Which FIFA World Cup 2026 Match Should You Watch Again? A Python Data Analysis

Which FIFA World Cup 2026 Match Should You Watch Again?

After every FIFA World Cup, one question always comes up:

Which matches are worth watching again?

Instead of answering this question based on personal opinion, I decided to analyze every match from the FIFA World Cup 2026 using Python, Pandas and Matplotlib.

The objective was simple:

• Find the matches with the most goals.
• Identify the strongest defensive performances.
• List every game that required extra time.
• Show every match decided by a penalty shootout.

The result is a collection of custom visualizations generated entirely with Python using the FIFA World Cup 2026 dataset.

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⚽ Highest Scoring Matches

If you enjoy attacking football and goal-filled games, this ranking is the perfect place to start.

Using the official match results, I ranked every match by the total number of goals scored by both teams.

The visualization highlights the ten highest-scoring matches of the tournament.

NOTE : England are twice on the chart.

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🛡 Best Defensive Matches

Great football isn't always about scoring goals.

Some of the tournament's most exciting matches were decided by incredible defensive performances.

For this visualization I created a defensive index combining tackles, interceptions, goalkeeper saves and goals conceded to identify the strongest defensive battles.

NOTE: Spain and Cape Verde twice on the list

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⏱ Matches That Went to Extra Time

Some matches simply couldn't be decided after 90 minutes. NOT Penalty Shootout

This visualization shows every game that reached extra time, including the score at the end of regular time and the final result after 120 minutes.

It also indicates the tournament stage where each dramatic encounter took place.

NOTE: Argentina has 3 of 5 on the list

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🥅 Matches Decided by Penalty Shootout

Penalty shootouts represent the highest level of tension in football.

This visualization includes every match that required penalties, displaying both the score before the shootout and the final penalty result.

NOTE: I think all matches are good to rewatch

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Built with Python

All visualizations were created using:

• Python
• Pandas
• Matplotlib
• Jupyter Notebook

The project uses the FIFA World Cup 2026 dataset to transform raw match statistics into publication-ready sports visualizations.

From Charts to Insights

While each chart reveals a different aspect of the FIFA World Cup 2026, combining all of them provides an even more interesting perspective. The following table summarizes how often each national team appeared across all analyzed categories, making it easier to identify which teams were involved in the tournament's most memorable matches according to the data

National Team	Appearances	Featured Categories
🇨🇭 Switzerland	4	Highest Scoring Matches • Best Defensive Matches • Extra Time • Penalty Shootouts
🇧🇪 Belgium	3	Highest Scoring Matches • Best Defensive Matches • Extra Time
🏴 England	3	Highest Scoring Matches (2) • Extra Time
🇪🇸 Spain	3	Best Defensive Matches • Extra Time (2)
🇦🇷 Argentina	3	Best Defensive Matches • Extra Time (2)

GitHub Repository

The complete source code used to generate every visualization is available on GitHub.

👉 GitHub Repository:
https://github.com/zelideth27-lab/fifa-world-cup-2026-analysis_v3

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Conclusion

Every football fan enjoys the game differently.

• ⚽ Love goals? Start with the highest-scoring matches.
• 🛡 Prefer tactical football? Explore the defensive rankings.
• ⏱ Enjoy dramatic endings? Watch the extra-time matches.
• 🥅 Want maximum suspense? The penalty shootouts are unforgettable.

This project demonstrates how Python can transform sports data into engaging visual stories while helping fans rediscover some of the best moments from the FIFA World Cup 2026.