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Internationell Albanien Algeria Argentina Armenien Australien Azerbaijan Bahrain Bolivia Bosnia & Herzegovina Brasilien Bulgaria Chile Colombia Costa Rica Cypern Danmark Ecuador Egypten El Salvador Estland Färöarna Finland Georgien Grekland Guatemala Honduras Hong Kong Indien Indonesia Irak Iran Island Israel Jamaica Japan Jordan Kanada Kazakstan Kenya Kina Kroatien Kuwait Lettland Litauen Luxembourg Malaysia Malta Mexiko Moldova Montenegro Morocco New Zealand Nicaragua Norge North Ireland North Macedonia Österrike Paraguay Peru Polen Qatar Republic of Ireland Rumänien San Marino Saudi Arabia Schweiz Serbien Singapore Slovakien Slovenien Sverige Sydafrika Sydkorea Syria Taiwan Tajikistan Tanzania Thailand Tjeckien Tunisien Turkiet Turkmenistan USA Uganda Ukraina Ungern United Arab Emirates Uruguay Uzbekistan Venezuela Vietnam Vitryssland Wales

  Internationella Vänskapsmatcher 2009

Torsdag 31. december 2009
   
Internationella Vänskapsmatcher2009 Odds 1x2
Singapore    1 - 4    Oman2.803.202.30
   
Onsdag 30. december 2009
   
Angola    0 - 1    Estland1.623.474.85
Kina    2 - 2    Jordan1.523.655.90
Iran    1 - 2    Mali3.003.202.20
Malaysia    4 - 1    Syria6.003.751.50
Qatar    0 - 1    North Korea
   
Måndag 28. december 2009
   
Qatar    3 - 2    Iran2.403.202.60
Singapore    0 - 0    Oman4.333.401.70
   
Söndag 27. december 2009
   
North Korea    1 - 0    Mali2.363.042.88
   
Torsdag 17. december 2009
   
Singapore    3 - 1    Laos
Vietnam    0 - 1    Malaysia
   
Onsdag 16. december 2009
   
Kuwait    0 - 0    U.A.E.
   
Fredag 11. december 2009
   
Bangladesh    0 - 1    Indien
Cambodia    1 - 6    Vietnam
Malaysia    2 - 1    Thailand
Maldives    5 - 1    Sri Lanka
   
Torsdag 10. december 2009
   
Japan    2 - 1 AET Sydkorea
Laos    0 - 0    Singapore
Myanmar    3 - 1    Indonesia
Rwanda    2 - 1    Tanzania2.603.202.40
   
Onsdag 9. december 2009
   
Afghanistan    0 - 3    Nepal
Maldives    2 - 0    Indien
Uganda    2 - 1    Zanzibar
   
Tisdag 8. december 2009
   
Bangladesh    2 - 1    Sri Lanka3.043.712.06
Cambodia    0 - 4    Malaysia
Hong Kong    0 - 1    Kina
Pakistan    7 - 0    Bhutan
Rwanda    4 - 1    Zimbabwe2.403.202.60
Tanzania    4 - 0    Eritrea1.354.357.00
   
Måndag 7. december 2009
   
Afghanistan    1 - 3    Maldives
Indien    1 - 0    Nepal
Indonesia    0 - 2    Laos
Kenya    0 - 1    Uganda
Macau    0 - 5    Japan
Myanmar    1 - 2    Singapore
Zambia    0 - 0    Zanzibar
   
Söndag 6. december 2009
   
Bangladesh    0 - 0    Pakistan
Sydkorea    3 - 0    Kina
Sri Lanka    6 - 0    Bhutan
Vietnam    3 - 1    Malaysia
   
Lördag 5. december 2009
   
Eritrea    1 - 2    Somalia1.803.453.95
Indien    1 - 0    Afghanistan
Laos    1 - 1    Myanmar
Maldives    1 - 1    Nepal1.205.5012.00
Singapore    2 - 2    Indonesia
Zimbabwe    2 - 2    Rwanda2.703.202.40
   
Fredag 4. december 2009
   
Bangladesh    4 - 1    Bhutan1.304.509.20
Burundi    0 - 1    Tanzania7.304.501.35
Kenya    2 - 0    Ethiopia2.003.233.38
Sri Lanka    1 - 0    Pakistan1.603.405.50

Flera resultat


december 2009
november 2009
oktober 2009
september 2009
augusti 2009
juli 2009
juni 2009
maj 2009
april 2009
mars 2009
februari 2009
januari 2009

Afghanistan
Albanien
Algeria
Andorra
Angola
Argentina
Armenien
Australien
Azerbaijan
Bahrain
Bangladesh
Belgien
Benin
Bhutan
Bolivia
Bosnia & Herzegovi
Botswana
Brasilien
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Cape Verde
Chile
Colombia
Comoros
Congo DR
Costa Rica
Cypern
Danmark
Djibouti
Ecuador
Egypten
El Salvador
England
Equatorial Guinea
Eritrea
Estland
Eswatini
Ethiopia
Färöarna
Finland
Frankrike
Gabon
Georgien
Ghana
Grekland
Guatemala
Guinea
Haiti
Honduras
Hong Kong
Indien
Indonesia
Irak
Iran
Irland
Island
Israel
Italien
Ivory Coast
Jamaica
Japan
Jordan
Kanada
Kazakstan
Kenya
Kina
Kroatien
Kuwait
Kyrgyzstan
Laos
Lebanon
Lesotho
Lettland
Libya
Liechtenstein
Litauen
Luxembourg
Macau
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritius
Mexiko
Moldova
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nederländerna
Nepal
New Zealand
Nigeria
Norge
North Korea
North Macedonia
Northern Ireland
Oman
Österrike
Pakistan
Palestine
Panama
Paraguay
Peru
Philippines
Polen
Portugal
Qatar
Republic of Congo
Republic of the Co
Rumänien
Rwanda
Ryssland
Saint Kitts and Ne
Saudi Arabia
Schweiz
Senegal
Serbien
Seychelles
Sierra Leone
Singapore
Skottland
Slovakien
Slovenien
Somalia
Spanien
Sri Lanka
Sudan
Sverige
Sydafrika
Sydkorea
Syria
Tanzania
Thailand
Tjeckien
Togo
Trinidad and Tobag
Tunisien
Turkiet
Turkmenistan
Tyskland
U.A.E.
USA
Uganda
Ukraina
Ungern
Uruguay
Uzbekistan
Venezuela
Vietnam
Vitryssland
Wales
Yemen
Zambia
Zanzibar
Zimbabwe


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-
Säsong Matcher 1 x 2  ¦  1 2  ¦  Över 2.5 Under 2.5 Över 1.5 Under 1.5 Hemfördel
2025Grundserien41 51.2% 22.0% 26.8%  ¦  65.6% 34.4%  ¦  46.3% 53.7% 80.5% 19.5% 31.3%
2024Grundserien325 48.0% 24.3% 27.7%  ¦  63.2% 36.8%  ¦  48.9% 51.1% 73.5% 26.5% 26.4%
2023Grundserien320 48.4% 28.1% 23.4%  ¦  67.1% 32.9%  ¦  42.8% 57.2% 70.6% 29.4% 34.2%
2022Grundserien388 53.4% 24.0% 22.7%  ¦  70.2% 29.8%  ¦  46.4% 53.6% 68.0% 32.0% 40.5%
2021Grundserien247 51.4% 23.9% 24.7%  ¦  67.2% 32.8%  ¦  47.8% 52.2% 68.0% 32.0% 34.4%
2020Grundserien134 49.3% 24.6% 26.1%  ¦  65.3% 34.7%  ¦  50.0% 50.0% 67.9% 32.1% 30.7%
2019Grundserien260 47.3% 27.7% 25.0%  ¦  65.6% 34.4%  ¦  40.0% 60.0% 62.3% 37.7% 31.2%
2018Grundserien428 44.6% 27.1% 28.3%  ¦  61.1% 38.9%  ¦  41.6% 58.4% 66.6% 33.4% 22.2%
2017Grundserien328 47.3% 26.5% 26.2%  ¦  64.6% 35.4%  ¦  49.1% 50.9% 74.7% 25.3% 29.2%
2016Grundserien332 48.8% 27.7% 23.5%  ¦  67.9% 32.1%  ¦  43.7% 56.3% 68.4% 31.6% 35.8%
2015Grundserien333 49.5% 24.9% 25.5%  ¦  66.1% 33.9%  ¦  44.1% 55.9% 70.0% 30.0% 32.3%
2014Grundserien405 49.6% 27.2% 23.2%  ¦  67.8% 32.2%  ¦  44.2% 55.8% 71.1% 28.9% 35.6%
2013Grundserien361 46.3% 26.9% 26.9%  ¦  63.0% 37.0%  ¦  47.9% 52.1% 72.6% 27.4% 26.0%
2012Grundserien428 46.5% 24.5% 29.0%  ¦  61.5% 38.5%  ¦  47.9% 52.1% 70.8% 29.2% 23.0%
2011Grundserien456 45.2% 29.2% 25.7%  ¦  63.1% 36.9%  ¦  40.4% 59.6% 69.1% 30.9% 26.3%
2010Grundserien423 48.5% 23.2% 28.4%  ¦  62.9% 37.1%  ¦  47.3% 52.7% 71.9% 28.1% 25.8%
2009Grundserien383 50.4% 24.3% 25.3%  ¦  66.7% 33.3%  ¦  45.2% 54.8% 68.1% 31.9% 33.3%
2008Grundserien395 50.1% 26.1% 23.8%  ¦  67.8% 32.2%  ¦  46.8% 53.2% 69.6% 30.4% 35.6%
2007Grundserien321 46.1% 27.1% 26.8%  ¦  63.3% 36.7%  ¦  43.6% 56.4% 71.7% 28.3% 26.7%
2006Grundserien314 46.8% 24.8% 28.3%  ¦  62.1% 37.9%  ¦  43.6% 56.4% 69.4% 30.6% 24.2%
2005Grundserien196 47.4% 27.0% 25.5%  ¦  64.1% 35.9%  ¦  55.1% 44.9% 76.0% 24.0% 28.3%
2004Grundserien206 46.6% 24.8% 28.6%  ¦  62.2% 37.8%  ¦  50.5% 49.5% 74.3% 25.7% 24.4%
2003Grundserien192 47.4% 22.9% 29.7%  ¦  61.5% 38.5%  ¦  47.4% 52.6% 67.2% 32.8% 23.0%
2002Grundserien211 42.2% 29.4% 28.4%  ¦  59.3% 40.7%  ¦  41.2% 58.8% 69.7% 30.3% 18.7%
2001Grundserien231 48.9% 26.8% 24.2%  ¦  67.3% 32.7%  ¦  47.6% 52.4% 74.0% 26.0% 34.5%
2000Grundserien484 53.7% 25.2% 21.1%  ¦  71.6% 28.4%  ¦  46.3% 53.7% 70.7% 29.3% 43.3%
1999Grundserien344 47.7% 29.9% 22.4%  ¦  68.3% 31.7%  ¦  47.4% 52.6% 70.3% 29.7% 36.6%
1998Grundserien360 51.4% 26.4% 22.2%  ¦  69.9% 30.1%  ¦  54.2% 45.8% 75.3% 24.7% 39.8%
1997Grundserien243 52.3% 26.3% 21.4%  ¦  71.1% 28.9%  ¦  45.3% 54.7% 69.5% 30.5% 42.2%
1996Grundserien370 50.5% 26.8% 22.7%  ¦  69.1% 30.9%  ¦  45.4% 54.6% 72.4% 27.6% 38.2%
1995Grundserien291 48.8% 25.1% 26.1%  ¦  65.5% 34.5%  ¦  55.3% 44.7% 74.6% 25.4% 30.9%
1994Grundserien287 49.1% 28.6% 22.3%  ¦  68.8% 31.2%  ¦  42.2% 57.8% 69.0% 31.0% 37.6%
1993Grundserien197 50.3% 24.9% 24.9%  ¦  67.1% 32.9%  ¦  48.2% 51.8% 76.6% 23.4% 34.2%
1992Grundserien224 50.9% 29.5% 19.6%  ¦  72.2% 27.8%  ¦  40.6% 59.4% 67.0% 33.0% 44.3%
1991Grundserien168 35.7% 38.1% 26.2%  ¦  57.7% 42.3%  ¦  39.9% 60.1% 70.2% 29.8% 15.4%
1990Grundserien210 44.3% 25.7% 30.0%  ¦  59.6% 40.4%  ¦  47.6% 52.4% 66.7% 33.3% 19.2%
1989Grundserien154 44.2% 29.2% 26.6%  ¦  62.4% 37.6%  ¦  40.3% 59.7% 65.6% 34.4% 24.8%
1988Grundserien265 40.4% 29.8% 29.8%  ¦  57.5% 42.5%  ¦  39.6% 60.4% 64.9% 35.1% 15.1%
1987Grundserien151 50.3% 28.5% 21.2%  ¦  70.4% 29.6%  ¦  42.4% 57.6% 68.9% 31.1% 40.7%
1986Grundserien167 41.3% 28.1% 30.5%  ¦  57.5% 42.5%  ¦  40.7% 59.3% 64.1% 35.9% 15.0%
1985Grundserien208 52.4% 25.0% 22.6%  ¦  69.9% 30.1%  ¦  45.2% 54.8% 67.3% 32.7% 39.7%
1984Grundserien223 45.7% 26.9% 27.4%  ¦  62.6% 37.4%  ¦  35.4% 64.6% 62.8% 37.2% 25.2%
1983Grundserien187 42.2% 31.6% 26.2%  ¦  61.7% 38.3%  ¦  40.6% 59.4% 69.0% 31.0% 23.4%
1982Grundserien145 44.8% 29.0% 26.2%  ¦  63.1% 36.9%  ¦  44.8% 55.2% 69.0% 31.0% 26.2%
1981Grundserien163 44.2% 23.3% 32.5%  ¦  57.6% 42.4%  ¦  52.1% 47.9% 76.7% 23.3% 15.2%
1980Grundserien179 44.7% 29.1% 26.3%  ¦  63.0% 37.0%  ¦  48.0% 52.0% 77.7% 22.3% 26.0%
1979Grundserien106 54.7% 17.0% 28.3%  ¦  65.9% 34.1%  ¦  50.9% 49.1% 70.8% 29.2% 31.8%
1978Grundserien130 47.7% 23.1% 29.2%  ¦  62.0% 38.0%  ¦  44.6% 55.4% 65.4% 34.6% 24.0%
1977Grundserien141 44.0% 29.1% 27.0%  ¦  62.0% 38.0%  ¦  43.3% 56.7% 70.2% 29.8% 24.0%
1976Grundserien141 42.6% 24.1% 33.3%  ¦  56.1% 43.9%  ¦  52.5% 47.5% 72.3% 27.7% 12.1%
1975Grundserien68 44.1% 25.0% 30.9%  ¦  58.8% 41.2%  ¦  48.5% 51.5% 75.0% 25.0% 17.6%
1974Grundserien122 44.3% 24.6% 31.1%  ¦  58.7% 41.3%  ¦  40.2% 59.8% 61.5% 38.5% 17.4%
1973Grundserien82 47.6% 19.5% 32.9%  ¦  59.1% 40.9%  ¦  36.6% 63.4% 67.1% 32.9% 18.2%
1972Grundserien180 47.8% 25.0% 27.2%  ¦  63.7% 36.3%  ¦  52.2% 47.8% 76.1% 23.9% 27.4%
1971Grundserien128 46.1% 25.8% 28.1%  ¦  62.1% 37.9%  ¦  50.0% 50.0% 70.3% 29.7% 24.2%
1970Grundserien122 43.4% 27.9% 28.7%  ¦  60.2% 39.8%  ¦  45.9% 54.1% 74.6% 25.4% 20.5%
1969Grundserien122 50.8% 25.4% 23.8%  ¦  68.1% 31.9%  ¦  57.4% 42.6% 77.0% 23.0% 36.3%
1968Grundserien116 38.8% 34.5% 26.7%  ¦  59.2% 40.8%  ¦  56.9% 43.1% 81.0% 19.0% 18.4%
1967Grundserien101 39.6% 22.8% 37.6%  ¦  51.3% 48.7%  ¦  55.4% 44.6% 76.2% 23.8% 2.6%
1966Grundserien113 47.8% 19.5% 32.7%  ¦  59.3% 40.7%  ¦  54.0% 46.0% 76.1% 23.9% 18.7%
1965Grundserien72 31.9% 34.7% 33.3%  ¦  48.9% 51.1%  ¦  51.4% 48.6% 66.7% 33.3% -2.1%
1964Grundserien85 48.2% 21.2% 30.6%  ¦  61.2% 38.8%  ¦  58.8% 41.2% 76.5% 23.5% 22.4%
1963Grundserien88 44.3% 23.9% 31.8%  ¦  58.2% 41.8%  ¦  60.2% 39.8% 78.4% 21.6% 16.4%
1962Grundserien96 57.3% 12.5% 30.2%  ¦  65.5% 34.5%  ¦  74.0% 26.0% 90.6% 9.4% 31.0%
1961Grundserien78 44.9% 17.9% 37.2%  ¦  54.7% 45.3%  ¦  60.3% 39.7% 84.6% 15.4% 9.4%
1960Grundserien96 61.5% 9.4% 29.2%  ¦  67.8% 32.2%  ¦  81.3% 18.8% 91.7% 8.3% 35.6%
1959Grundserien64 54.7% 18.8% 26.6%  ¦  67.3% 32.7%  ¦  71.9% 28.1% 85.9% 14.1% 34.6%
1958Grundserien89 46.1% 28.1% 25.8%  ¦  64.1% 35.9%  ¦  65.2% 34.8% 88.8% 11.2% 28.1%
1957Grundserien67 35.8% 26.9% 37.3%  ¦  49.0% 51.0%  ¦  56.7% 43.3% 76.1% 23.9% -2.0%
1956Grundserien90 41.1% 22.2% 36.7%  ¦  52.9% 47.1%  ¦  62.2% 37.8% 84.4% 15.6% 5.7%
1955Grundserien90 42.2% 18.9% 38.9%  ¦  52.1% 47.9%  ¦  75.6% 24.4% 91.1% 8.9% 4.1%
1954Grundserien72 47.2% 19.4% 33.3%  ¦  58.6% 41.4%  ¦  70.8% 29.2% 87.5% 12.5% 17.2%
1953Grundserien62 35.5% 22.6% 41.9%  ¦  45.8% 54.2%  ¦  77.4% 22.6% 85.5% 14.5% -8.3%
1952Grundserien68 48.5% 17.6% 33.8%  ¦  58.9% 41.1%  ¦  75.0% 25.0% 88.2% 11.8% 17.9%
1951Grundserien64 46.9% 21.9% 31.3%  ¦  60.0% 40.0%  ¦  73.4% 26.6% 87.5% 12.5% 20.0%
1950Grundserien81 53.1% 17.3% 29.6%  ¦  64.2% 35.8%  ¦  81.5% 18.5% 88.9% 11.1% 28.4%
1949Grundserien64 45.3% 15.6% 39.1%  ¦  53.7% 46.3%  ¦  71.9% 28.1% 90.6% 9.4% 7.4%
1948Grundserien65 47.7% 21.5% 30.8%  ¦  60.8% 39.2%  ¦  56.9% 43.1% 76.9% 23.1% 21.6%
1947Grundserien76 47.4% 11.8% 40.8%  ¦  53.7% 46.3%  ¦  88.2% 11.8% 94.7% 5.3% 7.5%
1946Grundserien60 68.3% 10.0% 21.7%  ¦  75.9% 24.1%  ¦  81.7% 18.3% 90.0% 10.0% 51.9%
1945Grundserien29 72.4% 10.3% 17.2%  ¦  80.8% 19.2%  ¦  89.7% 10.3% 93.1% 6.9% 61.5%
1944Grundserien4 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1943Grundserien15 26.7% 20.0% 53.3%  ¦  33.3% 66.7%  ¦  73.3% 26.7% 80.0% 20.0% -33.3%
1942Grundserien29 48.3% 13.8% 37.9%  ¦  56.0% 44.0%  ¦  79.3% 20.7% 96.6% 3.4% 12.0%
1941Grundserien22 50.0% 31.8% 18.2%  ¦  73.3% 26.7%  ¦  77.3% 22.7% 100.0% 0.0% 46.7%
1940Grundserien45 53.3% 26.7% 20.0%  ¦  72.7% 27.3%  ¦  73.3% 26.7% 93.3% 6.7% 45.5%
1939Grundserien66 50.0% 16.7% 33.3%  ¦  60.0% 40.0%  ¦  80.3% 19.7% 92.4% 7.6% 20.0%
1938Grundserien61 49.2% 19.7% 31.1%  ¦  61.2% 38.8%  ¦  68.9% 31.1% 86.9% 13.1% 22.4%
1937Grundserien63 49.2% 19.0% 31.7%  ¦  60.8% 39.2%  ¦  76.2% 23.8% 90.5% 9.5% 21.6%
1936Grundserien66 42.4% 18.2% 39.4%  ¦  51.9% 48.1%  ¦  77.3% 22.7% 93.9% 6.1% 3.7%
1935Grundserien78 53.8% 20.5% 25.6%  ¦  67.7% 32.3%  ¦  73.1% 26.9% 91.0% 9.0% 35.5%
1934Grundserien50 56.0% 16.0% 28.0%  ¦  66.7% 33.3%  ¦  84.0% 16.0% 92.0% 8.0% 33.3%
1933Grundserien67 49.3% 20.9% 29.9%  ¦  62.3% 37.7%  ¦  68.7% 31.3% 88.1% 11.9% 24.5%
1932Grundserien69 52.2% 5.8% 42.0%  ¦  55.4% 44.6%  ¦  79.7% 20.3% 89.9% 10.1% 10.8%
1931Grundserien72 61.1% 12.5% 26.4%  ¦  69.8% 30.2%  ¦  76.4% 23.6% 90.3% 9.7% 39.7%
1930Grundserien71 52.1% 23.9% 23.9%  ¦  68.5% 31.5%  ¦  76.1% 23.9% 91.5% 8.5% 37.0%
1929Grundserien57 59.6% 17.5% 22.8%  ¦  72.3% 27.7%  ¦  82.5% 17.5% 94.7% 5.3% 44.7%
1928Grundserien57 40.4% 26.3% 33.3%  ¦  54.8% 45.2%  ¦  70.2% 29.8% 91.2% 8.8% 9.5%
1927Grundserien67 47.8% 19.4% 32.8%  ¦  59.3% 40.7%  ¦  77.6% 22.4% 89.6% 10.4% 18.5%
1926Grundserien69 52.2% 13.0% 34.8%  ¦  60.0% 40.0%  ¦  85.5% 14.5% 95.7% 4.3% 20.0%
1925Grundserien74 40.5% 18.9% 40.5%  ¦  50.0% 50.0%  ¦  56.8% 43.2% 74.3% 25.7% 0.0%
1924Grundserien74 50.0% 16.2% 33.8%  ¦  59.7% 40.3%  ¦  62.2% 37.8% 85.1% 14.9% 19.4%
1923Grundserien77 45.5% 26.0% 28.6%  ¦  61.4% 38.6%  ¦  68.8% 31.2% 88.3% 11.7% 22.8%
1922Grundserien50 38.0% 32.0% 30.0%  ¦  55.9% 44.1%  ¦  64.0% 36.0% 84.0% 16.0% 11.8%
1921Grundserien42 38.1% 33.3% 28.6%  ¦  57.1% 42.9%  ¦  69.0% 31.0% 90.5% 9.5% 14.3%
1920Grundserien31 58.1% 19.4% 22.6%  ¦  72.0% 28.0%  ¦  58.1% 41.9% 83.9% 16.1% 44.0%
1919Grundserien26 57.7% 19.2% 23.1%  ¦  71.4% 28.6%  ¦  84.6% 15.4% 96.2% 3.8% 42.9%
1918Grundserien17 64.7% 17.6% 17.6%  ¦  78.6% 21.4%  ¦  58.8% 41.2% 94.1% 5.9% 57.1%
1917Grundserien18 38.9% 22.2% 38.9%  ¦  50.0% 50.0%  ¦  55.6% 44.4% 83.3% 16.7% 0.0%
1916Grundserien20 55.0% 15.0% 30.0%  ¦  64.7% 35.3%  ¦  65.0% 35.0% 80.0% 20.0% 29.4%
1915Grundserien13 61.5% 7.7% 30.8%  ¦  66.7% 33.3%  ¦  69.2% 30.8% 100.0% 0.0% 33.3%
1914Grundserien34 41.2% 29.4% 29.4%  ¦  58.3% 41.7%  ¦  64.7% 35.3% 85.3% 14.7% 16.7%
1913Grundserien38 55.3% 13.2% 31.6%  ¦  63.6% 36.4%  ¦  60.5% 39.5% 81.6% 18.4% 27.3%
1912Grundserien35 34.3% 20.0% 45.7%  ¦  42.9% 57.1%  ¦  80.0% 20.0% 94.3% 5.7% -14.3%
1911Grundserien38 47.4% 13.2% 39.5%  ¦  54.5% 45.5%  ¦  76.3% 23.7% 94.7% 5.3% 9.1%
1910Grundserien27 59.3% 11.1% 29.6%  ¦  66.7% 33.3%  ¦  77.8% 22.2% 88.9% 11.1% 33.3%
1909Grundserien26 50.0% 15.4% 34.6%  ¦  59.1% 40.9%  ¦  84.6% 15.4% 96.2% 3.8% 18.2%
1908Grundserien29 44.8% 6.9% 48.3%  ¦  48.1% 51.9%  ¦  89.7% 10.3% 93.1% 6.9% -3.7%
1907Grundserien17 52.9% 11.8% 35.3%  ¦  60.0% 40.0%  ¦  76.5% 23.5% 88.2% 11.8% 20.0%
1906Grundserien16 25.0% 18.8% 56.3%  ¦  30.8% 69.2%  ¦  62.5% 37.5% 81.3% 18.8% -38.5%
1905Grundserien12 58.3% 33.3% 8.3%  ¦  87.5% 12.5%  ¦  58.3% 41.7% 66.7% 33.3% 75.0%
1904Grundserien9 22.2% 44.4% 33.3%  ¦  40.0% 60.0%  ¦  55.6% 44.4% 77.8% 22.2% -20.0%
1903Grundserien10 60.0% 0.0% 40.0%  ¦  60.0% 40.0%  ¦  70.0% 30.0% 90.0% 10.0% 20.0%
1902Grundserien9 22.2% 33.3% 44.4%  ¦  33.3% 66.7%  ¦  66.7% 33.3% 77.8% 22.2% -33.3%
1901Grundserien7 42.9% 28.6% 28.6%  ¦  60.0% 40.0%  ¦  71.4% 28.6% 85.7% 14.3% 20.0%
1900Grundserien6 50.0% 16.7% 33.3%  ¦  60.0% 40.0%  ¦  50.0% 50.0% 100.0% 0.0% 20.0%
1899Grundserien6 83.3% 0.0% 16.7%  ¦  83.3% 16.7%  ¦  83.3% 16.7% 83.3% 16.7% 66.7%
1898Grundserien6 16.7% 0.0% 83.3%  ¦  16.7% 83.3%  ¦  83.3% 16.7% 83.3% 16.7% -66.7%
1897Grundserien6 66.7% 16.7% 16.7%  ¦  80.0% 20.0%  ¦  100.0% 0.0% 100.0% 0.0% 60.0%
1896Grundserien6 50.0% 16.7% 33.3%  ¦  60.0% 40.0%  ¦  83.3% 16.7% 100.0% 0.0% 20.0%
1895Grundserien6 50.0% 50.0% 0.0%  ¦  100.0% 0.0%  ¦  83.3% 16.7% 100.0% 0.0% 100.0%
1894Grundserien6 33.3% 33.3% 33.3%  ¦  50.0% 50.0%  ¦  100.0% 0.0% 100.0% 0.0% 0.0%
1893Grundserien6 83.3% 0.0% 16.7%  ¦  83.3% 16.7%  ¦  100.0% 0.0% 100.0% 0.0% 66.7%
1892Grundserien6 16.7% 16.7% 66.7%  ¦  20.0% 80.0%  ¦  50.0% 50.0% 100.0% 0.0% -60.0%
1891Grundserien6 83.3% 0.0% 16.7%  ¦  83.3% 16.7%  ¦  100.0% 0.0% 100.0% 0.0% 66.7%
1890Grundserien6 33.3% 16.7% 50.0%  ¦  40.0% 60.0%  ¦  83.3% 16.7% 100.0% 0.0% -20.0%
1889Grundserien6 50.0% 16.7% 33.3%  ¦  60.0% 40.0%  ¦  83.3% 16.7% 83.3% 16.7% 20.0%
1888Grundserien6 33.3% 0.0% 66.7%  ¦  33.3% 66.7%  ¦  100.0% 0.0% 100.0% 0.0% -33.3%
1887Grundserien6 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  83.3% 16.7% 100.0% 0.0% 33.3%
1886Grundserien7 42.9% 14.3% 42.9%  ¦  50.0% 50.0%  ¦  85.7% 14.3% 100.0% 0.0% 0.0%
1885Grundserien7 28.6% 28.6% 42.9%  ¦  40.0% 60.0%  ¦  57.1% 42.9% 85.7% 14.3% -20.0%
1884Grundserien6 50.0% 0.0% 50.0%  ¦  50.0% 50.0%  ¦  83.3% 16.7% 83.3% 16.7% 0.0%
1883Grundserien5 40.0% 20.0% 40.0%  ¦  50.0% 50.0%  ¦  80.0% 20.0% 100.0% 0.0% 0.0%
1882Grundserien5 80.0% 0.0% 20.0%  ¦  80.0% 20.0%  ¦  100.0% 0.0% 100.0% 0.0% 60.0%
1881Grundserien3 0.0% 0.0% 100.0%  ¦  0.0% 100.0%  ¦  66.7% 33.3% 66.7% 33.3% -100.0%
1880Grundserien3 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  100.0% 0.0% 100.0% 0.0% 33.3%
1879Grundserien3 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  100.0% 0.0% 100.0% 0.0% 33.3%
1878Grundserien2 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1877Grundserien2 0.0% 0.0% 100.0%  ¦  0.0% 100.0%  ¦  50.0% 50.0% 100.0% 0.0% -100.0%
1876Grundserien2 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1875Grundserien1 0.0% 100.0% 0.0%  ¦   ¦  100.0% 0.0% 100.0% 0.0%
1874Grundserien1 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1873Grundserien1 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1872Grundserien1 0.0% 100.0% 0.0%  ¦   ¦  0.0% 100.0% 0.0% 100.0%

Klicka rubrikrad för att sortera tabell enligt kolumnen
Låt muspekaren vila över procent (%) för att se värde odds

AnnaBet Power Ratings

Updated 2025-04-02 12:15:46
#Lag Rating
1. Spanien 1631
2. Argentina 1580
3. Morocco 1545
4. Colombia 1496
5. Frankrike 1495
6. Brasilien 1478
7. Iran 1450
8. Tyskland 1447
9. Uruguay 1439
10. Nederländerna 1432
11. Japan 1431
12. England 1424
13. Portugal 1421
14. Ecuador 1406
15. Kroatien 1386
16. Mexiko 1368
17. Panama 1361
18. Italien 1353
19. Senegal 1352
20. Australien 1350
21. Danmark 1349
22. Kanada 1341
23. Algeria 1332
24. Paraguay 1313
25. Belgien 1310
26. Serbien 1305
27. Sydkorea 1303
28. Turkiet 1297
29. Jordan 1296
30. USA 1292
31. Grekland 1284
32. Schweiz 1284
33. Venezuela 1279
34. Peru 1270
35. Uzbekistan 1268
36. Tunisien 1267
37. Ukraina 1263
38. Österrike 1259
39. New Zealand 1258
40. Ryssland 1254
41. Egypten 1249
42. Costa Rica 1247
43. Sydafrika 1245
44. Haiti 1240
45. Oman 1234
46. Norge 1228
47. Ungern 1224
48. Tjeckien 1215
49. Wales 1212
50. Georgien 1207
51. Irak 1195
52. Slovenien 1192
53. Skottland 1189
54. Angola 1183
55. Jamaica 1183
56. Qatar 1182
57. Ivory Coast 1182
58. Congo DR 1178
59. Mali 1177
60. Slovakien 1174
61. U.A.E. 1172
62. Chile 1164
63. Sverige 1159
64. Honduras 1159
65. Rumänien 1156
66. Polen 1147
67. Burkina Faso 1140
68. Cameroon 1135
69. Bolivia 1129
70. Guatemala 1128
71. Saudi Arabia 1127
72. Bahrain 1127
73. Equatorial Guinea 1109
74. Trinidad and Tobago 1108
75. Nigeria 1101
76. Uganda 1087
77. Cape Verde 1087
78. Mozambique 1087
79. Zanzibar 1087
80. Irland 1082
81. Palestine 1077
82. North Macedonia 1072
83. Albanien 1070
84. Syria 1057
85. Gabon 1052
86. Thailand 1041
87. Vietnam 1038
88. Republic of the Congo 1032
89. Kina 1031
90. Ghana 1031
91. Sudan 1028
92. El Salvador 1021
93. Zambia 1018
94. Finland 1017
95. Guinea 1017
96. North Korea 1013
97. Northern Ireland 1001
98. Kyrgyzstan 997
99. Indonesia 989
100. Tanzania 989
101. Libya 987
102. Namibia 986
103. Lebanon 985
104. Island 979
105. Kuwait 978
106. Togo 977
107. Israel 976
108. Malawi 971
109. Comoros 969
110. Montenegro 966
111. Madagascar 957
112. Malaysia 957
113. Botswana 955
114. Kenya 952
115. Vitryssland 950
116. Benin 950
117. Bosnia & Herzegovina 938
118. Zimbabwe 913
119. Indien 912
120. Turkmenistan 910
121. Sierra Leone 907
122. Lesotho 905
123. Rwanda 905
124. Luxembourg 904
125. Saint Kitts and Nevis 903
126. Bulgaria 901
127. Estland 888
128. Republic of Congo 882
129. Kazakstan 878
130. Eritrea 873
131. Eswatini 858
132. Philippines 856
133. Hong Kong 851
134. Armenien 834
135. Ethiopia 833
136. Burundi 831
137. Afghanistan 819
138. Azerbaijan 807
139. Singapore 801
140. Yemen 760
141. Moldova 751
142. Nepal 742
143. Lettland 738
144. Cypern 732
145. Litauen 732
146. Färöarna 717
147. Maldives 716
148. Bangladesh 715
149. Malta 704
150. Myanmar 677
151. Djibouti 623
152. Mauritius 622
153. Pakistan 612
154. Cambodia 607
155. Somalia 581
156. Bhutan 581
157. Sri Lanka 522
158. Andorra 519
159. Macau 509
160. Seychelles 504
161. Laos 483
162. Liechtenstein 373


Our ratings are currently calculated from games played after 1.1.2000

In football our ratings are similar to World Football Elo Ratings but we have tuned up the formula. For example when goal difference is low or game is tied and we have shots on goal statistics available for the game, we’ll then analyze the shots ratio to have some effect on the ratings. For example if a game was tied 1-1 but home team outshoot away team by 10-2 you might say the home team was the better team despite the result.

In ice hockey the ratings are similar but we have taken account the higher number of goals scored and “home” team (first mentioned team) line change advantage. For example if ice hockey game Sweden – Finland was played at Finland but Sweden had the line change advantage it is then taken account when calculating ratings.

Some examples how ratings are adjusted after each game

In the beginning each team has starting rating of 1000 points. After each game played the sum of points change is 0: if home team gets +20 points then away team gets -20 pts deducted. Amount is always based on the weight/importance of the tournament: in friendlies teams get much less points than in World Cup finals.

Two equal teams meet: winner gets some decent points and loser looses the same amount. Example +20 / -20.
Heavy favorite (much higher rating) wins by few goals: gets only few points because it was very expected result. Your points rises very slowly by beating much poorer teams than you. Example +3 / -3.
Heavy favorite ties a game: favorite loses small amount of points because it was expected that the team should win, the opponent get some points. Example -3 / +3 points.
Heavy favorite loses a game: loses lots of rating points, winner gets lots of points. Example -40 / +40.

Sample Winning Expectancies

Difference
in Ratings
Higher
Rated
Lower
Rated
0 0.500 0.500
10 0.514 0.486
20 0.529 0.471
30 0.543 0.457
40 0.557 0.443
50 0.571 0.429
60 0.585 0.415
70 0.599 0.401
80 0.613 0.387
90 0.627 0.373
100 0.640 0.360
110 0.653 0.347
120 0.666 0.334
130 0.679 0.321
140 0.691 0.309
150 0.703 0.297
160 0.715 0.285
170 0.727 0.273
180 0.738 0.262
190 0.749 0.251
200 0.760 0.240

Table by Eloratings.net

Why are Power Ratings better than winning percentage or league table?

Let’s say we have 2 teams whose performance we are analyzing: Finland and Sweden. Both teams have played 8 games and Finland has 6 wins and 2 losses, Sweden 5 wins and 3 losses. You might say Finland is the better team based on that info? What if Finland has won 4 games against poor teams, 2 against mediocre and lost 2 against better teams. Sweden on the other hand had win 3 games against better teams, 2 against mediocre and then 3 narrow losses against mediocre teams. Putting it that way, you might not believe Finland should be a favorite here after all. Would our Power Ratings tell you the exactly same thing:

Finland starting rating 1000:

1. game 4-0 win against poor team +10 pts (1010)
2. game 3-1 win against poor team +6 pts (1016)
3. game 0-2 loss against better team -10 pts (1006)
4. game 4-3 win against mediocre team +15 pts (1021)
5. game 5-3 win against mediocre team +18 pts (1039)
6. game 3-5 loss against better team -10 pts (1029)
7. game 2-0 win against poor team +6 pts (1035)
8. game 5-2 win against poor team +8 pts (1043)
Current rating 1043

Sweden starting rating 1000:

1. game 3-2 win against better team +25 pts (1025)
2. game 2-3 loss against mediocre team -12 pts (1013)
3. game 4-2 win against better team +30 pts (1043)
4. game 3-0 win against mediocre team +20 pts (1063)
5. game 3-5 loss against mediocre team -15 pts (1048)
6. game 3-4 loss against mediocre team -12 pts (1036)
7. game 4-1 win against better team +35 pts (1071)
8. game 3-1 win against mediocre team +16 pts (1087)
Current rating 1087

These are just rough examples for you to get the idea.

Finland vs Sweden Power Ratings: 1043 – 1087, ratings difference 44 and by looking at the table above you can see that this game should be about Finland 46% winning chance and Sweden 54%. Note that home advantage is usually about 100 points so 46%-54% would be only at neutral venue.

It is not always about how many games you have won but rather which teams and by how many goals that tells more about your true Power. But still remember these are only computer calculated estimations and does not take account real world situations like injuries, weather etc. Also note Power Ratings being much less accurate when teams have a big difference between number of games played and/or quality/diversity of tournaments where they have played.

For example in ice hockey USA and Canada plays only few friendly matches before major tournaments and European teams plays a lots of smaller tournaments - and also playing many games against couple of selected opponents only. Smaller tournaments and friendly matches makes of course smaller changes to Power Ratings than major tournaments but when you play a lot of smaller games it can add up.