What Football Statistics Truly Deliver: 3 Key Functions
Statistics are not an end in themselves. They serve three concrete functions.
Function 1: Reveal Trends
A single observation can be a coincidence. A trend is reality.
“Max played worse today” is an observation. “Max has scored lower in ball control in the last 4 evaluations” is a trend – and a clear call to action.
Statistics reveal trends that intuition might miss.
Function 2: Make Conversations Substantial
Whether with parents, the club board, or the player themselves – data-driven conversations are more substantiated than those based solely on impressions.
“Your daughter has improved by three evaluation levels in stamina since the start of the season” is a different statement than “She is developing well.”
Function 3: Provide Arguments
Sometimes a coach needs arguments – for more training time, for a specific development measure, or for team composition. Data provides these arguments.
The 6 Most Valuable Training Statistics
Statistic 1: Training Attendance
How often does each player attend training? Absolute number and percentage (e.g., 75% attendance = 3 out of 4 possible training sessions).
Why it's valuable:
Attendance rate correlates with development. Those who don't attend cannot learn.
Realistic Benchmarks:
- 75–85%: Normal and good
- Below 70%: Conversation recommended
- Below 50%: Urgent discussion with player and parents needed
Statistic 2: Training Frequency
How many sessions per month take place? Comparison: What was planned vs. what actually occurred.
Why it's valuable:
If planned sessions are canceled due to hall closures, holidays, or bad weather, you can see if the plan is still on track.
Statistic 3: Content Distribution
How are training focuses distributed throughout the season? What percentage is technique, what percentage is tactics, what percentage are game forms?
Why it's valuable:
Coaches often believe they plan systematically – until they see the numbers and realize that 80% of sessions were free play and technical training barely happened.
Statistic 4: Player Development Average
How has the team, on average, developed in a specific attribute? Example: Team average for passing in September was 5.2, in December 6.4.
Why it's valuable:
Shows whether the training focus had an impact. If passing was a focus for three months and the average stagnates, the methodology needs to be questioned.
Statistic 5: Match Record
Wins, draws, losses over the season – combined with training data.
Why it's valuable:
Not as a performance pressure tool, but as a context provider. If the team is in a losing streak and training data shows decreased attendance and poor evaluations – then both are connected.
Important: In youth football, results are not the primary goal. Statistics are only used meaningfully in conjunction with development data.
Statistic 6: Coach OS Usage Time
How much time do you spend in Coach OS for training planning? Average per session.
Why it's valuable:
If the average planning time is 8 minutes instead of 45 previously, that's a concrete value for the time saved.
3 Statistics You Can Afford to Skip
Superfluous 1: Sprint Speeds
GPS tracking for sprint speeds is unnecessary in youth football. Speed becomes apparent in training exercises – not through measurement.
Superfluous 2: Real-time Pass Completion Rates
What percentage of passes are completed? Unreliable to track without professional equipment, and: pass quality is demonstrated in play, not in raw percentages.
Superfluous 3: Heatmaps and Complex Running Metrics
Valuable tools in professional football – but irrelevant for U14 training. No basis for concrete training measures in youth football.
3 Practical Examples: When Statistics Make a Difference
Example 1: Recognizing Stagnation
You notice that your team has been playing at the same level for weeks – no progress. You open the development trends in Coach OS.
Result: Ball control and passing are stagnant. However: Pressing has improved. This shows that the pressing focus had an effect – the other areas now need attention.
Without statistics, this differentiation would not have been possible.
Example 2: Attendance Crisis
You have a feeling that fewer and fewer players are attending. The statistics show: In the last 4 weeks, the attendance rate has dropped from 78% to 61%.
Now you know: This is not just an impression – it's reality. You can take targeted action: conversations with affected players, root cause analysis.
Example 3: The Coach's Argument
The club board asks why the team is performing worse than expected this year. You can show:
- Attendance rate: 68% (3 key players had many absences)
- Player development: Average in tactics: 4.8 (still developing)
- Training frequency: 2 sessions canceled due to hall closure
This is a substantial answer – not an excuse, but context.
What Coach OS Automatically Tracks: 3 Statistic Views
Coach OS collects statistics without extra effort. Three views are available:
View 1: Training Statistics
- Attendance rate per player
- Training frequency throughout the season
- Content distribution of sessions
View 2: Team Statistics
- Average development ratings per attribute
- Comparison: Season start vs. current
- Workload distribution (high/medium/low per week)
View 3: Player Development
- Individual trends for each player
- Attribute Radar: visual overview of all 17 areas
- Historical evaluations
GDPR and Training Statistics
Training statistics often contain personal data: names, attendance, evaluations. This is subject to GDPR.
What Coach OS does:
- All data is stored on servers in Germany (Hamburg)
- GDPR-compliant operation
- No sharing with third parties
- Club data protection officer can be informed
Important: If you, as a coach, digitally record player data (including evaluations), inform yourself about your club's requirements. Coach OS provides the technical GDPR basis – the organizational implementation lies with the club.
Conclusion: Beneficial Statistics – Without Unnecessary Effort
In youth football, 6 valuable statistics are enough. They show what is truly happening – in development, attendance, and training.
Coach OS automatically records these statistics. You don't need to maintain separate spreadsheets – the data is generated as a byproduct of your regular coaching work.
→ Test Coach OS and training statistics for free: coach-os.de
FAQ: Football Training Statistics
Which statistics are truly relevant for youth coaches?
Attendance rate, training frequency, content distribution, player development average, match record in context, and planning time efficiency.
Do I need GPS tracking for valuable training statistics?
No. GPS tracking provides sprint speeds and running data – irrelevant for youth football and unreliable without expensive equipment.
How does Coach OS record statistics?
Automatically as a byproduct of normal usage: attendance is recorded at the start of training, evaluations when entered by the coach, and content when planning sessions.
What is a good attendance rate in youth football?
75–85% is good. Below 70% should trigger a conversation. Below 50% indicates urgent action is needed.
Are training statistics GDPR-compliant in Coach OS?
Yes. All data is stored on servers in Germany (Hamburg). Coach OS is GDPR-compliant.
Can I export statistics from Coach OS?
Yes. Statistics can be exported as a PDF or overview – for discussions with the club board, parent meetings, or your own analyses.