[OC] Where the two World Cup finalists sit on attack efficiency vs defensive resistance Comparison

What This Visualization Shows

This data visualization displays "[OC] Where the two World Cup finalists sit on attack efficiency vs defensive resistance" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on In spirit of today's World Cup final, I plotted every team that reached the knockouts on two things: how clinical its attack has been (goals as a share of shots taken) and how resistant its defence has been (shots on target faced that it kept out).

Spain: 10.8% of shots scored, 90% of shots on target faced kept out. Argentina: 17.0% scored, 56% kept out.

Who do you think takes the throne today?

>Built off [The Prism](http://theprismai.com), an AI-powered football analytics app i've built. Chart: Python/matplotlib. "Attack" = goals ÷ total shots; "defence" = 1 − (goals conceded ÷ shots on target faced), i.e. the share of on-target shots a team kept out. Population is the 32 teams that reached the Round of 32. **No xG in this feed** \- this is shots and shots-on-target only, so read it as a shot-quantity picture, not a chance-quality one!, which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

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