# Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities
## 7 Applications of Wearables in Sports
### Team Sports
\begin{table}
\begin{tabular}{p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt}} \hline \hline
**Ref.** & **Commercial Wearable Age (Year)** & **Participants Age (Year)** & **Performance Metrics** & **Outputs/Conclusion** \\ \hline
[109] & KINEXON & 40 elite handball players (28.7 \(\pm\) 49) & Time on court, total distance, high-speed distance & Differences have been observed in terms of playing time and distances covered by athletes based on their player positions. \\ \hline
[110] & KINEXON & 10 men NCAA DI basketball players (NA) & Total mechanical load, jump load, accelerations, deceleration, average speed, maximum speed, maximum speed. & During a basketball match, it has been reported that maximum speed, accelerations, total jumps, and not-MECTI vary according to player positions. \\ \hline
[112] & ZEPP PLAY SOCCER & 20 university-level soccer players (22.3 \(\pm\) 2) & Walking, running, spring, maximum speed, passing number, dominant and non-dominant foot. & Players’ physical and actual behaviors have varied depending on the number of players during Small-Sided Games (SSGs). When played with more players (e.g., Av6), a greater distance is covered, whereas in the opposite scenario (e.g., Av2), an increase in walking distance has been observed. \\ \hline
[93] & CATAPULT & Twenty-five professional male basketball players (26.2 \(\pm\) 49) & PlayerLoad, PlayerLoad per minute, RPE, HR & It has been stated that due to the lack of a significant relationship between weekly fluctuations in testosterone and cortisol and and and internal loads, external and internal weekly hormonal responses during the pre-season period. \\ \hline
[111] & CATAPULT & One defender (24) one blocker (25) beach volleyball players & Field time, PlayerLoad, total jumps, total distance, number of CODs to the right and left. & In terms of external load, it has been reported that tactical-technical training, official matches, match warm-ups, and physical training occur in that order. Additionally, differences in external load have been observed between defensive and blocking players during official matches and training sessions. \\ \hline
[113] & CATAPULT & 36 football player (24 \(\pm\) 5.26) & Distance, meters, speed, number of sprits, PlayerLoad, field time, accelerations, deceleration & It has been emphasized that all developed models can be used to predict injury risk and provide warnings about incorrect training loads. \\ \hline
[114] & POLAR TEAM PRO & 23 top-level female football player (27.65 \(\pm\) 4.66) & Walking, running, jogging, and spring distance, accelerations, decelerations & When considering all examined variables in a total of 23 matches, a decrease in external locomotor demand towards loads has been detected. \\ \hline
[115] & STATSPORTS APEX & 24 semiprofessional rugby league players (25.1 \(\pm\) 3.8) & Total distance, speed, maximum velocity, the number of high-intensity accelerates, dynamic stress load, high metabolic load distance. & When comparing real-time acquired data with post-event data across all analyzed parameters, a close-to-perfect or near-perfect relationship has been identified. \\ \hline
[116] & STATSPORTS APEX & 37 elite Gaelic football players (26 \(\pm\) 4) & Distance, high metabolic load distance, maximal velocity, accelerations, decelerations, dynamic stress load & No significant impact of Readiness to Train (RTT) on high-speed running performance has been detected in training and match environments. \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Wearables in Team Sports.