The aim of this work is to describe progaming scene development since its beginings till present days. Also I would like to focus to progaming importance for current world. To achieve this goal I analyse individual years since 1997 till 2016 and I sumarize state of the current progaming scene. In this work I describe professional players chracteristics and I also describe various game types, some individual games, competitions, tournaments... In analysed years there are described prize money, players counts in tournaments and coutnry origins of players. In conclusion there is shown development of these statistics in the whole analysed period of time. Outcome of the statistics development in time is detailed overview of progaming scene including its current importance.

The present doctoral thesis addresses the insufficient exploration of the concept of play style in current video game player's research. To reach the goal, theoretical framework of style as an intentional model of player's believes and desires is used. The main proposition of this particular paper is based on the presumption that play style works as a tool for predicting opponent's behavior. The research consists of two parts. The first one proposes a categorization which might in greater accuracy explain existing forms of play. The second part researches the topic of intentionality further through the procedural model of style prediction in progaming area, which is exemplified by the video game League of Legends. The results are based on extensive analysis of players' texts, interviews with semiprofessional players, commentators and game journalists. The conclusion implies a significant number of play styles and procedural complexity of recursive theory of mind ("I think about what you think that I think") in the field of video games. Keywords: Play Style, Intentionality, Intentional Model, Metagame, Metacognition, Mindgame, Progaming, Theory of Mind, Player Typology, Video Game

E-Sports, also known as progaming (professional gaming) has grown a lot in the last few years. Professional gamers are regularly attending tournaments watched by hundreds of thousands of fans and with prize pools of millions of dollars. There are many video broadcasts of those events and recently betting on e-Sports has also become available. The main goal of this thesis was to create a mobile app for OS Android, which aims to utilize this growth and create a service of providing predictions of results of the e-Sports matches, similar to that existing in regular sports. The application in its current form receives the predictions via Google Cloud Messaging service and shows an Android notification on their arrival. The predictions are then stored on the device into SQLite database so they are available for further view and filtering. After the matches are finished, their results are shown in comparison to the predictions and balance of the predictions is calculated. Users can display information about their subscriptions and predictions under that subscriptions. The app was created in Android Studio IDE with appearance based on the material design guidelines. The app was tested on several devices of different brand and Android version, then it was placed on Google Play for open beta testing. In the future the app will be offered to the users of the service of providing predictions of results of the e-Sports matches.