Methodology
HypeTracker measures the hype of upcoming video games as the total measured views of the videos that carry each game on YouTube — official trailers and media coverage on one side, creator buzz on the other — collected daily, with full history kept.
Where the data comes from
View counts come from the official YouTube Data API, read from each video's public counter. Collection runs once a day for every tracked video; every reading is stored, never overwritten. No scraping of private data, no estimates: if a number is on the site, it existed on a public YouTube counter at a dated moment.
The two-score model
Each game has two scores, never blended. The trailer score sums the views of videos published by official and media sources: publishers, platforms, event channels, specialist press. The buzz score sums the views of community videos: creators, re-uploads, analyses, reactions. The overall score is their sum. A video is matched to a game by title (tolerant to accents and languages) and counted once; if it appears on both the official and community side, it is counted on the official side only.
What is excluded, and why
Fakes, fan-made trailers, parodies and AI recreations are excluded from all scores — hype for a video that isn't the game is not hype for the game. "All trailers" compilations are excluded to avoid double counting. Reaction and analysis videos never count as trailers; they feed the buzz signal only. Off-topic videos caught by title homonyms are filtered out automatically and on review.
Human corrections
Automatic classification is reviewed. A human verdict can correct any video's status at any time, takes effect immediately, and overrides automation permanently. The per-game audit trail shows every video with its status — counted or excluded — and the reason.
Comment analysis: summaries and debates
HypeTracker doesn't just measure views: the site also reads what the community writes. Every night, public comments from tracked videos are collected via the YouTube API. For each game discussed enough, a weekly summary is produced by a language model from that corpus: what excites people, what worries them, what divides them — illustrated with quotes taken word for word from real comments.
When a controversy grows — around one game or across several — it gets a debate page: the context, the question at stake, the positions involved with their estimated weight in the discussion, and arguments backed by quotes. Every quote is checked automatically: it must exist verbatim in the collected corpus, otherwise it is discarded.
These analyses are descriptive and never enter the scores or the ranking. The percentages on a debate page estimate the split of opinions among the comments analyzed — an honest order of magnitude, not a representative poll. Every page shows its corpus size and last-updated date, and a human review can correct or unpublish a page at any time.
Known limits
- YouTube only, for now. Views on other platforms (TikTok, X, Twitch) are not measured; announced figures like "views across all platforms" are publisher statements, not comparable to our counts.
- Views are not sales. Hype measures attention, not purchase intent.
- View counters are YouTube's. We measure them faithfully; we do not audit how YouTube counts a view.
- Coverage starts at tracking time. For games added late, buzz published before tracking is captured progressively, not exhaustively.
- Engagement (like rates, comment volume) is shown as descriptive context and never enters the ranking.
Citing HypeTracker
Our figures may be reused with attribution: "Source: HypeTracker" with a link to the cited page. Every number on the site is dated; when quoting, include the date shown. Journalists can request charts, per-game time series or methodological detail via the contact page — usually answered within 24 hours.
Some game artworks are provided by the RAWG.io database.