Calculate the true weighted average rating from multiple review sources. Weight ratings by number of reviews, reviewer credibility, or importance to get an accurate composite rating.
Enter ratings and review counts from different sources to get the true weighted rating.
A weighted rating combines ratings from multiple sources where each source is weighted by its number of reviews or credibility. A 4.8★ rating from 10,000 reviews carries more weight than a 5.0★ from 3 reviews.
If Product A has 4.5★ from 5,000 reviews and 2.0★ from 5 reviews, the simple average is 3.25★. But the weighted rating is 4.497★ — much more accurate and fair.
Type each data point into the 'Value' column. These are the ratings you want to weight.
Enter the reviews for each value. The calculator accepts any positive numbers as weights.
The calculator computes your result instantly. See the weighted result, sum of products, sum of weights, and interactive charts update in real time.
The weighted rating formula: multiply each value by its weight, sum those products, then divide by the total of all weights.
Enter each value alongside its weight. For example: Amazon 4.5 (weight 5000), Walmart 3.8 (weight 1200), Best Buy 4.9 (weight 300).
4.5 × 5000 = 22500, 3.8 × 1200 = 4560, 4.9 × 300 = 1470.
22500 + 4560 + 1470 = 28530.
5000 + 1200 + 300 = 6500.
28530 ÷ 6500 = 4.39.
When values have unequal importance, simple averaging misleads. This calculator weights correctly.
Always divide by the sum of weights, not the number of values.
Putting values in the weight column produces wrong results. The labeled columns prevent this.
Multiply each value by its weight. Sum products. Sum weights. Divide. The calculator automates this.
Use the weighted rating calculator to compute weighted results. Edit values below.
The weighted result accounts for different weights across categories, giving a more accurate composite than a simple average.
Another real-world example. Edit values to see the result update instantly.
The weighted result reflects the true composite value when different sources have different levels of importance or volume.
Aggregate product ratings from Amazon, Walmart, and Best Buy weighted by number of reviews for a fair overall score.
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Weights must be positive. The calculator requires positive weights. A weight of zero excludes that value entirely.
Equal weights = simple average. If every value has the same weight, the weighted result equals the simple average.
Result always falls between min and max values. No matter the weight distribution, the result will always be between the smallest and largest values.
Larger weights dominate the result. The larger a weight relative to the total, the more the result is pulled toward that value.
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