Radar / Methodology
How SteamBuddy Radar works
Steam does not publish wishlists, sales or revenue. SteamBuddy Radar estimates them from public signals and always shows a low to high range. The ranges are built to size a game (thousands, hundreds of thousands or millions), not to report exact figures.
01
What Radar tracks
Which games
Radar follows the top 3,000 upcoming games in Steam's popular upcoming list, which Steam orders by wishlist activity, plus every game released in the last 180 days that has at least 20 user reviews. Games that leave both lists stop updating after 14 days but keep their page and history.
Daily data points
Steam followers (from the game's Steam community hub), user reviews and percent positive, players online (Steam Web API), Twitch live viewers (Twitch API, matched to Steam through IGDB), position in Steam's popular upcoming list, and price. Store details such as tags, description, screenshots, demo and languages come from the Steam store.
02
How the estimates are calculated
Estimated wishlists (upcoming games)
Followers multiplied by 6x, 10x and 15x for the low, middle and high case. Published developer data puts wishlists at roughly 6 to 15 times followers for unreleased games, with genre and marketing mix moving the ratio. Released games use 4x, 7x and 11x.
Estimated owners (released games)
The Boxleiter method: user reviews multiplied by 30x, 45x and 60x for games released in 2020 or later, and 50x, 70x and 90x for older games, which collected fewer reviews per buyer. Free-to-play games show estimated players instead of owners and no revenue.
Estimated revenue
Owners multiplied by list price and a realised price factor that accounts for discounts and regional pricing: 0.85 in the first 90 days, 0.78 up to one year, 0.70 after that. Net revenue applies Steam's 30% share and about 8% for refunds and chargebacks (a factor of 0.644). Taxes and later revenue share tiers are not modelled.
Momentum
7 and 30 day changes compare the newest value with the oldest value inside that window. Gaps in collection never count as zero: a missing day is skipped, and a game needs at least two data points before Radar shows a trend.
03
Quick score
What it measures
The quick score uses only what SteamBuddy measures in code from the store page: description structure, tag coverage, whether the top tags appear in the copy, store features players filter by, above the fold media, social proof or pre-launch signals, offer and demo signals, and page completeness against the game's genre. It is scaled to 100.
The full SteamBuddy audit adds capsule art, copy quality, differentiation and competitive review, then writes the fixes and replacement copy.
04
Limits
Read the ranges, not the midpoint
Follower to wishlist ratios vary widely between games, and review rates differ by genre, price and audience. Treat every estimate as an order of magnitude. Pages for newly tracked games show a note until there are a few days of history, and game pages are only submitted to search engines after 14 days of data.
SteamBuddy Radar is made by GAMES.GG and is not affiliated with Valve or Steam.