Use 30x as your Steam review to sales multiplier in 2026. Take a game’s total review count, multiply by 30, and you have a defensible estimate of units sold for any game released in the past three years. The working range is 20-40x. If that’s all you came for, you’re done in three sentences.
Everything below is the lookup table behind that answer: the multiplier by genre, by game age, and by price tier, plus a worked example and the situations where the method falls apart entirely. The history — where the name came from, who collected the original data — lives in our Boxleiter method explainer. This page is the reference card. Keep it open while you run estimates.
Steam sales estimation from a reviews multiplier: units sold = total reviews x 30 for games released 2023 or later. Use 20x as your floor and 40x as your ceiling, then adjust with the genre, age, and price tables below.
The 2026 consensus: where 30x comes from
Valve publishes review counts but not sales. The multiplier bridges that gap, and it exists because only a small fraction of buyers ever write a review. Three public datasets tell us what that fraction looks like:
- Jake Birkett’s developer survey (2018). Birkett collected real Steamworks sales data from indie developers and published the results on Game Developer: an average of 82x and a median of 77x across all launch years, falling to a 65x median for 2017 releases.
- Simon Carless’s NB number study (2020). GameDiscoverCo gathered real sales for 237 games and found a lifetime median of 58 sales per review — but for games launched in 2020 specifically, the median was just 38x, with a recommended planning range of 20-60x.
- VG Insights’ 10,000-game analysis (2021). The largest public study to date, summarized on Game Developer, put 2020 releases at roughly 30x, placed modern games in a 20-55x band, and measured over 90% correlation between review count and units sold. Reviews are a genuinely strong signal. The argument is only ever about the coefficient.
Since then the ratio has kept sliding, slowly. Gamalytic’s deep dive into the sales/review ratio found it decreasing slightly every year. Project that trend forward and you land at a median around 30x for recent releases in 2026, which matches what we see when calibrating our revenue calculator against developers’ disclosed sales figures.
One terminology note before the tables. You will see this number called the boxleiter number, the review multiplier, the reviews to sales ratio, or the sales estimate coefficient. Same thing, four names. It is always the number you multiply reviews by to get units.
Steam review to sales multiplier by genre
Genre is really a proxy for audience behavior. Engaged niche communities review at high rates, which pushes the multiplier down. Mainstream audiences buy, play a weekend, and never visit the store page again, which pushes it up.
| Genre | Multiplier range | Typical midpoint |
|---|---|---|
| Action / shooter | 50-80x | 60x |
| Roguelite | 30-50x | 35x |
| RPG | 30-50x | 38x |
| Horror | 30-50x | 38x |
| Strategy | 25-40x | 32x |
| Simulation | 25-40x | 30x |
| Platformer | 25-40x | 30x |
| Indie / narrative | 20-35x | 27x |
| Puzzle | 20-35x | 25x |
| Visual novel | 15-25x | 20x |
Two ends of that table are worth dwelling on. Visual novel audiences are the most review-prone on Steam — a visual novel with 200 reviews may have sold only 4,000 copies. Mass-market action audiences are the least review-prone, so the same 200 reviews on a shooter can represent 12,000+ units. Most genres cluster inside the 20-40x band; mainstream action is the big exception. For how these multipliers interact with what each genre actually earns, see our revenue by genre breakdown.
Review score bends the ratio too. Gamalytic found games above 90% positive run roughly 30 sales per review, while games sitting near 70% positive run closer to 60x. Strong feelings produce reviews. Lukewarm players close the game and move on. If your comp is sitting at “Mixed,” lean toward the top of its genre range.
Steam review to sales multiplier by game age
This is the table almost nobody publishes, and it matters more than genre. The multiplier is not stable across time — a game’s release year changes which review-rate regime its audience lived through.
| Release period | Multiplier range | Approximate median |
|---|---|---|
| 2013 or earlier | 50-100x | ~70x |
| 2014-2018 | 40-80x | ~65x |
| 2019-2021 | 25-55x | ~38-50x |
| 2022-2026 | 20-40x | ~30x |
The cause of the cliff is specific and dateable: in late October 2019, Valve started prompting players to review games after a few hours of play. Review rates jumped almost overnight. GameDiscoverCo measured the effect directly — pre-2017 launches in their dataset ran a 74x median, 2019 launches ran 51x, and 2020 launches ran 38x.
There is a second, sneakier age effect. An older game’s lifetime review count blends eras: its early reviews accumulated under the old low-review-rate regime, while every discount and sale event since 2019 added reviews under the new one. That blend is why a 2016 game still deserves a higher multiplier than a 2024 game even today, and why a single flat multiplier across a comp list of mixed ages will quietly wreck your market sizing.
Multiplier by price tier
Price moves the multiplier in one consistent direction: cheaper games collect more sales per review. Both VG Insights and Gamalytic found that higher-priced games have lower multiples, and Gamalytic measured free games at almost twice the sales-per-review of paid ones. Low-priced games get impulse-bought and buried in backlogs; a $40 purchase gets played and judged.
| Price tier | Typical multiplier (recent releases) |
|---|---|
| Under $5 | 35-55x |
| $5-$10 | 30-45x |
| $10-$20 | 25-40x |
| $20-$40 | 20-30x |
| $40+ | 15-25x |
These tiers are my synthesis of the published studies plus developer-shared data — treat them as adjustment nudges, not lab constants. At the extreme top end the pattern holds for AAA too: Gamalytic’s analysis pegged Elden Ring at around 20 sales per review despite its enormous volume.
One related warning: discount history contaminates this table. A game that has spent half its life at 70% off accumulates bundle-style buyers who never launch it and never review it, pushing its true multiplier toward the top of the band while its real revenue per unit collapses. For estimating those games, raise the multiplier and slash the price variable — our discount strategy guide covers how deep cuts reshape the buyer mix.
Why the multiplier fell from 70x to 30x
In 2014, Birkett’s original research put the range at 30-100x with 70x as the middle. His 2018 survey still showed a 77x median. By 2021, VG Insights had 2020 releases at 30x. That is a halving-and-then-some in under a decade, driven by three forces:
- The October 2019 review prompt. The single biggest cause. Valve asking players “want to review this?” converted millions of silent owners into reviewers.
- Review culture normalized. Steam’s audience grew up with reviews as a default behavior, and curators, forums, and the review-score-driven algorithm all reward leaving one.
- The market shifted toward engaged niches. Indie genres with chatty communities make up a larger share of releases than they did in 2014.
The practical consequence: any guide written before 2020 that tells you to use 50-70x is describing a Steam that no longer exists. Apply 70x to a 2025 release and your sales estimate is roughly double reality. I still see those stale numbers cited in pitch decks.
And if you searched for the steam review to sales multiplier for 2024 or 2025: same answer as 2026. The number has been roughly flat at ~30x (20-40x range) since 2022. All the dramatic movement happened between 2019 and 2021.
Worked example: a sales estimate from the number of reviews
Here is the full chain, the same one our Steam sales calculator guide walks through with screenshots.
The comp: a roguelite released in 2024, priced at $14.99, with 620 total reviews (all languages, all purchase types).
Step 1: Set the age baseline. 2024 release, so start at 30x.
Step 2: Nudge for genre and price. Roguelite audiences review at moderate rates (30-50x band) and $14.99 sits in the neutral price tier. Nudge the midpoint up slightly to 32x, with 26x conservative and 38x optimistic.
Step 3: Multiply.
- Conservative: 620 x 26 = 16,120 units
- Mid: 620 x 32 = 19,840 units
- Optimistic: 620 x 38 = 23,560 units
Step 4: Convert units to revenue with an effective price, not list price. Between launch discounts, seasonal sales, and regional pricing, a $14.99 game typically realizes $11-$12 per unit. At $11.50: 19,840 x $11.50 = roughly $228,000 gross at the mid estimate.
Step 5: Take out refunds and Steam’s cut. Subtract ~10% for refunds (genre-dependent — see our refund rate data), then Valve’s 30%: $228,000 x 0.90 x 0.70 = about $144,000 to the developer before taxes. The deductions stack is covered in detail in our revenue share explainer.
That final number is the one that belongs in your planning spreadsheet. Compare it against the genre benchmarks in our indie game revenue data to see whether the comp is an outlier or the norm.
When the reviews to sales ratio estimate fails
The multiplier is a blunt instrument. These are the cases where it stops being approximately right and starts being confidently wrong.
Free-to-play games
No price means no revenue estimate, full stop. And even as a downloads proxy the ratio shifts — free titles run nearly double the sales-per-review of paid games, because zero-cost “buyers” have zero investment. Use concurrent player data instead.
Bundle and key-heavy games
Humble bundles, Fanatical keys, giveaway campaigns. Bundled copies mostly sit unplayed, so these games carry far more owners per review than normal — and those owners paid $1-$3 each. The unit estimate skews low and the revenue estimate, if you apply list price, skews wildly high. If a game has been in two or more bundles, do not trust a review-based revenue figure for it.
China-heavy and region-heavy audiences
The review-rate difference by region is smaller than the folklore says — Gamalytic found Asian players review slightly more often, though not at a statistically significant level. The real problem is price. A game selling 40% of its units in regions priced at a fraction of US list will produce a revenue estimate inflated by 20-30% even when the unit count is right. Scan the language split of the reviews; if it is majority Simplified Chinese, cut your effective price hard.
Review bombs, fresh launches, and tiny samples
Review bombs break the buyer-reviewer link. Games under ~50 reviews swing wildly with any multiplier. And first-two-weeks estimates skew low, because early buyers are the most motivated reviewers. Wait a month before estimating a new release.
Very big games run hotter than the tables
GameDiscoverCo’s review-count follow-up found games with 1,000-10,000 reviews averaging 52.8 sales per review versus 36x for games under 100 reviews. Scale pulls in casual buyers who never review. When estimating a breakout hit, lean above the genre midpoint.
For all of these edge cases, the fix is the same: triangulate. Cross-check the review estimate against SteamSpy ownership brackets and paid trackers, as laid out in our guide to how to estimate Steam game sales and the revenue calculator comparison.
How our revenue calculator picks multipliers
Our free Revenue Calculator automates this entire page. It starts at the 30x recent-release baseline, applies the genre adjustment from the table above, nudges for price tier, and then refuses to give you a single number — you get a conservative, mid, and optimistic band, because a point estimate from a reviews multiplier is false precision. It also converts units to net revenue automatically: effective price haircut, genre-appropriate refund rate, and Steam’s 30% cut. The figure you see is take-home, not gross.
Frequently asked questions
What is the Steam review to sales multiplier in 2026?
30x is the median for games released in the last three years, with a working range of 20-40x. Older games need higher multipliers — up to 70x for pre-2014 releases — and genre and price shift the number further. The full background on the method is in our Boxleiter method explainer.
What is the boxleiter number?
The boxleiter number is simply another name for the reviews-to-sales multiplier: the number of copies sold per Steam review. The name stuck from early indie community discussions, and our Boxleiter method guide covers its origins and refinements in detail.
How do I estimate Steam game sales from the number of reviews?
Multiply the game’s total review count by a multiplier: 30x baseline for recent releases, adjusted by the genre, age, and price tables on this page. Then convert to revenue using an effective price about 25% below list, minus refunds and Steam’s cut. Our Revenue Calculator runs the whole chain in one step, and the sales calculator walkthrough shows it manually.
Is the multiplier different for 2024 or 2025 releases?
No. The ratio has been roughly flat around 30x since 2022, so 2024, 2025, and 2026 releases all take the same baseline. The big shift happened between 2019 and 2021, after Valve’s review prompt drove review rates up — release year matters enormously for older games and barely at all for recent ones.
How accurate is a reviews to sales ratio estimate?
With a sensibly chosen multiplier, expect to land within 30-50% of true units — VG Insights found its ranges held for over 80% of games, with 90%+ correlation between reviews and sales. That is accurate enough for market sizing and comp research, and not accurate enough to bet a studio on a single estimate. Triangulate using the methods in our estimation guide.
Does the multiplier account for refunds and Steam’s cut?
No. The multiplier estimates units, and everything downstream is on you: effective price, refunds (typically 10-15% — see our refund rate data), and Valve’s 30% platform share. Skipping those steps is how a $228,000 gross estimate gets mistaken for $228,000 of developer income when the real figure is closer to $144,000.
Ready to put these multipliers to work? Run your comparables through the free Revenue Calculator — it applies the genre, age, and price adjustments from this page automatically and returns a low/mid/high band instead of a single misleading number. Then read how to estimate Steam game sales for the triangulation workflow and check your estimates against the indie game revenue data benchmarks.
And if you are running these numbers for your own upcoming game, the estimate is only half the job. The other half is making sure your store page converts the traffic you earn — run it through the free Steam page analyzer for a graded breakdown of your capsule, screenshots, tags, and description before the multiplier ever gets a chance to apply to you.