Sports data visualization, like other sports analytics methods involves the use of data and advanced statistics to measure team performance and gain a competitive sports advantage. Sports data visualization is a visual communication that presents data in graphical and pictorial form. With data visualization, large data and records can be quickly and conveniently analyzed without having to go through the data piece by piece. Data presented in this manner are in the form of charts, graphs, maps and tables. Today, I will discuss how data visualization is used to improve team performance.
Data visualization in sports
Sir Clive Woodward, the past coach of the English rugby team, at the Sports Performance and Tech Summit of 2014, spoke about how the knowledge of data visualization helped his team in winning the 2003 Rugby world cup final, held in Australia. The team players were reported to have analyzed their various performances through the use of data visualization and worked on their weaknesses prior any competition; thus, their predictable success in 2003.
Sports data visualization methods usually require the use of software and tools, such as Microsoft Excel, Powerpoint, and Tableau. These tools can collect data from several databases with numerous records and create a pictorial image of them. They are generally referred to as data visualization software. Data visualization can be applied to sports in the following ways:
It helps sport teams identify areas that need attention or improvement. The analytic software commonly used here is Prozone. ProzoneTM links several complex and unrelated data together as a unit so it can be easily understood by its users. It also aids teams and coaches to gain better understanding of their opponents’ strategy as well as suggests most suitable operations and actions that can be adopted for better results. It does this by highlighting players that would best fit within a team tactical system. This software can also be used in football, baseball, and basketball analytics.
Data visualization is time-saving:
Because sports data visualization provides for flexibility in converting one chart to another, teams can modify their data in a short or no period of time at all. It also saves time required for reading long reports and data.
Data visualization is important for spot diagnoses and problem solving
For instance, a fall in team’s performance can be easily detectable on the bar chart when, without having to go through the rigors of searching through several data and records. Data visualization programs also provides other visualizations like action rates, individual player movement, passing diagrams etc.
Data visualization provides an interface to interact with data
Interactive data visualizations can enable teams to manipulate their data records in previous games and competitions in other to uncover factors such as reasons for their deficiencies in a competition, etc. This can greatly improve teams’ performance.
In conclusion, the data revolution in sports and gaming has improved the way coaches, teams and fans interact with events on the field.Sport teams will perform better if the method of data visualization is applied in their analytics.
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