Download Data Collection & Activity Analysis

DATA COLLECTION & ACTIVITY
ANALYSIS
Week 2
What you need to know…
 Why collect data and analyse activity
 Different methods of data collection
 Types of data collected: skill frequency,
movement patters, heart rate, W:R
ratios, intensity
 How each method is used to analyse
activity
Data Collection
 To collect a range of data about the
fitness or physiological requirements of
an activity or sport that can be analysed
to determine strategies for enhancing
physical performance
Why Collect Data & Analyse Activity?
1. To identify the fitness components of
the sport
2. To identify the contribution of each
energy system in the sport
3. To identify the muscles and muscle
groups used in the sport
  to be able to enhance performance
Which Data?
 Four areas
 Physical
• Which energy systems are involved?
• Which fitness components are required?
• Which major muscle groups are used?
 Mental
 Technical
 Tactical
Methods of Data Collection
 Observation
 Useful on game day
 Particularly useful for identifying errors,
recognising patterns of play, making connections
between actions and results
 Observation and statistical data collection
 Concrete evidence
 Usually combined with observation
 Videotaping combined with observation and
statistical data collection
Usually insufficient time during a game to look at
video
 After used post-game to slow down and replay

Types of Data Collected
 Skill frequency
 Work-rest ratios
 Intensity charts
 Combined intensity and work-rest ratio
 Movement patterns
 Heart rate
Skill Frequency
 Data collected can be:
 Type of skill
 Frequency of skill
 Effectiveness of skill
 Muscle groups used
Skill Frequency
 Analysis
 Very useful to identify under which
circumstances and how often skills are
used
 Muscle groups used
 When combined with D & I  fitness
components and energy systems
 Knowledge of results
• Information about outcome of performance (eg:
in/out)
Work-Rest Ratios
 Compares amount of time ‘working’ to the
amount of time ‘resting’
 What is ‘work’, ‘rest’?
 Very useful in team sports and for particular
positions
 Vital for considering
Contribution of the three energy systems
 Intensity of effort
 Method of training to be chosen
 Type of recovery to be chosen

Intensity Charts
 Breaking down movements (work) into
intensities are recording
 High
 Sprints,
side step, shuffle, change of
direction, jump
 Medium
 Running (jog  sprint)
 Low
 Jogging
Combining Work-Rest Ratio & Intensity
 When considering W-R it is vital to look
at intensity
 Work: what intensity? How long?
Longest work? Shortest work?
 Rest: what %? Longest rest? Shortest
rest?
Combining Work-Rest Ratio & Intensity
 Analysis
 Predominant energy systems
 Energy system interplay
 Helps to plan training  specificity
Movement Patterns
 Reveal typical locomotor activities completed
during a game or performance
 Analysis
Muscle groups used
 When combined with D & I

• Determine fitness components
• Determine energy systems
Work-rest ratios
 Skill frequency
 Help to develop specific training programs

Heart Rate
 Provide information on
 Intensity
 Training zone
 How will athlete is coping with workload
 How close athlete is to maximum effort
 Heart rate zones
 Anaerobic zone
• >85% max HR

Aerobic zone
• 70-85% max HR

Recovery zone
• <70% max HR
Heart Rate
 Analysis
 Primarily intensity
 When combined with D of work and rest
can help determine
• Fitness components
• Energy systems
Activity Analysis
 Once the data has been gathered
analysis can begin
 Analysis involves skills such as
 Identifying
patterns in data
 Recognising relationships and connections
between pieces of information
 Explaining
 Classifying
 Concluding
Games Analysis
 Analysis of a team game to reveal the
fitness components, energy systems,
muscle groups and skills used so that
the performance may be improved