Estadísticas de córners en el Amistosos Internacionales 2026
407
Partidos
2.87
Goles / Partido
45%
Tasa BTTS
49%
Victorias Local
Precisión de pronósticos esta temporada
44.51% · 142/319
| # | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | team.Finland | 4 | 100% | 100% | 75% | 75% | 50% | 50% | 25% | 11.75 |
| 2 | team.Georgia | 4 | 100% | 100% | 75% | 75% | 25% | 25% | 0% | 11.00 |
| 3 | team.Luxembourg | 2 | 100% | 100% | 100% | 100% | 50% | 50% | 50% | 13.50 |
| 4 | team.Romania | 3 | 100% | 100% | 100% | 100% | 67% | 33% | 33% | 15.00 |
| 5 | team.Slovenia | 4 | 100% | 100% | 100% | 75% | 75% | 50% | 25% | 13.00 |
| 6 | team.Germany | 4 | 100% | 100% | 100% | 75% | 75% | 50% | 0% | 12.00 |
| 7 | Ireland | 4 | 100% | 100% | 75% | 50% | 50% | 50% | 25% | 12.00 |
| 8 | team.Armenia | 3 | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 16.00 |
| 9 | team.Hungary | 4 | 100% | 75% | 75% | 50% | 0% | 0% | 0% | 10.00 |
| 10 | team.Israel | 2 | 100% | 100% | 50% | 50% | 50% | 50% | 0% | 11.00 |
| 11 | team.Slovakia | 3 | 100% | 100% | 100% | 100% | 100% | 33% | 33% | 13.33 |
| 12 | team.Denmark | 1 | 100% | 0% | 0% | 0% | 0% | 0% | 0% | 8.00 |
| 13 | team.Turkey | 2 | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 14.00 |
| 14 | team.Lithuania | 3 | 100% | 100% | 100% | 33% | 0% | 0% | 0% | 10.34 |
| 15 | team.Scotland | 4 | 100% | 100% | 75% | 50% | 25% | 0% | 0% | 10.50 |
| 16 | team.Kazakhstan | 3 | 100% | 67% | 67% | 67% | 33% | 33% | 33% | 11.67 |
| 17 | team.Bahrain | 1 | 100% | 100% | 0% | 0% | 0% | 0% | 0% | 9.00 |
| 18 | team.Bhutan | 2 | 100% | 100% | 100% | 50% | 50% | 50% | 0% | 11.50 |
| 19 | team.Cambodia | 2 | 100% | 100% | 100% | 100% | 100% | 100% | 0% | 13.00 |
| 20 | team.Russia | 8 | 88% | 88% | 75% | 63% | 38% | 13% | 0% | 10.63 |
| 21 | team.Andorra | 6 | 83% | 67% | 67% | 33% | 17% | 17% | 0% | 9.50 |
| 22 | team.Montenegro | 4 | 75% | 75% | 75% | 50% | 50% | 25% | 25% | 10.50 |
| 23 | team.Switzerland | 4 | 75% | 75% | 50% | 0% | 0% | 0% | 0% | 8.75 |
| 24 | team.Spain | 4 | 75% | 50% | 50% | 25% | 0% | 0% | 0% | 8.75 |
| 25 | team.England | 4 | 75% | 75% | 50% | 50% | 50% | 0% | 0% | 10.00 |
| 26 | team.Cyprus | 4 | 75% | 75% | 50% | 50% | 25% | 25% | 0% | 9.50 |
| 27 | team.Netherlands | 4 | 75% | 75% | 50% | 25% | 25% | 0% | 0% | 9.25 |
| 28 | team.Ivory Coast | 4 | 75% | 75% | 75% | 50% | 50% | 0% | 0% | 10.25 |
| 29 | team.India | 7 | 71% | 43% | 43% | 43% | 29% | 14% | 14% | 8.86 |
| 30 | team.Austria | 3 | 67% | 33% | 33% | 0% | 0% | 0% | 0% | 8.00 |
| 31 | team.FYR Macedonia | 3 | 67% | 67% | 33% | 33% | 33% | 33% | 33% | 8.67 |
| 32 | team.Liechtenstein | 6 | 67% | 17% | 17% | 17% | 0% | 0% | 0% | 7.83 |
| 33 | team.Albania | 3 | 67% | 67% | 33% | 33% | 33% | 33% | 33% | 10.33 |
| 34 | team.Wales | 3 | 67% | 67% | 33% | 33% | 33% | 33% | 33% | 12.66 |
| 35 | team.Malta | 3 | 67% | 67% | 67% | 67% | 67% | 67% | 33% | 12.00 |
| 36 | team.Jordan | 6 | 67% | 67% | 50% | 33% | 17% | 17% | 17% | 9.00 |
| 37 | team.Australia | 6 | 67% | 50% | 33% | 17% | 17% | 17% | 17% | 9.00 |
| 38 | team.China | 8 | 63% | 50% | 50% | 38% | 38% | 25% | 25% | 9.63 |
| 39 | team.South Korea | 8 | 63% | 38% | 38% | 13% | 13% | 0% | 0% | 8.25 |
| 40 | team.Japan | 5 | 60% | 40% | 40% | 40% | 20% | 0% | 0% | 8.60 |
| 41 | team.Sri Lanka | 5 | 60% | 60% | 40% | 0% | 0% | 0% | 0% | 9.67 |
| 42 | team.Maldives | 5 | 60% | 60% | 40% | 40% | 40% | 40% | 40% | 11.25 |
| 43 | team.Uruguay | 5 | 60% | 40% | 40% | 40% | 20% | 0% | 0% | 8.80 |
| 44 | team.Argentina | 7 | 57% | 43% | 43% | 14% | 14% | 14% | 0% | 8.29 |
| 45 | team.Belarus | 4 | 50% | 50% | 25% | 25% | 25% | 25% | 25% | 9.75 |
| 46 | team.Serbia | 4 | 50% | 25% | 25% | 25% | 0% | 0% | 0% | 8.00 |
| 47 | team.Portugal | 4 | 50% | 50% | 50% | 25% | 25% | 0% | 0% | 7.75 |
| 48 | team.Norway | 4 | 50% | 50% | 50% | 25% | 25% | 25% | 25% | 9.25 |
| 49 | team.Ukraine | 2 | 50% | 50% | 50% | 50% | 50% | 0% | 0% | 9.00 |
| 50 | team.Moldova | 4 | 50% | 50% | 50% | 25% | 25% | 25% | 25% | 9.50 |
| 51 | team.Poland | 2 | 50% | 50% | 50% | 50% | 50% | 0% | 0% | 9.50 |
| 52 | team.Greece | 4 | 50% | 50% | 25% | 25% | 0% | 0% | 0% | 7.50 |
| 53 | team.Italy | 2 | 50% | 50% | 50% | 50% | 0% | 0% | 0% | 8.00 |
| 54 | team.Belgium | 4 | 50% | 50% | 50% | 50% | 50% | 25% | 25% | 9.50 |
| 55 | team.Bulgaria | 4 | 50% | 50% | 50% | 50% | 0% | 0% | 0% | 8.00 |
| 56 | team.Kosovo | 2 | 50% | 50% | 50% | 50% | 0% | 0% | 0% | 9.00 |
| 57 | team.Estonia | 2 | 50% | 0% | 0% | 0% | 0% | 0% | 0% | 7.00 |
| 58 | team.France | 4 | 50% | 50% | 50% | 25% | 25% | 25% | 25% | 9.25 |
| 59 | team.Croatia | 4 | 50% | 50% | 50% | 25% | 25% | 0% | 0% | 8.25 |
| 60 | team.Bosnia-Herzegovina | 2 | 50% | 50% | 50% | 50% | 50% | 50% | 50% | 11.00 |
| 61 | team.Bangladesh | 2 | 50% | 50% | 50% | 50% | 0% | 0% | 0% | 9.00 |
| 62 | team.Qatar | 2 | 50% | 50% | 50% | 0% | 0% | 0% | 0% | 8.50 |
| 63 | team.Macau | 2 | 50% | 50% | 50% | 0% | 0% | 0% | 0% | 7.50 |
| 64 | team.Lebanon | 2 | 50% | 0% | 0% | 0% | 0% | 0% | 0% | 6.50 |
| 65 | team.Philippines | 2 | 50% | 50% | 0% | 0% | 0% | 0% | 0% | 8.00 |
| 66 | team.Vietnam | 2 | 50% | 50% | 50% | 50% | 0% | 0% | 0% | 11.00 |
| 67 | team.Thailand | 2 | 50% | 50% | 50% | 50% | 50% | 0% | 0% | 9.00 |
| 68 | team.Singapore | 2 | 50% | 50% | 50% | 50% | 50% | 50% | 50% | 10.50 |
| 69 | team.Hong Kong | 2 | 50% | 50% | 50% | 50% | 50% | 50% | 0% | 9.00 |
| 70 | team.Kyrgyzstan | 6 | 50% | 33% | 33% | 33% | 17% | 17% | 17% | 10.50 |
| 71 | team.Uzbekistan | 7 | 43% | 43% | 29% | 14% | 14% | 14% | 14% | 8.71 |
| 72 | team.Iceland | 5 | 40% | 40% | 20% | 0% | 0% | 0% | 0% | 6.00 |
| 73 | team.Azerbaijan | 5 | 40% | 40% | 40% | 20% | 20% | 20% | 0% | 9.00 |
| 74 | team.Northern Ireland | 3 | 33% | 33% | 33% | 0% | 0% | 0% | 0% | 7.66 |
| 75 | team.Syria | 3 | 33% | 33% | 33% | 33% | 0% | 0% | 0% | 7.67 |
| 76 | team.Pakistan | 3 | 33% | 33% | 0% | 0% | 0% | 0% | 0% | 5.66 |
| 77 | team.Iraq | 3 | 33% | 0% | 0% | 0% | 0% | 0% | 0% | 6.00 |
| 78 | team.Myanmar | 3 | 33% | 33% | 0% | 0% | 0% | 0% | 0% | 8.00 |
| 79 | team.Gibraltar | 4 | 25% | 25% | 25% | 25% | 25% | 25% | 25% | 9.50 |
| 80 | team.San Marino | 4 | 25% | 25% | 25% | 25% | 25% | 25% | 0% | 8.34 |
| 81 | team.Saudi Arabia | 5 | 20% | 20% | 20% | 20% | 0% | 0% | 0% | 6.20 |
| 82 | team.Tajikistan | 5 | 20% | 0% | 0% | 0% | 0% | 0% | 0% | 6.00 |
| 83 | team.Palestine | 5 | 20% | 20% | 20% | 20% | 0% | 0% | 0% | 7.67 |
| 84 | Ecuador | 5 | 20% | 20% | 20% | 20% | 20% | 0% | 0% | 6.40 |
| 85 | team.Iran | 6 | 17% | 17% | 17% | 0% | 0% | 0% | 0% | 5.75 |
| 86 | Puerto Rico | 3 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 7.00 |
| 87 | team.Czech Republic | 2 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 7.00 |
| 88 | team.Sweden | 2 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 6.00 |
| 89 | team.Faroe Islands | 1 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 5.00 |
| 90 | team.Afghanistan | 3 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 4.00 |
| 91 | team.Oman | 2 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 6.00 |
| 92 | team.Mongolia | 2 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 6.00 |
| 93 | team.Guam | 4 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 7.00 |
| 94 | team.Kuwait | 1 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 6.00 |
| 95 | team.Taiwan | 0 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0.00 |
| 96 | team.Malaysia | 0 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0.00 |
| 97 | team.Turkmenistan | 0 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0.00 |
| 98 | team.Yemen | 0 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0.00 |
| 99 | United Arab Emirates | 0 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0.00 |
| 100 | team.Nepal | 0 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0.00 |
Estadísticas de córners: Amistoso FIFA 2026
Para quienes disfrutan analizar datos en profundidad, conocer las estadísticas de córners en del Amistosos Internacionales marca una gran diferencia, especialmente para apostadores, analistas y aficionados al fútbol que buscan una lectura más completa de la competición.
Precisamente por eso, APWin se destaca como una fuente confiable. Aquí encontrarás datos actualizados y precisos, como:
Media de córners por partido
Equipos que más y menos generan córners
Clubes que más córners conceden a sus rivales
Estadísticas avanzadas de córners en el Amistosos Internacionales 2026
Amistoso Internacional: media general de córners en 2026
Los partidos de del Amistosos Internacionales 2026 presentan una media de 9.11 córners por encuentro.
En esta página puedes consultar todas las medias de córners del campeonato, con datos detallados por equipo y según el contexto del partido.
Equipos con mayor y menor media de córners
Estadísticas detalladas de córners por equipo
Además de las medias generales, APWin ofrece datos específicos que permiten entender mejor el comportamiento de los equipos en relación con los córners a lo largo del campeonato:
Más recursos sobre córners
En esta página también puedes:
Filtrar las estadísticas de córners de los equipos de del Amistosos Internacionales según partidos como local o visitante.
Analizar el comportamiento de los equipos en distintos contextos de juego.
Seguir las principales tendencias de córners del día, ideales para quienes buscan oportunidades en los mercados de córners.
Usa los datos para apostar con más criterio
Además de la información disponible aquí, en APWin también encontrarás pronósticos en los principales mercados de córners, como apuestas over córners y under córners en fútbol, siempre basados en datos y análisis.
Preguntas frecuentes
A continuación, respondemos algunas de las dudas más comunes sobre los córners en esta competición:
¿Cuál es la media de córners en del Amistosos Internacionales?
Actualmente, la media de córners del campeonato es de 9.11 córners por partido.
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