... middle of paper ..... set of switching times τ∈[t,T] en(τ)=[n(t)- NB(τ)+NB(t)]+, x+ = max{0, x}. To decide whether delaying the switching time is advantageous, the expected revenue of the immediate switching at time t, which is Π(t,n (t), should be compared with the expected revenue of the next step up to time τ (t ≤ τ ≤ T), which is E[ pB((NB(τ) –NB(t)) ∧ n(t)) + Π(τ,n(τ))] An infinitesimal generator G with respect to the Poisson process (t, NB(t)) for a The uniformly grouped function g(t, n) is defined to carry out the comparison.G g(t , n) = 〖lim〗┬(Δt→0)⁡〖1/Δt〗 E[g(t+Δt,n-NB (Δt))-g(t,n)]= 〖lim〗┬(Δt→ 0)⁡〖1/Δt〗 ∑_(k=0)^∞▒〖[g(t+Δt,(nk)〗 +)-g(t,n)]〖(λ_B Δt)〗^k/k ! e^(-λ_B Δt)= 〖lim〗┬(Δt→0)⁡〖1/Δt〗 [(g(t+ Δt,n)-g(t,n))(1-λ_B Δt)+(g (t+Δt,n-1)-g(t,n)) λ_B Δt]= 〖lim〗┬(Δt→0 )⁡〖1/Δt〗 (g(t+Δt,n)-g(t, n)) + 〖lim〗┬(Δt→0)⁡〖1/Δt〗 (g(t+Δt,n-1 )-g(t+Δt,n))= (∂g(t,n)) /∂t+λ_B [g(t,n-1)-g(t,n)