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Metrics glossary

What is Completed Medium Passes?

Understand Completed Medium Passes in football analytics, with practical context and chart ideas for analysis.

Category: passingMetric ID: pass_completed_mediumUsage: Scouting, reporting, and benchmarking

When you share Completed Medium Passes, include the definition so non-technical audiences understand the impact.

Charts turn Completed Medium Passes into an easy story. Start with a radar chart for a broad scan, then isolate the metric in a bar chart.

Category
passing
Metric ID
pass_completed_medium
Usage
Scouting, reporting, and benchmarking

Distribution snapshot

See how Completed Medium Passes is spread across players from the last 365 days of data.

Completed Medium Passes distribution
Avg 154.8
Min 1
Max 1,903
11,903

Top performers (last 365 days)

How to interpret Completed Medium Passes

Use Completed Medium Passes alongside related metrics in the passing category to understand role fit and tactical impact.

  • Compare within the same competition or position group
  • Use percentile ranks to normalize minutes played
  • Combine with at least one supporting metric

Best charts for Completed Medium Passes

Radar charts surface it in context, while bar charts isolate the metric for direct comparisons.

  • Radar chart for full profile context
  • Bar chart for side-by-side comparisons
  • Exported visuals for reports and social sharing

Related metrics

Frequently asked questions

What does Completed Medium Passes measure?

Medium-range passes (15-30 yards) successfully completed. These passes connect different areas of the pitch and are essential for breaking through defensive lines.

When should I use Completed Medium Passes?

Use Completed Medium Passes when you need to evaluate passing contributions and compare players in similar roles.

Which charts highlight Completed Medium Passes?

Radar charts give context across metrics, while bar charts isolate the metric for direct comparisons.

Where can I learn related metrics?

Use the metrics glossary to explore complementary stats in the same category.