Beginner

Five Star Rating Calculator

Enter how many 1, 2, 3, 4 and 5-star reviews a product or service has received and instantly get the weighted average rating, Bayesian average (which stabilises scores with few reviews), the positive review percentage and the full distribution breakdown.
Average star rating
4.16

Weighted average out of 5 stars across all reviews

Average rating
4.16 / 5
Bayesian average
4.06 / 5
Total reviews
255
Positive (4–5 ★)
80.4%
Satisfaction score
39.2%
47%
33%
12%
5%
3%
5 ★
4 ★
3 ★
2 ★
1 ★
Review distribution — each segment shows its share of total reviews
Step by step
  1. 1

    Weighted sum

    5×120 + 4×85 + 3×30 + 2×12 + 1×8 = 1,062
  2. 2

    Total reviews

    120 + 85 + 30 + 12 + 8 = 255
  3. 3

    Average rating

    1,062 ÷ 255 = 4.16
Results are estimates for general information only and are not professional advice — always verify important results independently before relying on them. Read the full disclaimer.
Quick answer

How does this calculator work?

Average star rating = (5n₅ + 4n₄ + 3n₃ + 2n₂ + n₁) / N. Bayesian average = (25×3 + weighted sum) / (25 + N) to stabilise small counts. Positive rate = (n₄+n₅)/N×100. Enter the count of 1–5 star reviews to get all three scores plus the distribution breakdown.

Formula
Average = (5·n₅ + 4·n₄ + 3·n₃ + 2·n₂ + 1·n₁) / N • Bayesian = (C·m + Σwᵢnᵢ) / (C + N)
How this is calculated

The weighted average star rating multiplies each star value (1–5) by its review count, sums the results, and divides by the total number of reviews. This gives the intuitive "average stars out of 5" figure shown on most platforms: Average = (5·n₅ + 4·n₄ + 3·n₃ + 2·n₂ + 1·n₁) / N.

The Bayesian average shrinks extreme scores toward a prior mean when the review count is small. The formula is (C·m + Σwᵢ·nᵢ) / (C + N), where m = 3.0 (a neutral prior mean) and C = 25 (a prior "virtual" review count). A product with 2 reviews averaging 5.0 gets a Bayesian score close to 3.0, while one with 2,000 reviews converges toward its true average. This prevents new products with a single glowing review from topping leaderboards.

The satisfaction score is the percentage of 5-star reviews minus the percentage of 1- and 2-star reviews, analogous to a net promoter logic for review data. Positive rate counts 4- and 5-star reviews as a proportion of all reviews.

Frequently asked questions

The Bayesian average adds a set of "imaginary" neutral reviews (C = 25 at rating 3.0) to stabilise the score when the real review count is low. As more real reviews accumulate the effect fades and the Bayesian average converges to the plain average. This makes comparisons fairer between products with very different review counts.

It is the percentage of 5-star reviews minus the percentage of 1- and 2-star reviews, giving a single number from −100% (all negative) to +100% (all positive). A score above 0% means more promoters than detractors by percentage.

This calculator is designed for 1–5 star systems. For a 1–10 scale or thumbs up/down system, the formula structure is the same but the weights change — adapt accordingly in a spreadsheet.

APA

TG we-Calculate Editorial Team. (2026). Five Star Rating Calculator [Online calculator]. TG we-Calculate. https://we-calculate.com/calculator/five-star-rating-calculator

Chicago

TG we-Calculate Editorial Team. "Five Star Rating Calculator." TG we-Calculate. 2026. https://we-calculate.com/calculator/five-star-rating-calculator.

IEEE

TG we-Calculate Editorial Team, "Five Star Rating Calculator," TG we-Calculate, 2026. [Online]. Available: https://we-calculate.com/calculator/five-star-rating-calculator

BibTeX

@misc{wecalculate_five_star_rating_calculator, title = {Five Star Rating Calculator}, author = {{TG we-Calculate Editorial Team}}, howpublished = {\url{https://we-calculate.com/calculator/five-star-rating-calculator}}, year = {2026}, note = {TG we-Calculate} }

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