  In the past few decades, there has been an increasing need for Internet users
to host real time events online and to share their experiences with live,
interactive audiences. Online streaming services like Twitch have attracted
millions of users to stream and to spectate. There have been few studies about
the prediction of streamers' popularity on Twitch. In this paper, we look at
potential factors that can contribute to the popularity of streamers. Streamer
data was collected through consistent tracking using Twitch's API during a 4
weeks period. Each user's streaming information such as the number of current
viewers and followers, the genre of the stream etc., were collected. From the
results, we found that the frequency of streaming sessions, the types of
content and the length of the streams are major factors in determining how much
viewers and subscribers streamers can gain during sessions.
