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Throw-Ins Taken in football analytics

Understand Throw-Ins Taken in football analytics, with practical context and chart ideas for analysis. Explore charts, comparisons, and scouting insights with FBPlot.

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

Throw-Ins Taken helps analysts quantify number of throw-ins executed by the player. while often overlooked, effective throw-ins can maintain possession and create attacking opportunities.

Use Throw-Ins Taken to compare players within roles and remove bias from raw totals. Pair it with percentile views for quick context.

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

Distribution snapshot

See how Throw-Ins Taken is spread across players from the last 365 days of data.

Throw-Ins Taken distribution
Avg 26.3
Min 1
Max 357
1357

Top performers (last 365 days)

How to interpret Throw-Ins Taken

Use Throw-Ins Taken 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 Throw-Ins Taken

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 Throw-Ins Taken measure?

Number of throw-ins executed by the player. While often overlooked, effective throw-ins can maintain possession and create attacking opportunities.

When should I use Throw-Ins Taken?

Use Throw-Ins Taken when you need to evaluate passing contributions and compare players in similar roles.

Which charts highlight Throw-Ins Taken?

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.