Esports Creators on Xiaohongshu (RED): 29 Indexed

This is the pool of Esports creators on Xiaohongshu (RED) within Gaming — 29 of them. The narrower the niche, the higher the reply rate; searching broadly for "Gaming creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• Median following is 63,700, 15.3× the index-wide median of 4,155 — expect higher rate cards.
• A and B grades are 59% of this slice versus 37% overall — a denser pool, so the same screening effort yields more usable names.
• 0% publish an email or IM handle against 6% index-wide — more dependent on platform DMs, so outreach costs more here.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• KPL王者荣耀职业联赛 (@49313573833) — KPL match previews and schedules

• 大大t游戏解说 (@5272579332) — CS2/donk dry pull commentary

• 阿远说游戏 (@390912209) — Game highlight compilations

• 王者荣耀全国大赛 (@49321632921) — King of Glory National Competition

• PEL和平精英职业联赛 (@49313946788) — PEL Summer Split and Grand Finals

• 玖言（榜首电竞） (@kjyyds1015) — Delta Force escort service

• 沐宇呀（老六电竞） (@94916077783) — Delta Action escort

• 宅哥游戏解说 (@3813584411) — FPS shooting game commentary

• 小阿飞游戏解说 (@4174827027) — Honor of Kings reactions and cosplay

• 北京WB王者荣耀分部 (@1099462407) — KPL Summer Split schedule and match previews

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Top 6 countries

Why this niche deserves its own view

"Esports" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.