Weighted Average
The calculator multiplies each star count by its star value, then divides by total reviews.
Calculate the real average behind a public star rating, understand how rounding may display the result, see how fragile the rating is to new negative reviews and score whether the data is reliable enough for public reporting, widgets or review campaigns.
A displayed star rating can hide the underlying distribution. Two businesses may both show 4.6 stars while one has steady feedback and the other has a small, polarized or manipulated-looking review base.
The calculator multiplies each star count by its star value, then divides by total reviews.
It compares the exact average with one-decimal and nearest-half-star display logic.
The output shows positive, neutral and negative share, volume and polarity indicators.
The governance score flags small samples, manual counts, duplicate profiles, sudden spikes and risky public use.
Before using a rating in marketing, schema, widgets or legal evidence, teams should know whether the data source, sample size and distribution support the claim.
A few 5-star reviews can create a high average that is fragile to one negative review.
Many 5-star and 1-star reviews can signal operational inconsistency, review attacks or review gating.
Counts copied manually from a profile can be stale, rounded or affected by platform weighting.
Ratings used in ads, widgets or schema should be current, verifiable and not overstated.
Enter the number of 5, 4, 3, 2 and 1-star reviews. The calculator returns exact average, displayed averages, distribution, negative-review impact, recovery math and a rating reliability score.
The calculator computes a weighted average from star counts, derives displayed ratings, models the impact of a future 1-star review and scores reliability based on data quality, distribution, intended use, sensitivity and mitigations.
A star average is a public claim when it appears in ads, badges, widgets, schema or evidence files.
Record the live profile URL, screenshot, date and platform before using the result.
Do not mix branches, practitioners, departments or franchise profiles unless the claim clearly says so.
Ratings move. Public use should show or retain the measurement date internally.
Do not imply the displayed rounded rating is more precise than the platform shows.
Investigate large 1-star shares, spikes or sudden distribution changes before promotion.
Keep export files or screenshots when the rating supports a dispute or platform escalation.
Low reliability risk. The average appears usable after routine source verification.
Managed reliability. The result can be used after checking source, rounding and branch assumptions.
Verification required. Do not publish the rating until data source, distribution or intended use is reviewed.
Hold public use. Do not use the rating publicly until data, profile, distribution or claim risks are corrected.
Use the star rating calculator after you know the exact current average and review volume.
Estimate how many future reviews are needed to reach a target rating.
Verify the profile identifier before creating review links, QR codes or widgets.
Pimlegal can review rating evidence, widget claims, review schema, advertising wording and platform-risk issues before publication.