Activity Analysis

12345678910111213141516
Across
  1. 3. This method of activity analysis can be easily completed using direct observation but can also be collated using different technologies. Commonly in table format and are generally referred to as ‘stats’. Tables outline the frequency, and in many cases the effectiveness, of execution. This data gives an indication of the predominant fitness components and muscles/muscle groups
  2. 5. A Total distance covered of 4018 m during a game suggests this fitness component is important
  3. 6. this method can collect Statistical data that can be recorded live and analysed immediately, or gathered and analysed after the event. Video is the main method to record data as you can replay, slow down and freeze-frame the images.
  4. 9. The most common method to collect data. It is a practical method of data collection but has low accuracy. The coach or interested party views the player or team from the sideline. All gathered information is subjective
  5. 13. involves using a device (usually a watch) that provides data on a participant’s response to physical activity. Measured in bpm(beats per minute). Used to estimate physical activity as energy expenditure (oxygen uptake), based on the assumption of a linear association energy expenditure. Provide important information about the role of the energy systems
  6. 14. reveal typical activities completed by a performer during a game or an activity. They provide info on the distance of efforts to determine the fitness components and energy systems that are used.
  7. 15. GPS movement patterns show that the total distance is made up of many shorter and repeated high intensity efforts, suggesting this fitness component is important
  8. 16. this data is used to assess the time spent physically working compared to the time spent resting or recovering. This data is vital in determining an athlete’s energy systems and intensity of effort. This calculation provides information that underpin decisions about methods of training, work intervals and rest intervals.
Down
  1. 1. a high number of jumps and explosive movements in skill frequency data suggests this fitness component is important
  2. 2. the first step in designing an individualised training program that involves the recording and analysis of movement and skill data from a game, sport or activity to understand the physical demands on the performer in the competitive setting
  3. 4. a high number of sprints in skill frequency data suggests this fitness component is important
  4. 5. a W:R of 1:1 or 2:1 or above (work similar to rest OR work higher than rest) indicates that this energy system is most important during work periods
  5. 7. a high number of dodges in skill frequency data suggests this fitness component is important
  6. 8. tracking devices are used for activity analysis at elite levels. Individual players wear these sophisticated devices, which record data indicating various movement patterns and efforts throughout the playing period.
  7. 10. a W:R of 1:3 - 1:4 indicates that this energy system is most important during work periods
  8. 11. a W:R of 1:5 and above (rest significantly higher than work) indicates that this energy system is most important during work periods
  9. 12. the process of gathering information. This is the first step of activity analysis.