The Quality of Service (QoS) parameter although helps us to measure the network quality, but since a lot of other factors along with the network conditions also impact the user’s experience which the QoS is unable to measure, it is unable provide an accurate measure of the user’s degree of satisfaction, to measure it a new term QoE was proposed. Majority of airlines now provides the service of wi-fi on-board, that allow their customers to use the Internet service for various online purposes, such as, checking their email accounts, sending a message, streaming video from different online media service providers, for example YouTube, Netflix, Amazon Prime videos, etc. Statistics show that the majority of the passenger’s onboard stream video using the provided on-board wi-fi service and hence their perception of the video stream will determine the performance of service provider. One of the ways to evaluate the user perception of the video service is by evaluating the number of stalls the user had. In this work, we propose an evaluation method that uses only the throughput values delivered to the user to estimate the frequency of stalls the user might have experienced while streaming an adaptive bitrate video. The proposed algorithm is independent of any user device property and requires only the throughput values delivered to the user device, which can be captured at the router. We further showcase how the estimated frequency of stalls can be used in a mathematical equation to evaluate the user QoE in terms of Mean Opinion Score.