Esports Creators on Twitch: 92 Indexed

This is the pool of Esports creators on Twitch within Gaming — 92 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 45,309, 10.9× the index-wide median of 4,155 — expect higher rate cards.
• A and B grades are 79% of this slice versus 37% overall — a denser pool, so the same screening effort yields more usable names.
• 85% 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

• MrSavage (@mrsavage) — Fortnite competitive events (FNCS, LCQ)

• Khanada_ (@khanada_) — Fortnite tournaments (FNCS, LCQ, Cash Cups)

• @buckefps — FNCS tournaments and grand finals

• @faxuty — FNCS tournaments and qualifiers

• Lobanjicaa (@lobanjicaa) — CS:GO pro players like s1mple

• @shanks_ttv — VCT tournament Watchparty

• FURI (@furi) — FACEIT ELO climbing

• @curry — VCT pro matches and teams

• PapiBlast (@papiblast) — Call of Duty competitive play

• @brasilfpss

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.

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.