# Sport Performance Analysis with a Focus on Racket Sports: A Review
## 3 Results
### SR2: A Systematic Review of Publications on Racket Sports
#### 3.2.1 Classification by Racket Sport and Methodology  
The distribution of publications for each racket sport is represented in Table 3. Tennis is the most widely represented racket sport in the publications studied. Observation  
Despite technological advancements, the observation methodology remains an important tool for quick and cost-effective performance analysis across racket sports. [PERSON] et al. [131] provides an example of technical and tactical analysis for badminton. The primary goal of this study was to create, validate, and estimate the dependability on an observational instrument for analyzing tactical and technical actions in individual badminton. [PERSON]'s V coefficient was used to calculate the validity. [PERSON] et al. [130] present a frame-by-frame analysis to distinguish between skilled and less skilled athletes. The current study seeks to address this issue by observing  
Figure 3: Performance analysis methods of selected publications given the publication year. \begin{table}
\begin{tabular}{l l l} \hline \hline
**Sports** & **Performance Analysis Method** & **Publications** \\ \hline \multirow{4}{*}{badminton} & combine approach (observation+statistical) & [123] \\  & n/a & [128] \\  & neural network & [95; 97; 129; 130] \\  & observation & [131; 132; 133; 134] \\  & statistical approach & [71; 135; 136; 137] \\ \hline \multirow{4}{*}{padel tennis} & neural network & [138] \\  & observation & [139; 140; 141; 142; 143] \\  & observation (tracking software) & [63; 144] \\  & statistical approach & [145; 146; 147] \\ \hline \multirow{2}{*}{squash} & observation (tracking software) & [148] \\  & statistical approach & [149] \\ \hline \multirow{4}{*}{table tennis} & neural network & [94] \\  & observation & [150; 151] \\  & observation (tracking software) & [64] \\  & statistical approach & [122; 152; 153] \\ \hline \multirow{4}{*}{tennis} & observation & [12; 23; 57; 154; 155; 156; 157; 158] \\  & observation (tracking software) & [159] \\ \cline{1-1}  & statistical approach & [72; 160; 161; 162; 163; 164; 165; 166; 167; 168; 169; 170; 171; 172; 173; 174; 175; 176] \\ \hline \hline \end{tabular}  
We could divide the selected works into four broad categories:  
* publications that use observation as the primary tool;
* publications that use a standard statistical approach;
* publications that use a combination of observation and statistics;
* non-statistic methods, primarily neural networks.  
Figure 3 illustrates the distribution over time of the methodology for selected publications.  
\end{table} 
Table 3: Distribution of the performance methodology for each racket sport. measures of anticipation in purely naturalistic match-play. The influence of skill level corresponds to empirically derived suggestions of skilled athletes accessing domain-specific knowledge for future event prediction. [PERSON] et al. (2013) created an ad hoc observational tool for badminton singles games that consists of 13 criteria and 47 mutually exclusive categories. There were 287 actions from the 2015 Badminton World Championship that were studied. [PERSON]'s Kappa and generalizability theory were used to evaluate the tool's validity. [PERSON] and [PERSON] (2017) provides an example of the regression analysis method. The study looks into the connection between movement accuracy and heart rate data collected by the Microsoft Kinect tool. [PERSON] et al. (2014) presented observational analyses of technical and timing variables to provide critical information for understanding the match. The technical and timing variables of badminton men's singles matches in the 2016 Olympic Games were examined and compared between groups and play-off stages. The study's findings are important for comprehending the game and providing information for training planning. Statistical Approach  
[PERSON] et al. (2013) illustrate the statistical approach. The purpose of that work is to calculate the point difference between winners and losers in badminton games.