Shadowverse: Worlds Beyond from the Perspective of Game Theory

This bachelor's thesis examines the card game Shadowverse: Worlds Beyond from the perspective of game theory. The aim of the thesis is to use Monte Carlo simulation to evaluate which game plan (a combination of a competitive deck and a strategy) achieves the best results within the tested set and under conditions of uncertainty based on the Laplace criterion and the maximin criterion. The theoretical part introduces game theory, decision-making criteria, statistical and algorithmic tools, and the game Shadowverse: Worlds Beyond. The practical part describes a simulation program implemented in C#, three selected competitive decks, and three proposed strategies. For each pair of game plans, in both basic and extended simulations, 10,000 iterations are performed and the obtained results are supplemented with 95% confidence intervals. The results show that within the tested sets, no game plan is strictly or weakly dominant. In both simulations, under the implemented simplifications, the Swordcraft Midrange deck with a full control strategy emerges as the optimal choice when the game environment is unknown and simultaneously as the best choice according to the maximin criterion.