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Metrics glossary

Attempted Short Passes in football analytics

Learn what Attempted Short 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_shortUsage: Scouting, reporting, and benchmarking

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

Attempted Short Passes helps analysts quantify total short-range passes attempted. high volume indicates involvement in intricate passing patterns and possession-based play.

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

Distribution snapshot

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

Attempted Short Passes distribution
Avg 173.8
Min 1
Max 1,815
11,815

Top performers (last 365 days)

How to interpret Attempted Short Passes

Use Attempted Short 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 Short 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 Short Passes measure?

Total short-range passes attempted. High volume indicates involvement in intricate passing patterns and possession-based play.

When should I use Attempted Short Passes?

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

Which charts highlight Attempted Short 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.