Worried these creators won’t reach real, engaged players? Our AI checked content semantics, engagement, audience geo/gender and ran fraud filters — every channel here passes those tests. Browse the list, pick matches, and start a campaign in minutes with exports and ready-to-run reports.
Discover Top Rocket League Creators For Campaign Wins
We curated this Top-20 of rocket league youtubers by scanning content semantics, hashtag clusters and audience signals - each channel vetted for engagement, reachability and fraud so you can explore, find and pick creators fast.
Metrics refresh on a rolling last-30-day window; profile stats and recent-posts update in seconds after you paste a handle. ER%, views, and cadence are normalized for fair cross-platform comparisons.
Yes. After signup you can export the curated Rocket League YouTuber list into share-ready formats - Profiles (PDF/JSON), Favorites (CSV) and the Media Plan as a live Google Sheet for shortlisting and approvals. Exports require sign-in.
We run layered checks on audience activity - sudden subscriber spikes, abnormal engagement distributions versus subscriber counts, repeat commenter/networks, and view patterns across recent videos. Semantic match between comments and content, plus geographic/language consistency, flags inauthentic pockets for review.
Yes. We standardize Instagram, TikTok and YouTube metrics - ER%, views, posting cadence - so you can view creators side-by-side in one grid, compare audience breakdowns (gender, geo, language), and paste a handle to refresh profiles and stats in seconds.
Yes. Shortlist creators from this Rocket League set, then send them to the Media Plan Builder - it creates an apples-to-apples Google Sheet with L30D subscribers, ER%, min/avg/max views, posts/mo, audience buckets and outreach fields for collaborative approvals. Exports require sign-in.
We convert each platform metric into a common scale using last-30-day baselines. ER% is computed as likes+comments relative to subscribers with cadence context applied; views use min/avg/max bands from recent-post distributions; posting cadence is normalized to posts/month. Together these normalized fields enable fair side-by-side comparisons.