# Sport Performance Analysis with a Focus on Racket Sports: A Review
## 3 Results
### SR1: An Overview of Sport Performance Analysis in General
#### 3.1.4 Software Used to Analyze Performance  
As their primary data input, the following software used video/image data collection, wearable devices, or GPS. FRAMI, a computer software for judo matches, was introduced by [PERSON] et al. [114]. The system is used to analyze both technical and tactical behaviors in a video match. FUT-SAT is a tactical assessment system designed specifically for football/soccer that is used by [PERSON] et al. [115] and [PERSON] et al. [116]. The system allows for the progression of player movement in the game across all age groups and levels. FUT-SAT analyzes the player's actions during the game, with ball possess serving as the primary unit of analysis, followed by tactical action assessments. Bagadus is a real-time prototype of a sports analytics system described in [PERSON] et al. [117]. Using a video camera array, the system integrates a sensor system, a soccer analytic annotations system, and a video processing system. In their study, citelegg2012 matchpad presented visualisation software, MatchPad. The MatchPad assisted coaches in examining actions and events in detail while maintaining a clear overview of the match, and it also assisted them in making decisions during the matches. It also enables coaches to communicate critical information to players in a visually engaging manner, thereby improving their performance. In their article, [PERSON] et al. [118] outlined a computer vision technology to establish a sport detection and analysis system using an RGB camera and deep learning models. SportVU is an optical tracking technology used in basketball by [PERSON] and [PERSON] [119]. The system enabled performance statistics by extracting coordinates of players and the ball with statistical algorithms to provide greater match insights and generate data for the most recent AI analysis software. [PERSON] et al. [120] presented Ultimate Performance Analysis Tool (uPATO) enabling observing, codifying, importing, visualizing, computing measures, and exporting data from observed games. The tool enabled the introduction of data based on adjacency matrices as well as the integration of various metrics used for team sports analysis. The ability to analyze GPS data is a significant advantage of this tool.  
**Summary:** There has not been much progress in the development of performance analysis software until recently. In the studies that were reviewed, less than ten different pieces of software were used. All the above software is used as the primary input video or image collected by a player's integrated camera or software working with a GPS. This area has been identified as having significant potential for new development. One of the suggestions is to use a combined approach of GPS and video/image as the primary data input, which would be more accurate. The second option is to use historical data to compare it to data collected during a live in-game session. In addition, analysis from GPS or wearable technology must be more automated and personalised to provide in-game advice to players.