Průběh a optimalizace strategie na kurzové sázení

The topic of my bachelor thesis is “The course and optimization of the betting strategy”. Based on the collected and processed data. This work deals with examining the functionality of the NHL betting strategy. The aim of this work is to create a program that processes data about NHL matches. From the results of the program, it will be possible to verify how the strategy would work with its optimizations for a certain team in the seasons. The work is divided into two main parts, theoretical and practical. The theoretical part focuses on the explanation of basic concepts in the field of betting together with several numeric data and the strategy of Martingale. The practical part deals with the devised strategy of betting on NHL matches based on the Martingale strategy, which required extensive data collection and preparation. The main part of the practical part is a program created in Java with six computational methods that verify the operation of various optimization strategies in recent NHL seasons. Each method is a bit modified and a certain version of the strategy. The outputs of the program are processed, and conclusions are drawn from them. In conclusion, it was found that optimization, which should have terminated the strategy prematurely under certain conditions due to a lower risk of loss, is not effective in this consideration. To mention some other findings, there are high maximum returns for the team for riskier strategies method_1 and method_2, especially for worse league teams. Also, relatively consistent gains with a safer method_3 strategy. This new gained knowledge, together with the created program and processed data about NHL matches in the last four seasons, is the benefit of this bachelor's thesis.