Which data types are explicitly cited as collectable in sports analytics?

Which data types are explicitly cited as collectable in sports analytics?

• A. Weather data
• B. Team performance data and biomechanical data
• C. Ticket sales
• D. Stadium occupancy

Answer: (B)

The main idea here is identifying data that are directly collected to analyze performance in sports. The strongest fit is data on team performance and biomechanical data. Team performance data captures how a team or player actually plays—scores, shots, passes, defensive actions, possession metrics, and other on-field outcomes. Biomechanical data come from sensors and motion analysis that quantify movement patterns, force, velocity, and technique. Together, these data types are the core sources used to measure performance, train athletes, and inform strategy. Weather data can provide helpful context, since conditions can influence how a game unfolds, but it’s not a direct performance metric. Ticket sales and stadium occupancy are about the business side—fan engagement and venue use—not the performance analytics that assess how players execute and move on the field.

The main idea here is identifying data that are directly collected to analyze performance in sports. The strongest fit is data on team performance and biomechanical data. Team performance data captures how a team or player actually plays—scores, shots, passes, defensive actions, possession metrics, and other on-field outcomes. Biomechanical data come from sensors and motion analysis that quantify movement patterns, force, velocity, and technique. Together, these data types are the core sources used to measure performance, train athletes, and inform strategy.

Weather data can provide helpful context, since conditions can influence how a game unfolds, but it’s not a direct performance metric. Ticket sales and stadium occupancy are about the business side—fan engagement and venue use—not the performance analytics that assess how players execute and move on the field.