Being competitive is a core element of human nature
and rating systems are a great tool for satisfying the need of ranking players
for the skills they demonstrate. But the games of today have left rating
systems behind in their evolution, making it more and more unlikely that
individual players are evaluated fairly for their performances. The goal of
this study is to gain a deep understanding of different variations of rating
systems and the environments they are used in, and to use that information to
build and test a new feature for rating players. Using a skill-based rating
system known as TrueSkill as a reference point, a dataset is gathered with the
help of volunteers. The resulting implementation is based on idea of rewarding
those individuals who performed well in a game but were on the losing side of
the match. With this change to the rating system, we believe that it makes it
worth for performing well even in situations that seem unwinnable, resulting
less quitting from online team matches, and overall better player enjoyment.
Based on the findings, we introduce an experimental performance analyzation
system that tracks individual performances within a team setting.