Esports Creators on Douyin: 21 Indexed

This is the pool of Esports creators on Douyin within Gaming — 21 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 800,194, 192.8× the index-wide median of 4,150 — expect higher rate cards.
• A and B grades are 81% of this slice versus 37% overall — a denser pool, so the same screening effort yields more usable names.
• 81% have recent content captured for judgement versus 46% overall — better-evidenced than average.

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

• AG超玩会一诺 (@3390506502726872) — KPL summer season match report and review

• 天神馆主叶墨 (@2264621766161854) — Light manga project

• KPL王者荣耀职业联赛 (@63922476053) — KPL Summer Season highlights and five-kill legends

• AG超玩会王者荣耀战队 (@94768245446) — KPL Summer Split schedule and results

• 英雄联盟赛事 (@1390202387969948) — LPL Match Highlights and Gameplay

• 无畏契约电竞 (@3259371071216349) — VCT CN Stage 2 schedule and format

• 大胜CS2 (@68333993158) — CS2 pro matches

• 小钰_Hilda🐟 (@93365281805) — Hand dance challenges

• 顾风解说CS2 (@1163705062010044) — CS2 clutch 1v5 comeback highlights

• 英雄联盟TOP1 (@111579741120) — LPL match results and analysis

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.