# The Role of Artificial Intelligence in Sports Analytics:
## 3 Results
### Systematic Review and Meta-Analysis  
This systematic review synthesizes evidence from 16 studies (Table 5) that have applied artificial intelligence (AI) technologies in the context of sports performance analysis. The reviewed literature spans a broad spectrum of sports, comprising 13 unique disciplines (running, fencing, tennis, volleyball, cycling, football/soccer, basketball, handball, cricket, wrestling, combat sports, futsal, and gymnastics). Across these studies, a diverse set of 50 distinct AI systems and methodologies were employed ranging from traditional machine learning classifiers (Extra Trees, Random Forest, Support Vector Machines, Quadratic Discriminant Analysis, and Logistic Regression) to more advanced deep learning architectures (Convolutional Neural Networks, Long Short-Term Memory networks, and specialized configurations such as Whale Optimized ANN and 3D CNN), as well as domain-specific techniques including dynamic time warping, reinforcement learning paradigms, fuzzy logic, and natural language processing. \begin{table}
\begin{tabular}{c c c c} \hline
**Study** & **PROBAST Risk** & **TRIPOD-ML Adherence** & **Overall Quality Rating** \\ \hline [PERSON] et al. (2021) [7] & Low & High & High \\ \hline [PERSON] (2023) [15] & Moderate & Moderate & Moderate \\ [PERSON] and [PERSON] (2022) [12] & Low & Moderate & High \\ \hline [PERSON] et al. (2023) [38] & Moderate & Moderate & Moderate \\ \hline [PERSON] and [PERSON] (2019) [36] & Moderate & Low & Moderate \\ \hline \end{tabular}
\end{table} 
Table 4: Quality assessment of computer vision and predictive modeling studies. \begin{table}
\begin{tabular}{l l l} \hline
**Study: [PERSON] et al., 2018 [31]** & **Study: [PERSON] et al., 2021 [7]** & **Study: [PERSON] et al., 2023 [32]** & **Study: [PERSON] and [PERSON], 2019 [36]** \\ Sport: Fencing & Sport: Tennis & Sport: Volleyball & Sport: Basketball \\ AI Used: Neural Network, Dynamic & AI Used: Detectron2, Pose Estimation, & AI Used: Machine Learning & AI Used: Motion tracking \\ Time Warping & Convolutional Neural & Performance Measured: Accuracy in & Performance Measured: Sensitivity \\ Performance Measured: & Networks (CNNs) & identifying skill levels & Study Design: Machine learning study \\ Prediction accuracy & Performance Measured: & Study Design: Experimental study & Performance Metrics: 90\% sensitivity, \\ Study Design: Experimental study & Classification accuracy & using wearable sensors & 8\% improvement compared with the \\ using inertial sensors & Study Design: Computer vision study & Performance Metrics: Up to & existing literature \\ Performance Metrics: 76.6\% accuracy & Performance Metrics: 98.60\% accuracy & 95\% accuracy & \\ \hline
**Study: [PERSON] et al., 2024 [9]** & **Study: [PERSON] et al., 2024 [19]** & **Study: [PERSON] et al., 2023 [17]** & **Study: [PERSON] et al., 2023 [38]** \\ Sport: Gymnastics & Sport: Football & Sport: Soccer & Sport: Cricket \\ AI Used: A-embedded Inertial & AI Used: Machine Learning, Data & AI Used: Fuzzy Logic & AI Used: Deep Learning, \\ Measurement Units, Visual Analysis & Mining, Classification Models, & Performance Measured: Agreement & Convolutional Neural Network \\ Performance Measured: Segmentation & Regression Models & with actual rankings & Performance Measured: Accuracy in \\ of vailing phases, evaluation of & Performance Measured: Accuracy in & Study Design: Experimental study & detecting player in danger area, \\ detailed movements & performance score for & Performance Metrics: Fuzzy Logic \\ Study Design: Experimental study & forward positions & System: 75\% agreement which actual top & detecting position of front leg, detecting \\ Performance Metrics: 4.57\% estimation & Study Design: Review & team rankings, 87.5\% agreement with \\ error in flight height & Performance Metrics: Classification & lower-ranked teams & ending of moving arm, detecting no \\ and regression models: up to & & ball delivery \\ \hline \end{tabular}
\end{table} 
Table 5: Characteristics of studies selected for systematic review.