Sports Creators on TikTok: 221 Indexed

This is the pool of Sports creators on TikTok within Entertainment — 221 of them. The narrower the niche, the higher the reply rate; searching broadly for "Entertainment creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• Median following is 47,321, 7.3× the index-wide median of 6,482 — expect higher rate cards.
• 81% have recent content captured for judgement versus 41% overall — better-evidenced than average.
• A and B grades are 20% of this slice versus 34% overall — expect to screen through more names to find usable ones.

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

• Equipe de France (@equipedefrance) — Equipe de France matches and results

• MLB (@mlb) — MLB game highlights and home runs

• Indosiar Sports (@indosiar_sports) — Piala Presiden 2026

• Daniel Braune (@braune) — 巴西足球转会市场

• Sky Sports (@skysports) — Premier League predictions and tables

• SPL (@spl) — SPL比赛预告与回顾

• CBS Sports (@cbssports) — NBA交易与伤病

• no soy messi (@soymessii) — Humor sobre partidos de Argentina y México

• Franklin Medrado (@franklinmedrado) — Copa do Mundo 2026 e convocados da seleção

• sport tv (@sporttvportugal) — Primeira Liga matches and highlights

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

"Sports" 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.