[OC] More than a quarter of all World Cup 2026 goals have come in the final 15 minutes Visualization

What This Visualization Shows

This data visualization displays "[OC] More than a quarter of all World Cup 2026 goals have come in the final 15 minutes" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on Pulled every goal from the 101 completed matches (including today's semi final) of this World Cup and grouped them by the 15-minute block they were scored in.

The last 15 minutes of regular time (76–90, including added-on time) have produced 77 goals - more than a quarter of all 296, and nearly double any other block on the chart. The second half overall has produced 35% more goals than the first.

I kept extra-time goals from the knockout AET games as a separate bar, since they come from a much smaller set of matches and it'd be misleading to fold them into the 76–90 block.

Pretty cool to see this visualised properly!

Built this off [The Prism](http://theprismai.com), an AI football analytics app I've built to allow us to visualise things like this and a bunch more. Data + method in the comments., which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

This data visualization represents a sophisticated analysis of complex information patterns that provide valuable insights into underlying trends and relationships. Data visualization serves as a bridge between raw numerical data and human understanding, transforming abstract statistics into comprehensible visual narratives.

The power of data visualization lies in its ability to reveal patterns, outliers, and correlations that might not be apparent in traditional tabular formats. Through careful selection of chart types, color schemes, and interactive elements, effective visualizations can communicate complex information quickly and accurately to diverse audiences.

Modern data visualization combines statistical analysis with design principles to create compelling visual stories. This interdisciplinary approach requires understanding both the underlying data and the cognitive processes involved in visual perception. The result is more effective communication of quantitative insights that can inform decision-making and drive positive change.

Data Analysis and Insights

The patterns revealed in this visualization demonstrate the importance of systematic data analysis in understanding complex phenomena. By examining different data segments, time periods, and categorical breakdowns, we can identify trends that inform strategic planning and decision-making processes.

Statistical analysis of this data reveals variations across different dimensions that provide insights into underlying drivers and relationships. These patterns help identify areas of opportunity, potential risks, and key performance indicators that can guide future actions and resource allocation.

The analytical approach used in this visualization enables comparison across different categories, time periods, or geographic regions, revealing insights that support evidence-based decision-making. This type of analysis is essential for organizations seeking to optimize performance and understand complex market dynamics.

Significance and Applications

This data visualization has important implications for understanding trends and patterns that affect decision-making across multiple sectors. The insights derived from this analysis can inform policy development, business strategy, resource allocation, and operational improvements.

For analysts, researchers, and decision-makers, this type of data visualization provides essential insights for strategic planning and performance optimization. Whether addressing operational challenges, market analysis, or policy development, understanding data patterns helps create more effective strategies and solutions.

The broader significance lies in how this information contributes to our understanding of complex systems and relationships. This knowledge helps predict future trends, identify potential challenges, and develop more informed approaches to problem-solving and opportunity identification.