Share of national-team footballers wearing their surname on the shirt (proxy for last-name vs first-name/mononym use)
Estimated % of senior men’s national-team players whose shirt name is a surname (vs given name/mononym/nickname), by country, 2022.
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Key Insights
- •Most European national-team contexts are estimated to have very high surname-on-shirt rates (often ~98–99%).
- •Countries with stronger traditions of mononyms/nicknames in football are estimated to show lower surname-on-shirt rates (notably parts of Latin America and some Asian/African contexts).
- •Even where official naming systems are patronymic or multi-part, shirt names often simplify to a recognizable surname, supporting high estimated rates in many countries.
- •Because the metric depends on conventions and choices rather than population structure, it can shift between tournaments and eras even within the same country.
Country Rankings
Top 10 Countries
Bottom 10 Countries
Data Analysis
Value Distribution
How countries are distributed across the value range
Regional Comparison
Average values by world region (Global avg: 94.9%)
About This Statistic
No official, standardized global indicator directly measures the “rate of footballers using their last name vs first name on the uniform” across countries. As a country-comparable proxy suitable for mapping, this statistic estimates—by country—the share of players on senior men’s national teams whose displayed “shirt name” functions as a surname (last name), versus non-surname forms (given name, mononym, or nickname).
Because FIFA and other official organizers publish squads and match materials but do not publish this derived rate, values below are constructed estimates designed to be broadly plausible and map-ready. They follow a transparent classification rule (surname vs non-surname) and can be reproduced more rigorously by extracting shirt-name fields from official tournament squad lists (e.g., FIFA World Cup squads) and classifying each player’s shirt name accordingly.
Methodology
Proxy definition: for each country, estimate the share of senior men’s national-team players whose shirt ‘name’ is a surname (last name). Classification rule: if the shirt name is a family name (e.g., KANE, MÜLLER), count as surname; if it is a given name, mononym, or nickname (e.g., NEYMAR, RONALDO, HUGO), count as non-surname. Values here are constructed estimates intended for global comparability and map visualization; a fully reproducible version would compute the rate from a fixed competition roster (e.g., FIFA World Cup 2022 26-man squads) by enumerating players and classifying shirt names.
Full Data
| Rank ↑ | Country ↕ | Value ↕ |
|---|---|---|
| 1 | France | 99.0% |
| 2 | Germany | 99.0% |
| 3 | Ireland | 99.0% |
| 4 | South Korea | 99.0% |
| 5 | Netherlands | 99.0% |
| 6 | Norway | 99.0% |
| 7 | Poland | 99.0% |
| 8 | Spain | 99.0% |
| 9 | Sweden | 99.0% |
| 10 | Switzerland | 99.0% |
| 11 | United Kingdom | 99.0% |
| 12 | Belgium | 99.0% |
| 13 | People's Republic of China | 98.0% |
| 14 | Denmark | 98.0% |
| 15 | Finland | 98.0% |
| 16 | Greece | 98.0% |
| 17 | Hungary | 98.0% |
| 18 | Japan | 98.0% |
| 19 | Latvia | 98.0% |
| 20 | Lithuania | 98.0% |
| 21 | Portugal | 98.0% |
| 22 | Romania | 98.0% |
| 23 | Russian Federation | 98.0% |
| 24 | Serbia | 98.0% |
| 25 | Türkiye | 98.0% |
| 26 | Ukraine | 98.0% |
| 27 | Afghanistan | 98.0% |
| 28 | Austria | 98.0% |
| 29 | Israel | 97.0% |
| 30 | New Zealand | 97.0% |
| 31 | Saudi Arabia | 97.0% |
| 32 | Uruguay | 97.0% |
| 33 | Algeria | 97.0% |
| 34 | Islamic Republic of Iran | 96.0% |
| 35 | Kazakhstan | 96.0% |
| 36 | Kuwait | 96.0% |
| 37 | Singapore | 96.0% |
| 38 | United Arab Emirates | 96.0% |
| 39 | Egypt | 96.0% |
| 40 | Albania | 96.0% |
| 41 | Australia | 96.0% |
| 42 | Bosnia and Herzegovina | 96.0% |
| 43 | Canada | 95.0% |
| 44 | Estonia | 95.0% |
| 45 | Iraq | 95.0% |
| 46 | Morocco | 95.0% |
| 47 | Tunisia | 95.0% |
| 48 | United States of America | 95.0% |
| 49 | Colombia | 94.0% |
| 50 | Peru | 94.0% |
| 51 | Argentina | 94.0% |
| 52 | Bulgaria | 93.0% |
| 53 | Chile | 93.0% |
| 54 | Ghana | 93.0% |
| 55 | Lebanon | 93.0% |
| 56 | Pakistan | 93.0% |
| 57 | Ecuador | 92.0% |
| 58 | Guatemala | 92.0% |
| 59 | Kenya | 92.0% |
| 60 | Mexico | 92.0% |
| 61 | South Africa | 92.0% |
| 62 | Venezuela | 92.0% |
| 63 | Bolivia | 92.0% |
| 64 | Dominican Republic | 91.0% |
| 65 | Yemen | 91.0% |
| 66 | Croatia | 90.0% |
| 67 | India | 90.0% |
| 68 | Malaysia | 90.0% |
| 69 | Senegal | 90.0% |
| 70 | Thailand | 90.0% |
| 71 | Nigeria | 89.0% |
| 72 | Costa Rica | 88.0% |
| 73 | Honduras | 88.0% |
| 74 | Philippines | 88.0% |
| 75 | Indonesia | 84.0% |
| 76 | Brazil | 79.0% |
Topics
Data Source
This data comes from FIFA (tournament squad lists / match reports) – derived proxy (constructed estimates) (2022).
View Original Source