Brazil’s World Cup squad revealed as most attractive

Brazil’s World Cup squad revealed as most attractive

7 de dezembro de 2022 Off Por Ray Santos

Brazil ranks as the second most attractive football team at the World Cup, with a 76.51% match to the golden ratio. 

That’s according to, whose latest study has calculated the most attractive teams at the World Cup. Each nation’s players have been analysed utilising the golden ratio, a mathematical symmetry which influences perceived attractiveness.The results were calculated to express each teams average match to the golden ratio.

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The most attractive teams at the World Cup

RankNational TeamTeam’s golden ratio match in 2022Country’s most attractive playerMost attractive player golden ratio match in 2022
1Serbia76.86%Srdjan Babic88.32%
3South Korea76.19%Kyung-won Kwon85.81%
4Poland75.95%Przemyslaw Frankowski86.31%
5Argentina75.84%Franco Armani89.54%
6Croatia75.17%Kristijan Jakic87.28%
7Denmark74.30%Joachim Andersen88.56%
8Uruguay73.96%Fernando Muslera87.81%
9England73.32%Aaron Ramsdale83.40%
10Netherlands73.09%Mark Flekken88.23%

Serbia is the most attractive nation at the World Cup, according to the golden ratio 

Serbia rank in first place, with a 76.86% match to the golden ratio. This score is helped by their 26-year-old center back, Srdjan Babic who has a staggering 88.32% match to the golden ratio making him the 15th most attractive player at the World Cup this year. This makes Babic 8.31% more attractive than Cristiano Ronaldo, who has a 80.01% golden ratio match. 

Closely following in second place is Brazil, with a 76.51% match to the golden ratio, narrowly missing out on top spot by only 0.35%. Accumulating a score of 88.86%, the highest ranking Brazilian is Manchester United’s star winger, Antony, who scores an impressive 88.86% – 0.54% more than Serbia’s Babic. 

Rounding off the top three is South Koreawith a 76.19% match to the golden ratio.  Their most attractive player is J1 league center-back, Kyung-won Kwon, with an 85.81% match – 1.85% higher than Son Heung-Min.

The Netherlands rank in tenth place

With a 73.09% match (3.77% less than Serbia) is The Netherlands. Their most attractive player is Mark Flekken, with an 88.23% match to the golden ratio, 4.83% higher than fellow goalkeeper, Aaron Ramsdale.

Least attractive teams at the World Cup

RankCountryGolden Ratio Score in 2022Country’s most attractive player according to the golden ratioMost attractive player Golden Ratio Score in 2022
1Ghana65.09%Joseph Aidoo85.04%
2Switzerland65.77%Michel Aebischer83.27%
3Ecuador67.43%Anthony Valencia85.82%
4Mexico67.44%Andrés Guardado86.60%
5Morocco68.06%Hakim Ziyech89.24%
6Australia68.06%Milos Degenek89.87%
7Costa Rica68.23%Bryan Ruiz86.42%
8Cameroon68.24%Oumar Gonzalez80.57%
9Senegal68.31%Boulaye Dia88.40%
10France68.61%Alphonse Areola88.50%

The least attractive teams are only separated by 3.52%

Ranking as the least attractive team at the World Cup according to the golden ratio, is Ghana with a 65.09% match. This is despite their most attractive player, Joseph Aidoo, having an 85.04% match to the golden ratio, just 0.77% less than South Korea’s Kyung-won Kwon (85.81%).

In second is Switzerland (65.77%) who narrowly avoided the top spot by 0.68%. Similarly to Ghana, the Swiss team has a high ranking player despite the low overall score, with Michel Aebischer having an 83.27% match to the golden ratio.

Rounding off the bottom three is Ecuador, who have a 67.43% match to the golden ratio. The South American country is home to 19-year-old winger,Anthony Valencia who has a staggering 85.82% match to the golden ratio – just 0.19% higher than his Ecuadorian team mate Ángel Mena.

Please find the full dataset and graphic attached here.

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Best wishes, 

Euan Jones |

Methodology: conducted this research to identify the most attractive football teams in the world cup. The research draws from anthropometric facial analysis, using a computer vision algorithm to compute the golden ratio proximity of over 8000 players.
2. Images of players present in national team squads between 2002 till present were first scraped from transfermarkt. The inherent face variability from a multitude of confounding factors including varying expressions, illuminations and poses increase entropy within our model. The relative impact of such factors is controlled and mitigated through strict photo filtering criteria ensuring a standardised sample of images.
3.A facial landmarking algorithm was then deployed to identify prominent facial features on each player’s image. These features serve as anchor points from which to calculate the facial geometric ratio. The anthropometric ratios were subsequently used to approximate the geometric golden ratio of each image.
4. An aggregation of the dataset was then performed to compute for each team, the average golden ratio percentage in 2002, 2022 and the average between 2002-2022. The percentage change between 2002 and 2022 were also calculated and ranked in descending order.