# Formulas for Total Hits This article explains how **Total Hits, Total Throughput, Average Hits, and Average Throughput** are calculated in the **Iteration Summary** report. These metrics provide information about the number of requests generated during a test and the amount of data transferred. ## 1. Total Hits **Total Hits** represents the total number of requests generated during the test. **Formula:** ```text Total Hits = Total Requests ``` For example, if the test generates **125 requests**, the Iteration Summary report shows: ```text Total Hits = 125 ``` > **Note:** A single user action can generate multiple HTTP requests. Therefore, Total Hits does not necessarily represent the number of test steps or user actions. --- ## 2. Total Throughput **Total Throughput** represents the total amount of data transferred by successful requests during the test. **Formula:** ```text Total Throughput = avgSize × success ``` Where: - **avgSize** = Average size of the response/request data, in KB. - **success** = Number of successful requests. ### Example Assume the following values: ```text Average Size = 2.17 KB Successful Requests = 25 ``` The Total Throughput is calculated as: ```text 2.17 KB × 25 = 54.25 KB ``` Therefore: ```text Total Throughput ≈ 54.3 KB ``` The result represents the total volume of data calculated from the average size and the number of successful requests. --- ## 3. Average Hits **Average Hits** represents the average number of requests generated per second during the test. **Formula:** ```text Average Hits = Total Hits / Test Duration in seconds ``` ### Example Assume: ```text Total Hits = 125 Test Duration = 25 seconds ``` The Average Hits is: ```text 125 / 25 = 5 hits/s ``` Therefore: ```text Average Hits = 5 hits/s ``` This means that the test generated an average of **5 requests per second** during the test duration. > **Note:** Average Hits is an average value. It does not mean that exactly the same number of requests was generated every second. --- ## 4. Average Throughput **Average Throughput** represents the average amount of data transferred per second during the test. **Formula:** ```text Average Throughput = Total Throughput / Test Duration in seconds ``` ### Example Assume: ```text Total Throughput = 54.3 KB Test Duration = 25 seconds ``` The Average Throughput is: ```text 54.3 KB / 25 seconds = 2.172 KB/s ``` Therefore: ```text Average Throughput ≈ 2.17 KB/s ``` This means that the test transferred an average of approximately **2.17 KB of data per second**. --- ## Summary The following table summarizes the metrics and their formulas:

Metric	Description	Formula	Unit
Total Hits	Total number of requests generated	`Total Requests`	Hits/requests
Total Throughput	Total data volume calculated from successful requests	`avgSize × success`	KB
Average Hits	Average number of requests generated per second	`Total Hits / Duration`	Hits/s
Average Throughput	Average amount of data transferred per second	`Total Throughput / Duration`	KB/s

### Complete Example For a test with the following results: ```text Total Requests = 125 Successful Requests = 25 Average Size = 2.17 KB Test Duration = 25 seconds ``` The metrics are calculated as follows: ```text Total Hits = 125 requests ``` ```text Total Throughput = 2.17 KB × 25 = 54.3 KB ``` ```text Average Hits = 125 / 25 = 5 hits/s ``` ```text Average Throughput = 54.3 / 25 = 2.17 KB/s ``` Therefore, the Iteration Summary metrics would be: ```text Total Hits = 125 Total Throughput = 54.3 KB Average Hits = 5 hits/s Average Throughput = 2.17 KB/s ``` --- **Last updated: September 1, 2026** If you have any feedback on this topic, please contact us at .