The significance of data analytics in everyday online transactions, communication, sports, media, and day-to-day life has become more ubiquitous. Recently football was included in the data monitoring equation. Through the Internet of Things (in sensory connectivity and data analytics) the regulation of sports and football has made some serious advancements towards modernization and efficiency. In football players’ performance analysis is extremely important on a more intimate level, it allows evaluating individual players in different segments and provides more precision to action-related conclusions which are crucial for future plans and strategies against the opponent.
These metrics are not only important among the world of media but also based on these a lot of future game plans are planned, sometimes these data are required for conjuring future promotional welcoming betting offers especially for online sports gambling.
By preserving data collection all the gambling platforms can plan their strategies with more precisions, they can apply more smart ways to interact with their audience. To put simply the systems can be more efficient than it has ever been.
In football, Big Data and IoT are combined for recognizing the following attributes.
In order to obtain quantifiable data on the fitness of the players' sensory devices are worn by the athletes, it helps in monitoring the fitness levels of the players. So many fitness parameters are assessed like muscle composition, running speeds, heart rates, etc. to push their limits and bring the best out of them. This data helps both the coach and the players to work out their plans and building goals so that they can achieve improvements and maintenance for physical activities. The devices can be inserted within their clothes then transmitted via Wi-Fi networks within the practice ground and the stadium.
A Big Data IoT device named HUMANoX Soccer has introduced in football to increase the capacity for digital performance and monitoring. The HX50 shin pads can increase resistance under high endurance and physical environment, it can process more than 50,000 data per second during the training sessions. It communicates with its surroundings in real time, it not only improves performance but also take care of the players’ health. Its carbon fiber composition provides ultimate resistance to shocks, the integrated body thermometer allows risk reduction against Covid-19 and other fever conditions. Its fatigue alert and heart rate monitorization keep a strict eye on the health of the players.
VAR is an IOT camera that provides real-time data for taking decisions like goals, penalties, red cards, etc. Data received by the camera are more accurate than human judgment. Which means it can increase the efficiency and accuracy of the gameplay altogether. This technology first appeared within the Russian World Cup 2018. It helps the referee to determine whether the goal should not be awarded or as the ball has crossed any line or no clearly wrong decisions are made to sending off or not sending off a player.
In football, Big Data is composed of computer analytics programs to monitor algorithms and Artificial Intelligence (AI). Data obtained from such devices provide much accuracy and precisions to the predictive models so the entire system can be improved for player production and to enhance their performance. The platform will become evidence-based with these technologies, it keeps all the statistical figures generated from each player. Football teams can also be more aware of how their players would respond on the field.
It goes without saying how IoT together with Big Data can organize the players and the team to bring their best in Football.
Tanaya is a Senior Content Developer at IoT Avenue who helped to build the content of the site along with several other sites with her compassionate SEO driven content. She is also a HubSpot, certified Content Marketer. She brings her five years of experience to her current role, where she is dedicated to developing the content of different websites.
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