// Analytics
Analysis
A readable look at how free and paid games compare — players online now, genres, reviews, prices, and studios. Built only from data we actually store.
Share of the catalog versus share of people actually playing.
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Highest player counts among games with a $0 store price.
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| # | Game | Players online | Owners |
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Highest player counts among games that cost money on the store.
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| # | Game | Players online | Owners |
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Which major genres draw the most players, and how free vs paid breaks down inside each.
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| Genre | Games | Free | Paid | Players online | Avg players | Share |
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How often players recommend free vs paid games, plus the highest-rated titles with enough reviews.
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| # | Game | Recommend rate | Reviews |
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How paid games cluster by USD list price, and whether pricier buckets tend to have more players online. Price buckets stay USD-only; INR live prices appear on game and top lists when ingested.
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Rough owner ranges from SteamSpy-style estimates (not exact sales).
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Average playtime when someone left a review — free vs paid.
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This is playtime at review time only — not in-game spending. We do not have purchase or microtransaction data.
Monthly volume of recommended vs not-recommended reviews.
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Developers whose games add up to the highest player totals (2+ titles).
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| Studio | Games | Players online | Avg players |
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Tags with relatively few games but high average players — possible demand gaps.
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| Tag | Games | Avg players | Players / game |
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Common pairs among major genres — useful for seeing how categories overlap.
| # | Tag A | Tag B | Shared games |
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We cannot show revenue or microtransaction spend — those tables are not in this database. Charts above stick to prices, players, reviews, and tags we do have.