Amouranth is the only woman in the top 100 streamers across both Twitch and YouTube

She was ranked 56th overall in Q2 of this year.

amouranth-top-100-twitch-youtube
Screengrab via Amouranth on YouTube

Popular Twitch star Kaitlyn “Amouranth” Siragusa was the only female streamer in the top 100 based on hours watched across all platforms, including Twitch and YouTube, in the second quarter of 2022.

Based on a report conducted by Stream Hatchet, the entrepreneurial Twitch star was the 56th most-watched streamer on the list.

People tuned into her stream for 8.2 million hours between April and June.

Her numbers are far lower than the top three, Felix “xQc” Lengyel, Alexandre “Gaules” Borba, and Zack “Asmongold” Hoyt, who had 70.6 million hours watched, 57.7 million hours watched, and 40.1 million hours watched, respectively.

Still, she was the only female streamer to make the cut. Notable absences include big names like Imane “Pokimane” Anys, Rachell “Valkyrae” Hofstetter, and VTuber Ironmouse.

Screengrab via Amouranth on Twitch

It’s not surprising to see Amouranth dominating viewership compared to other women in the scene. She has been thriving. However, her main rivals have also been less active than usual, which helped a lot.

Nevertheless, their absence from the quarterly top 100 list exposes how one-sided the streaming industry is. In 2017, Twitch reported that 81.5 percent of users on the platform were male, while 18.5 percent were female.

The gap has narrowed quite a bit since then, though. In 2019, it reduced to 65 percent and 35 percent, and in 2021, it was more or less the same at around 67 percent and 33 percent.

Screengrab via Ironmouse on Twitch

As a result, the number of leading female streamers is growing. They’ve paved the way for others to follow, and if this trend continues, more will appear in the top 100 in future quarterly reports.

This is especially true now that VTubers, most of which are female, are exploding in popularity left, right, and center, too.

It will be interesting to see how this impacts the data moving forward.