Visual Data Presentation

Course: How To Analyse A Match
Section: 8 - Creating Actionable Reports
Subsection: 2 - Visual Data Presentation
Page URL: https://www.skool.com/coachingacademy/classroom/9775ce2d?md=510bfd4b475c4410907617a7d7b3d656

Core Principle

Numbers without context are meaningless. Heat maps without explanation waste time.

Your analysis must tell a story your players understand immediately.

Pitch Diagrams That Work

Essential Requirements:

• Use your team colours - Creates immediate visual connection
• Show maximum 5 movements per diagram - Prevents visual overload
• Number the sequence clearly - Ensures logical flow understanding
• Add simple arrows for direction - Shows movement patterns clearly
• Include player names, not just positions - Personalizes the feedback

Heat Map Interpretation

Don’t just show where players were. Explain what it means:

Effective Communication Examples:

• “Your heat map shows you never got into the box” - Direct, actionable feedback
• “Look how much space you left between midfield and defence” - Highlights tactical gaps
• “See how narrow we became in the final third” - Shows shape problems

Video Clip Compilation Rules

Technical Requirements:

• Maximum 3 clips per coaching point - Prevents information overload
• Each clip under 30 seconds - Maintains attention and focus
• Clear audio commentary - Ensures understanding
• Slow motion only for technical details - Use sparingly and purposefully
• Always finish with full-speed replay - Shows real-time application

Implementation Strategy

Visual Storytelling Framework:

1. Context First - Explain what the data shows
2. Evidence - Use visuals to support the message
3. Action - Clear next steps from the analysis
4. Relevance - Connect to team/player objectives

Best Practices:

• Keep visual elements simple and clean
• Use consistent color coding throughout
• Provide clear legends and explanations
• Focus on actionable insights rather than raw data
• Test understanding with quick questions

Common Mistakes to Avoid:

• Overloading diagrams with too much information
• Using data without explaining its relevance
• Creating visuals that require extensive explanation
• Ignoring team-specific context and identity
• Focusing on problems without solutions