Skip to Content

Pagerank Algorithm Reveals World’s All-Time Top Soccer Team

The network created by the results of teams playing each other can be ranked in the same way as websites, say computer scientists.

Google’s Pagerank algorithm has become one of the most famous in computer science. It was originally designed to rank websites according to their importance by assuming that a site is important if it is linked to by other important sites.

The algorithm works by counting the links to a website and the importance of the sites these come from. It then uses this to work out the importance of the original site. Through a process of iteration, the algorithm comes up with a ranking.

Since Google’s founders, Larry Page and Sergei Brin, developed the algorithm in the mid-1990s, researchers have begun using it to rank nodes in other networks. One idea has been to use it to rank scientific papers using the network of links in the references they contain. Another is to use it for elections in which everyone is a candidate and can vote for anybody else.

Today, Verica Lazova and Lasko Basnarkov at Cyril and Methodius University in Macedonia have found another use for the Pagerank algorithm. These guys have used it to create an all-time ranking of the world’s national football teams using results from the 20 World Cup tournaments that have taken place since 1930. Their assumption is that a team should ranked highly if it has beaten other highly ranked teams.

The method is straightforward. They take the results of over 7000 games played between 210 countries since 1930. During these games, the teams scored over 20,000 goals at an average of 4.3 per game.

Lazova and Basnarkov go on to create a network in which teams are nodes and a link exists between them if they have played against each other. The weight and polarity of this link depends on the results, who has beaten who and so on.

Finally, they apply the Pagerank algorithm over a number of iterations to determine a ranking.

The results will be interesting reading for any soccer aficionado. The top ranked team is Brazil, which is hardly surprising given that it has won the tournament a record 5 times, more than any other nation. It has also played more games than any other team, won more games and scored more goals.

After Brazil come Italy, Germany, the Netherlands, Argentina, England, Spain, France and Czechoslovakia, in that order.

Lazova and Basnarkov then compare their ranking to the all-time list created by soccer’s international governing body, FIFA. This has Brazil at the top followed by Germany then Italy. Argentina is the 4th ranked team with Spain 5th and England 6th.

That’s similar to the Pagerank list but there are some striking differences too. The Netherlands are ranked 8th on Fifa’s list but 4th on the Pagerank list. Denmark is 17th on Pagerank’s list but only 25th on Fifa’s. And Czechoslovakia doesn’t appear at all on Fifa’s list, having ceased to exist as a country in 1993.

That’s an interesting approach that shows Pagerank’s utility in being able to rank the nodes in more or less any type of network. Clearly, the same approach could work for American football, baseball, basketball, cricket and more or less any other sport. If any computer scientist has some spare time to perform these rankings, he or she could win the hearts and minds of countless fans who will be eagerly awaiting the outcome of Pagerank’s ranking of their teams.

Ref: : PageRank Approach to Ranking National Football Teams

Keep Reading

Most Popular

light and shadow on floor
light and shadow on floor

How Facebook and Google fund global misinformation

The tech giants are paying millions of dollars to the operators of clickbait pages, bankrolling the deterioration of information ecosystems around the world.

protein structures
protein structures

DeepMind says it will release the structure of every protein known to science

The company has already used its protein-folding AI, AlphaFold, to generate structures for the human proteome, as well as yeast, fruit flies, mice, and more.

ASML machine
ASML machine

Inside the machine that saved Moore’s Law

The Dutch firm ASML spent $9 billion and 17 years developing a way to keep making denser computer chips.

brain map
brain map

This is what happens when you see the face of someone you love

The moment we recognize someone, a lot happens all at once. We aren’t aware of any of it.

Stay connected

Illustration by Rose WongIllustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at with a list of newsletters you’d like to receive.