In this video, you will know how data science is transforming our lives through Sports Industry.
Real Madrid is utilizing Microsoft technology to change its operations, fitness performance, and relationships with 500 million fans across the world. Manchester United Football Club depends upon Aon to search for innovative solutions so that they can stay ahead of the competition.
So, let’s now take a look at the use cases of Data science in sports.
1. The predictive analysis
Predictive analysis can deliver insights on how the team should be on the game day. Which intern gives much better team performance and increases the win probability of the team. By Using Machine learning models, we can do Player analysis, Team analysis, Fans management analysis, and Win predictive analysis.
2. Using advanced visualization to deliver insights
Data visualization is a vital tool in today’s data-focused environment and the sports domain is no exception to it. Presenting information in a graphical format enables the management to see analytics that helps them to grasp difficult concepts or identify new insights. The next step is the interactive visualization, you can take the concept a step further by using technology like tableau or click view to drill down into graphs and charts for more detail and insight on zone level, interactively changing what depth of the data you see and how it’s processed. Team manager Dashboard, and Fans Dashboard, are examples of it.
3. Understanding network of fans
Every sports team has its own enthusiastic fan base, Our interactive dashboards allow one-on-one with fans, create targeted marketing campaigns, and use the data gathered to analyze and track fan behaviors. This way management knows, what drives their fans crazy over their team.
4. Into the world of Sports Gambling
Sports analytics doesn't only has a huge impact on and off the field but also it has contributed to the ever-growing industry of sports gambling, which accounts for approximately 13% of the world gambling industry. Valued between $700-$1,000 billion, sports gambling is extremely popular from avid sports fans to recreational gamblers, these days it is difficult to find a professional sporting event with nothing riding on the results.
Professional sports organizations invest a handsome amount of money into finding and onboarding new athletes and players. Coaches can draw conclusions based on the players’ performance stats. Data scientists, as well as sports statisticians, can bring out possible correlations based on huge amounts of data.