1. A computer-implemented method for analyzing interactions between members of a team using gaze parameter data, the method comprising: capturing, by an image sensor over a period of time during a sports match, the gaze parameter data, wherein the gaze parameter data comprises first gaze parameter data associated with a first member of the team and second gaze parameter data associated with a second member of the team, and wherein capturing the first gaze parameter data comprises: capturing, at a particular frame rate, a series of image frames of a head of the first member; determining, for each image frame, an angle between the head of the first member and the image sensor; determining, for each image frame, an eye position of the first member; and determining a scan path based at least in part on the angle between the head of the first member and the image sensor determined for each image frame and the eye position of the first member determined for each image frame, wherein the scan path indicates a change in gaze direction of the first member over a time period during which the series of image frames are captured; identifying, by a computer processor, a sports domain associated with the sports match; identifying, by the computer processor, a key performance indicator (KPI) corresponding to the sports domain; identifying, by the computer processor, one or more sports domain rules associated with the KPI; filtering, by the computer processor, the gaze parameter data to obtain a location/time series of the gaze parameter data that satisfies the one or more sports domain rules; generating, by the computer processor, KPI data associated with the KPI based at least in part on the location/time series of the gaze parameter data; and analyzing, by the computer processor, the KPI data to determine a mutual gazing behavior between the first member of the team and the second member of the team.