Winning has been a superior function in sports which raises a need to consider individual games and players per situations. This gave rise to analytics in field of sports.
Sports analytics brings a detailed observation about opponents’ tendencies like study of player on and off the field as well help coaches to judge the strengths and weaknesses of its player and what it takes to create a winning combination.
According to Infoholic Research, Worldwide Sports Analytics Market is expected to grow at a CAGR of 40.1% during the forecast period 2016–2022 to touch an aggregate of $3.97 billion by 2022.
Analytics in sports has got its lucrative taste and is en-route to shape an unimaginative dimension for it(sports). Sporting teams are designing a combination of right data and analytics which will help them to deal with all the different aspects involved in the game.
Following are 8 trends how analytics is reshaping sports :
Trend #1: Enhance players and game performance
Coaches and managers are using historical data collected from video and images of a player’s activity to predict player performance and the outcomes of the game. Each game offers different variable (eg. Football include: No. of Passes, Possession, Goal Scored) for analysis and excavating vital sights can pour in performance enhancing results.
Trend #2: Analyzing player’s health
Data collected of individual player’s activity based on video, GPS and biometric devices are helping to predict which players are the fittest and which ones have their full potential coming into a game.
Wearable IoTs keeps track of heartbeats, muscular tensions etc. and sends data in real-time that are later analyzed by Analytical tools. This is one more reason IoT in health care is in great demand and the market is growing at a CAGR of 43.3%.
Trend #3: Fan engagement
Depending on the data collected through location and time-based viewership, sports channels analyze and decide on the kind of content to be showed and launch services accordingly.
This means more customized development in the sports viewership, more viewers pouring in, eventually more popularity and more ROI.
Trend #4: Dynamic ticket pricing
Modern day analytics helps to capture data for each game like how many seats must be allocated to loyal customers, how many needs to be allocated to ticket agencies and other resellers in the market. The ticket pricing is decided comparing present performance of a team, the success of the team’s opponent and weather forecast for the next match.
Trend #5: Virtual Reality
It generates critically observed data which can analyze player’s physical movements and helps to avoid injuries. It uses real video and helps to analyze each team’s individual players’ experiences.
Particularly in risk related sports like F1 and other motor racing sports, combat sports etc. virtual reality plays an immense role. Further the data collated by virtual reality devices are analyzed Analytics tool for substantial risk reduction and game improvement.
Trend #6: Social media analytics
Social media contents are analyzed at different level of performances, like overall team, individual players and specific games. It provides data regarding types of relationship fans have with their teams in different situation which are used by sports channel to design their marketing strategies.One can easily see the polls conducted by various Tv channels in Twitter and Facebook that are later displayed in the screen.
Trend #7: Streaming analytics
Live data is taken while it is still being telecast and it connects to external data sources that enables applications to use selected information. This analytical tool provide continuous query access to streaming data that produces instant streaming by taking inputs from the live data that is generated.
Trend #8: Analyzing Sponsorships
Analytics has already become indispensable in all business sectors and houses if they need to compete well. Infoholic Research in a report ‘Advanced Analytics Benchmarking the Enterprise Growth’ stated that large enterprises are spending 15% of their IT expenditure in advanced analytics.
Advertising companies plying to survice or grow their businesses use different form of relevant data to engage with fans and make decisions regarding sponsorships deals with sports teams. It provides personalized information regarding customer reach and broadcast ratings which helps to drive conclusions regarding actual online and real-world behavior of audiences.
Key aspects to make sports analytics successful:
- Combine leadership at all levels: All the key stakeholders of the team need to agree on driving analytics and use it as a potential tool to take major decisions.
- Involve players: Players are the key link for application of analytics to be successful and help transform performance both at individual and team level.
- Combine sports and analytical resources: Sports and analytics are specialized fields. There is a need to involve resources with expertise in both the fields who can work on sports performance-oriented projects.
- Bridge the gap between technology and analytics: Technologies like video, biometric sensors and locational devices generate huge amount of data and require effective analytical horsepower to use it efficiently, this makes it necessary to build a strong relationship between technology partners and analytics staff.
There is a need to create a healthy ecosystem among different departments for analytics to be successful in sports. In the coming days, analytics will play a major role in all sports. The most important aspect a sports team will consider is how analytics will help them to win and generate customer base to attract sponsorships.