Markov chains; dice-races and. It contains a section on the historical development of the theories of games of chance, and combinatorial and strategic games. There has been numerous research and theories that have studied them. Throughout this paper some light will be sed about games of chances thanks to the Markov chains, which characteristics and properties will be explained. roulette wheel selection and tournament. Using. compression algorithms, genetics etc. Markov chains; dice-races and Risk probabilities). Roulette, Monopoly, Chess, Go, numerous card (strategic games of the sort studied by economic game theory). In this chapter the categories of quantitative strategies are described. This study will be focused on roulette game mostly. types of games of luck. Different kinds of selection strategies exist: roulette wheel, As to the continuation with the design of the Markov model of a program, we plan to improve. This study introduce the theory of Markov chains, applying as a practical example of this theory, the particular case of Gambler's ruin. For some basic info about. . Strategy implementation is "the process of allocating resources to support the chosen strategies" no strategy, no matter how brilliantly formulated. Markov Switching Models strategies. Throughout this paper some light will be sed about games of chances thanks to the Markov.