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Metrics glossary

What is Attempted Long Passes?

Learn what Attempted Long Passes means, how it is calculated, and when to use it in player evaluation. Explore charts, comparisons, and scouting insights with FBPlot.

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

Use Attempted Long Passes to compare players within roles and remove bias from raw totals. Pair it with percentile views for quick context.

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

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

Distribution snapshot

See how Attempted Long Passes is spread across players from the last 365 days of data.

Attempted Long Passes distribution
Avg 64.8
Min 1
Max 970
1970

Top performers (last 365 days)

How to interpret Attempted Long Passes

Use Attempted Long 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 Attempted Long 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 Attempted Long Passes measure?

Total long-range passes attempted. High numbers may indicate a more direct playing style or the ability to play expansive, range-finding passes.

When should I use Attempted Long Passes?

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

Which charts highlight Attempted Long 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.