Fans-driven (football) player rating system

• Main Author: Lee, Ming Wei
• Format: Final Year Project / Dissertation / Thesis
• Published: 2024
• Subjects: T Technology (General); TD Environmental technology. Sanitary engineering
• Online Access: http://eprints.utar.edu.my/6985/1/fyp_CS_2024_LMW.pdf; http://eprints.utar.edu.my/6985/

Football is a team sport that relies on the collaboration of eleven individuals working together to make a solid squad. Two sides engage in an exciting battle on the sacred pitch, overseen by the referee's watchful eye. Within this competition, players demonstrate not just their inherent powers but also their perfected skills, all with the aim of triumph in mind. Undeniably, within the realm of football, exists an opportunity to establish a strong bond between the players and their eager fans. This proposal mainly focuses on developing a mobile application about fan-driven player rating system, an innovative platform allowing fans to evaluate players based on a multifaceted field of attributes, from the dribbling skills to the precision of shooting accuracy, from the artistry of assists to the bravery of defenders, midfielders, and strikers, and lastly, from the resilience of goalkeepers to the potential of keeping clean sheets. The application's goal is to regulate computer methods that anticipate match scores based on fan ratings and give a unique perspective on player performance. Moreover, the ratings provided by fans play a crucial role, as they have a direct impact on the daily rankings displayed on the leaderboards. Furthermore, the system envisions partnerships with football clubs for active player data administration. In the realm of players' data, an effective solution develops – the system will crowd-sourced data from the fans themselves. The data could be pulled from sources such as official website or Wikipedia, which contributed by fans. To protect the value of this origin, responsibility will be assigned to a group of trusted fans, preventing the unpredictable winds of constant change. Utilizing Flutter and programmed in Dart, this project's mobile application integrates Firebase and football APIs for its core functionalities. Providing features such as rankings, ratings, prediction, and the ability to choose favourite players, the app offers users an immersive platform to express their thoughts and insights. The team creation feature offers football enthusiasts a platform to construct their ideal squads. Fans can assemble teams based on player performances, and the system can generate an optimal starting eleven according to user preferences.