Volley ball is one of the non-contact sports that is not characterized with injuries to a high extent, specially for ACL injury. Although it has been proved that volleyball female players are exposed to injuries to a medium extent due to sudden movements and shock absorbing in jumps. One of the common injuries in this field is anterior cruciate ligament injuries which have been proven one of the most dangerous injuries in all sports. Methods for analyzing the mechanisms of injuries in sports from video sequences of injury situations are so far limited to a simple visual inspection, which has shown poor accuracy. This is why this study was performed to investigate whether a new model-based image-matching technique could successfully be applied to estimate kinematical characteristics of three typical anterior cruciate ligament (ACL) injury situations in female volleyball. The researcher contacted the sports medicine committee in the volleyball international federation for obtaining injury video incidences from international championships for some world ranked female national teams for the purpose of biomechanical analysis. Videos have been imported to the program Posers 4, where a skeleton model and a model of the surroundings were matched to the background image frame by frame. When the match was considered satisfactory, joint angles as well as velocity and acceleration of the center of mass were calculated. The researcher concluded that the model-based image matching technique can be used to extract kinematical characteristics from videotapes of actual ACL injuries, and may provide valuable information on the mechanisms for ACL injuries in sports. Finally the researcher recommends conducting further studies on other injury incidences for the aim of prevention.