Modeling Player Performance in Battlefield 4
Videogame, Battlefield 4, Player Statistics, Machine Learning
Battlefield 4 is a first person shooter game distributed worldwide on various console platforms such as the PS3, XBOX and PC. Players compete against one another to complete different game objectives whether it be flag carrying, getting kills or controlling a designated area. This capstone collects tens of thousands of player data on the XBOX ONE platform, in an attempt to analyze which players are most successful and why they are in the game. The method used to obtain player statistics include web scraping and API calls. The data includes the kill stats of each player on the XBOX ONE as well as what weapons and vehicles they used, how accurate their weapon usage is within the game and how effective they are with certain vehicles. With the data collected, the capstone summarizes what separates top Battlefield 4 players from the rest of the player base and also attempts to find additional patterns that is reflected by the game data.