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  Międzynarodowe mecze towarzyskie 2021

Piątek 31. grudzień 2021
   
Międzynarodowe mecze towarzyskie2021 Kursy 1x2
Komory    1 - 2    Malawi
   
Czwartek 30. grudzień 2021
   
Sudan    2 - 3    Etiopia
Mauretania    0 - 0    Burkina Faso
   
Niedziela 19. grudzień 2021
   
USA    1 - 0    Bośnia i Hercegowina1.523.875.98
   
Niedziela 12. grudzień 2021
   
Salwador    0 - 1    Chile4.733.441.68
   
Czwartek 9. grudzień 2021
   
Tanzania    0 - 2    Uganda2.103.023.42
Meksyk    2 - 2    Chile2.323.232.96
   
Wtorek 7. grudzień 2021
   
Włochy U17    3 - 1    Francja U17
   
Niedziela 5. grudzień 2021
   
Salwador    1 - 1    Ekwador4.813.601.65
   
Czwartek 25. listopad 2021
   
Indonezja    4 - 1    Myanmar1.613.804.54
   
Piątek 19. listopad 2021
   
Sri Lanka    3 - 4 pen Seszele
   
Wtorek 16. listopad 2021
   
Białoruś    1 - 0    Jordania2.103.163.44
Bahrajn    4 - 2    Kyrgyzstan
Nowa Zelandia    2 - 0    Gambia
Sri Lanka    2 - 1    Bangladesz
Afganistan    1 - 0    Indonezja1.673.334.24
Kazachstan    1 - 0    Tadżykistan1.713.524.13
Singapur    1 - 7    Morocco B
Malediwy    0 - 0    Seszele
   
Poniedziałek 15. listopad 2021
   
Litwa    1 - 1    Kuwejt1.933.254.01
Gruzja    1 - 0    Uzbekistan2.123.113.40
   
Niedziela 14. listopad 2021
   
Azerbejdżan    2 - 2    Katar3.213.052.22
Nikaragua    2 - 0    Kuba1.843.333.71
   
Sobota 13. listopad 2021
   
Sri Lanka    0 - 1    Seszele
Sierra Leone    0 - 2    Komory
Bangladesz    2 - 1    Malediwy
Burundi    2 - 1    Myanmar
   
Piątek 12. listopad 2021
   
Nowa Zelandia    2 - 1    Algeria B
   
Czwartek 11. listopad 2021
   
Czechy    7 - 0    Kuwejt1.295.009.47
Ukraina    1 - 1    Bułgaria1.494.036.37
Serbia    4 - 0    Katar1.424.296.98
Kyrgyzstan    2 - 1    Singapur
Nikaragua    0 - 3    Kuba1.503.826.29
   
środa 10. listopad 2021
   
Kosovo    0 - 2    Jordania1.693.674.78
Bangladesz    1 - 1    Seszele
   
Wtorek 9. listopad 2021
   
Sri Lanka    4 - 4    Malediwy
   
Sobota 6. listopad 2021
   
Salwador    0 - 1    Boliwia2.163.143.15
   
Czwartek 28. październik 2021
   
Meksyk    2 - 3    Ekwador1.683.534.49
   
Wtorek 12. październik 2021
   
Irlandia    4 - 0    Katar1.793.334.61
Bahrajn    0 - 1    Nowa Zelandia2.153.213.13
Gambia    2 - 1    South Sudan
Morocco B    2 - 1    Sierra Leone
Jordania    3 - 0    Uzbekistan2.573.162.46
   
Sobota 9. październik 2021
   
Portugalia    3 - 0    Katar1.216.4512.06
Curaçao    1 - 2    Nowa Zelandia3.643.431.90
Uzbekistan    5 - 1    Malezja1.176.1812.55
Gambia    1 - 2    Sierra Leone
Morocco B    2 - 0    South Sudan
   
Czwartek 7. październik 2021
   
Gambia    2 - 7    Morocco B
   
środa 6. październik 2021
   
Bahrajn    4 - 0    Curaçao1.663.534.79

Więcej Wyników


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Afganistan
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-
Sezon Gier 1 x 2  ¦  1 2  ¦  Ponad 2.5 Poniżej 2.5 Ponad 1.5 Poniżej 1.5 Home Advantage
2025Sezon 15 46.7% 20.0% 33.3%  ¦  58.3% 41.7%  ¦  33.3% 66.7% 66.7% 33.3% 16.7%
2024Sezon 325 48.0% 24.3% 27.7%  ¦  63.2% 36.8%  ¦  48.9% 51.1% 73.5% 26.5% 26.4%
2023Sezon 320 48.4% 28.1% 23.4%  ¦  67.1% 32.9%  ¦  42.8% 57.2% 70.6% 29.4% 34.2%
2022Sezon 388 53.4% 24.0% 22.7%  ¦  70.2% 29.8%  ¦  46.4% 53.6% 68.0% 32.0% 40.5%
2021Sezon 247 51.4% 23.9% 24.7%  ¦  67.2% 32.8%  ¦  47.8% 52.2% 68.0% 32.0% 34.4%
2020Sezon 134 49.3% 24.6% 26.1%  ¦  65.3% 34.7%  ¦  50.0% 50.0% 67.9% 32.1% 30.7%
2019Sezon 260 47.3% 27.7% 25.0%  ¦  65.6% 34.4%  ¦  40.0% 60.0% 62.3% 37.7% 31.2%
2018Sezon 428 44.6% 27.1% 28.3%  ¦  61.1% 38.9%  ¦  41.6% 58.4% 66.6% 33.4% 22.2%
2017Sezon 328 47.3% 26.5% 26.2%  ¦  64.6% 35.4%  ¦  49.1% 50.9% 74.7% 25.3% 29.2%
2016Sezon 332 48.8% 27.7% 23.5%  ¦  67.9% 32.1%  ¦  43.7% 56.3% 68.4% 31.6% 35.8%
2015Sezon 333 49.5% 24.9% 25.5%  ¦  66.1% 33.9%  ¦  44.1% 55.9% 70.0% 30.0% 32.3%
2014Sezon 405 49.6% 27.2% 23.2%  ¦  67.8% 32.2%  ¦  44.2% 55.8% 71.1% 28.9% 35.6%
2013Sezon 361 46.3% 26.9% 26.9%  ¦  63.0% 37.0%  ¦  47.9% 52.1% 72.6% 27.4% 26.0%
2012Sezon 428 46.5% 24.5% 29.0%  ¦  61.5% 38.5%  ¦  47.9% 52.1% 70.8% 29.2% 23.0%
2011Sezon 456 45.2% 29.2% 25.7%  ¦  63.1% 36.9%  ¦  40.4% 59.6% 69.1% 30.9% 26.3%
2010Sezon 423 48.5% 23.2% 28.4%  ¦  62.9% 37.1%  ¦  47.3% 52.7% 71.9% 28.1% 25.8%
2009Sezon 383 50.4% 24.3% 25.3%  ¦  66.7% 33.3%  ¦  45.2% 54.8% 68.1% 31.9% 33.3%
2008Sezon 395 50.1% 26.1% 23.8%  ¦  67.8% 32.2%  ¦  46.8% 53.2% 69.6% 30.4% 35.6%
2007Sezon 321 46.1% 27.1% 26.8%  ¦  63.3% 36.7%  ¦  43.6% 56.4% 71.7% 28.3% 26.7%
2006Sezon 314 46.8% 24.8% 28.3%  ¦  62.1% 37.9%  ¦  43.6% 56.4% 69.4% 30.6% 24.2%
2005Sezon 196 47.4% 27.0% 25.5%  ¦  64.1% 35.9%  ¦  55.1% 44.9% 76.0% 24.0% 28.3%
2004Sezon 206 46.6% 24.8% 28.6%  ¦  62.2% 37.8%  ¦  50.5% 49.5% 74.3% 25.7% 24.4%
2003Sezon 192 47.4% 22.9% 29.7%  ¦  61.5% 38.5%  ¦  47.4% 52.6% 67.2% 32.8% 23.0%
2002Sezon 211 42.2% 29.4% 28.4%  ¦  59.3% 40.7%  ¦  41.2% 58.8% 69.7% 30.3% 18.7%
2001Sezon 231 48.9% 26.8% 24.2%  ¦  67.3% 32.7%  ¦  47.6% 52.4% 74.0% 26.0% 34.5%
2000Sezon 484 53.7% 25.2% 21.1%  ¦  71.6% 28.4%  ¦  46.3% 53.7% 70.7% 29.3% 43.3%
1999Sezon 344 47.7% 29.9% 22.4%  ¦  68.3% 31.7%  ¦  47.4% 52.6% 70.3% 29.7% 36.6%
1998Sezon 360 51.4% 26.4% 22.2%  ¦  69.9% 30.1%  ¦  54.2% 45.8% 75.3% 24.7% 39.8%
1997Sezon 243 52.3% 26.3% 21.4%  ¦  71.1% 28.9%  ¦  45.3% 54.7% 69.5% 30.5% 42.2%
1996Sezon 370 50.5% 26.8% 22.7%  ¦  69.1% 30.9%  ¦  45.4% 54.6% 72.4% 27.6% 38.2%
1995Sezon 291 48.8% 25.1% 26.1%  ¦  65.5% 34.5%  ¦  55.3% 44.7% 74.6% 25.4% 30.9%
1994Sezon 287 49.1% 28.6% 22.3%  ¦  68.8% 31.2%  ¦  42.2% 57.8% 69.0% 31.0% 37.6%
1993Sezon 197 50.3% 24.9% 24.9%  ¦  67.1% 32.9%  ¦  48.2% 51.8% 76.6% 23.4% 34.2%
1992Sezon 224 50.9% 29.5% 19.6%  ¦  72.2% 27.8%  ¦  40.6% 59.4% 67.0% 33.0% 44.3%
1991Sezon 168 35.7% 38.1% 26.2%  ¦  57.7% 42.3%  ¦  39.9% 60.1% 70.2% 29.8% 15.4%
1990Sezon 210 44.3% 25.7% 30.0%  ¦  59.6% 40.4%  ¦  47.6% 52.4% 66.7% 33.3% 19.2%
1989Sezon 154 44.2% 29.2% 26.6%  ¦  62.4% 37.6%  ¦  40.3% 59.7% 65.6% 34.4% 24.8%
1988Sezon 265 40.4% 29.8% 29.8%  ¦  57.5% 42.5%  ¦  39.6% 60.4% 64.9% 35.1% 15.1%
1987Sezon 151 50.3% 28.5% 21.2%  ¦  70.4% 29.6%  ¦  42.4% 57.6% 68.9% 31.1% 40.7%
1986Sezon 167 41.3% 28.1% 30.5%  ¦  57.5% 42.5%  ¦  40.7% 59.3% 64.1% 35.9% 15.0%
1985Sezon 208 52.4% 25.0% 22.6%  ¦  69.9% 30.1%  ¦  45.2% 54.8% 67.3% 32.7% 39.7%
1984Sezon 223 45.7% 26.9% 27.4%  ¦  62.6% 37.4%  ¦  35.4% 64.6% 62.8% 37.2% 25.2%
1983Sezon 187 42.2% 31.6% 26.2%  ¦  61.7% 38.3%  ¦  40.6% 59.4% 69.0% 31.0% 23.4%
1982Sezon 145 44.8% 29.0% 26.2%  ¦  63.1% 36.9%  ¦  44.8% 55.2% 69.0% 31.0% 26.2%
1981Sezon 163 44.2% 23.3% 32.5%  ¦  57.6% 42.4%  ¦  52.1% 47.9% 76.7% 23.3% 15.2%
1980Sezon 179 44.7% 29.1% 26.3%  ¦  63.0% 37.0%  ¦  48.0% 52.0% 77.7% 22.3% 26.0%
1979Sezon 106 54.7% 17.0% 28.3%  ¦  65.9% 34.1%  ¦  50.9% 49.1% 70.8% 29.2% 31.8%
1978Sezon 130 47.7% 23.1% 29.2%  ¦  62.0% 38.0%  ¦  44.6% 55.4% 65.4% 34.6% 24.0%
1977Sezon 141 44.0% 29.1% 27.0%  ¦  62.0% 38.0%  ¦  43.3% 56.7% 70.2% 29.8% 24.0%
1976Sezon 141 42.6% 24.1% 33.3%  ¦  56.1% 43.9%  ¦  52.5% 47.5% 72.3% 27.7% 12.1%
1975Sezon 68 44.1% 25.0% 30.9%  ¦  58.8% 41.2%  ¦  48.5% 51.5% 75.0% 25.0% 17.6%
1974Sezon 122 44.3% 24.6% 31.1%  ¦  58.7% 41.3%  ¦  40.2% 59.8% 61.5% 38.5% 17.4%
1973Sezon 82 47.6% 19.5% 32.9%  ¦  59.1% 40.9%  ¦  36.6% 63.4% 67.1% 32.9% 18.2%
1972Sezon 180 47.8% 25.0% 27.2%  ¦  63.7% 36.3%  ¦  52.2% 47.8% 76.1% 23.9% 27.4%
1971Sezon 128 46.1% 25.8% 28.1%  ¦  62.1% 37.9%  ¦  50.0% 50.0% 70.3% 29.7% 24.2%
1970Sezon 122 43.4% 27.9% 28.7%  ¦  60.2% 39.8%  ¦  45.9% 54.1% 74.6% 25.4% 20.5%
1969Sezon 122 50.8% 25.4% 23.8%  ¦  68.1% 31.9%  ¦  57.4% 42.6% 77.0% 23.0% 36.3%
1968Sezon 116 38.8% 34.5% 26.7%  ¦  59.2% 40.8%  ¦  56.9% 43.1% 81.0% 19.0% 18.4%
1967Sezon 101 39.6% 22.8% 37.6%  ¦  51.3% 48.7%  ¦  55.4% 44.6% 76.2% 23.8% 2.6%
1966Sezon 113 47.8% 19.5% 32.7%  ¦  59.3% 40.7%  ¦  54.0% 46.0% 76.1% 23.9% 18.7%
1965Sezon 72 31.9% 34.7% 33.3%  ¦  48.9% 51.1%  ¦  51.4% 48.6% 66.7% 33.3% -2.1%
1964Sezon 85 48.2% 21.2% 30.6%  ¦  61.2% 38.8%  ¦  58.8% 41.2% 76.5% 23.5% 22.4%
1963Sezon 88 44.3% 23.9% 31.8%  ¦  58.2% 41.8%  ¦  60.2% 39.8% 78.4% 21.6% 16.4%
1962Sezon 96 57.3% 12.5% 30.2%  ¦  65.5% 34.5%  ¦  74.0% 26.0% 90.6% 9.4% 31.0%
1961Sezon 78 44.9% 17.9% 37.2%  ¦  54.7% 45.3%  ¦  60.3% 39.7% 84.6% 15.4% 9.4%
1960Sezon 96 61.5% 9.4% 29.2%  ¦  67.8% 32.2%  ¦  81.3% 18.8% 91.7% 8.3% 35.6%
1959Sezon 64 54.7% 18.8% 26.6%  ¦  67.3% 32.7%  ¦  71.9% 28.1% 85.9% 14.1% 34.6%
1958Sezon 89 46.1% 28.1% 25.8%  ¦  64.1% 35.9%  ¦  65.2% 34.8% 88.8% 11.2% 28.1%
1957Sezon 67 35.8% 26.9% 37.3%  ¦  49.0% 51.0%  ¦  56.7% 43.3% 76.1% 23.9% -2.0%
1956Sezon 90 41.1% 22.2% 36.7%  ¦  52.9% 47.1%  ¦  62.2% 37.8% 84.4% 15.6% 5.7%
1955Sezon 90 42.2% 18.9% 38.9%  ¦  52.1% 47.9%  ¦  75.6% 24.4% 91.1% 8.9% 4.1%
1954Sezon 72 47.2% 19.4% 33.3%  ¦  58.6% 41.4%  ¦  70.8% 29.2% 87.5% 12.5% 17.2%
1953Sezon 62 35.5% 22.6% 41.9%  ¦  45.8% 54.2%  ¦  77.4% 22.6% 85.5% 14.5% -8.3%
1952Sezon 68 48.5% 17.6% 33.8%  ¦  58.9% 41.1%  ¦  75.0% 25.0% 88.2% 11.8% 17.9%
1951Sezon 64 46.9% 21.9% 31.3%  ¦  60.0% 40.0%  ¦  73.4% 26.6% 87.5% 12.5% 20.0%
1950Sezon 81 53.1% 17.3% 29.6%  ¦  64.2% 35.8%  ¦  81.5% 18.5% 88.9% 11.1% 28.4%
1949Sezon 64 45.3% 15.6% 39.1%  ¦  53.7% 46.3%  ¦  71.9% 28.1% 90.6% 9.4% 7.4%
1948Sezon 65 47.7% 21.5% 30.8%  ¦  60.8% 39.2%  ¦  56.9% 43.1% 76.9% 23.1% 21.6%
1947Sezon 76 47.4% 11.8% 40.8%  ¦  53.7% 46.3%  ¦  88.2% 11.8% 94.7% 5.3% 7.5%
1946Sezon 60 68.3% 10.0% 21.7%  ¦  75.9% 24.1%  ¦  81.7% 18.3% 90.0% 10.0% 51.9%
1945Sezon 29 72.4% 10.3% 17.2%  ¦  80.8% 19.2%  ¦  89.7% 10.3% 93.1% 6.9% 61.5%
1944Sezon 4 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1943Sezon 15 26.7% 20.0% 53.3%  ¦  33.3% 66.7%  ¦  73.3% 26.7% 80.0% 20.0% -33.3%
1942Sezon 29 48.3% 13.8% 37.9%  ¦  56.0% 44.0%  ¦  79.3% 20.7% 96.6% 3.4% 12.0%
1941Sezon 22 50.0% 31.8% 18.2%  ¦  73.3% 26.7%  ¦  77.3% 22.7% 100.0% 0.0% 46.7%
1940Sezon 45 53.3% 26.7% 20.0%  ¦  72.7% 27.3%  ¦  73.3% 26.7% 93.3% 6.7% 45.5%
1939Sezon 66 50.0% 16.7% 33.3%  ¦  60.0% 40.0%  ¦  80.3% 19.7% 92.4% 7.6% 20.0%
1938Sezon 61 49.2% 19.7% 31.1%  ¦  61.2% 38.8%  ¦  68.9% 31.1% 86.9% 13.1% 22.4%
1937Sezon 63 49.2% 19.0% 31.7%  ¦  60.8% 39.2%  ¦  76.2% 23.8% 90.5% 9.5% 21.6%
1936Sezon 66 42.4% 18.2% 39.4%  ¦  51.9% 48.1%  ¦  77.3% 22.7% 93.9% 6.1% 3.7%
1935Sezon 78 53.8% 20.5% 25.6%  ¦  67.7% 32.3%  ¦  73.1% 26.9% 91.0% 9.0% 35.5%
1934Sezon 50 56.0% 16.0% 28.0%  ¦  66.7% 33.3%  ¦  84.0% 16.0% 92.0% 8.0% 33.3%
1933Sezon 67 49.3% 20.9% 29.9%  ¦  62.3% 37.7%  ¦  68.7% 31.3% 88.1% 11.9% 24.5%
1932Sezon 69 52.2% 5.8% 42.0%  ¦  55.4% 44.6%  ¦  79.7% 20.3% 89.9% 10.1% 10.8%
1931Sezon 72 61.1% 12.5% 26.4%  ¦  69.8% 30.2%  ¦  76.4% 23.6% 90.3% 9.7% 39.7%
1930Sezon 71 52.1% 23.9% 23.9%  ¦  68.5% 31.5%  ¦  76.1% 23.9% 91.5% 8.5% 37.0%
1929Sezon 57 59.6% 17.5% 22.8%  ¦  72.3% 27.7%  ¦  82.5% 17.5% 94.7% 5.3% 44.7%
1928Sezon 57 40.4% 26.3% 33.3%  ¦  54.8% 45.2%  ¦  70.2% 29.8% 91.2% 8.8% 9.5%
1927Sezon 67 47.8% 19.4% 32.8%  ¦  59.3% 40.7%  ¦  77.6% 22.4% 89.6% 10.4% 18.5%
1926Sezon 69 52.2% 13.0% 34.8%  ¦  60.0% 40.0%  ¦  85.5% 14.5% 95.7% 4.3% 20.0%
1925Sezon 74 40.5% 18.9% 40.5%  ¦  50.0% 50.0%  ¦  56.8% 43.2% 74.3% 25.7% 0.0%
1924Sezon 74 50.0% 16.2% 33.8%  ¦  59.7% 40.3%  ¦  62.2% 37.8% 85.1% 14.9% 19.4%
1923Sezon 77 45.5% 26.0% 28.6%  ¦  61.4% 38.6%  ¦  68.8% 31.2% 88.3% 11.7% 22.8%
1922Sezon 50 38.0% 32.0% 30.0%  ¦  55.9% 44.1%  ¦  64.0% 36.0% 84.0% 16.0% 11.8%
1921Sezon 42 38.1% 33.3% 28.6%  ¦  57.1% 42.9%  ¦  69.0% 31.0% 90.5% 9.5% 14.3%
1920Sezon 31 58.1% 19.4% 22.6%  ¦  72.0% 28.0%  ¦  58.1% 41.9% 83.9% 16.1% 44.0%
1919Sezon 26 57.7% 19.2% 23.1%  ¦  71.4% 28.6%  ¦  84.6% 15.4% 96.2% 3.8% 42.9%
1918Sezon 17 64.7% 17.6% 17.6%  ¦  78.6% 21.4%  ¦  58.8% 41.2% 94.1% 5.9% 57.1%
1917Sezon 18 38.9% 22.2% 38.9%  ¦  50.0% 50.0%  ¦  55.6% 44.4% 83.3% 16.7% 0.0%
1916Sezon 20 55.0% 15.0% 30.0%  ¦  64.7% 35.3%  ¦  65.0% 35.0% 80.0% 20.0% 29.4%
1915Sezon 13 61.5% 7.7% 30.8%  ¦  66.7% 33.3%  ¦  69.2% 30.8% 100.0% 0.0% 33.3%
1914Sezon 34 41.2% 29.4% 29.4%  ¦  58.3% 41.7%  ¦  64.7% 35.3% 85.3% 14.7% 16.7%
1913Sezon 38 55.3% 13.2% 31.6%  ¦  63.6% 36.4%  ¦  60.5% 39.5% 81.6% 18.4% 27.3%
1912Sezon 35 34.3% 20.0% 45.7%  ¦  42.9% 57.1%  ¦  80.0% 20.0% 94.3% 5.7% -14.3%
1911Sezon 38 47.4% 13.2% 39.5%  ¦  54.5% 45.5%  ¦  76.3% 23.7% 94.7% 5.3% 9.1%
1910Sezon 27 59.3% 11.1% 29.6%  ¦  66.7% 33.3%  ¦  77.8% 22.2% 88.9% 11.1% 33.3%
1909Sezon 26 50.0% 15.4% 34.6%  ¦  59.1% 40.9%  ¦  84.6% 15.4% 96.2% 3.8% 18.2%
1908Sezon 29 44.8% 6.9% 48.3%  ¦  48.1% 51.9%  ¦  89.7% 10.3% 93.1% 6.9% -3.7%
1907Sezon 17 52.9% 11.8% 35.3%  ¦  60.0% 40.0%  ¦  76.5% 23.5% 88.2% 11.8% 20.0%
1906Sezon 16 25.0% 18.8% 56.3%  ¦  30.8% 69.2%  ¦  62.5% 37.5% 81.3% 18.8% -38.5%
1905Sezon 12 58.3% 33.3% 8.3%  ¦  87.5% 12.5%  ¦  58.3% 41.7% 66.7% 33.3% 75.0%
1904Sezon 9 22.2% 44.4% 33.3%  ¦  40.0% 60.0%  ¦  55.6% 44.4% 77.8% 22.2% -20.0%
1903Sezon 10 60.0% 0.0% 40.0%  ¦  60.0% 40.0%  ¦  70.0% 30.0% 90.0% 10.0% 20.0%
1902Sezon 9 22.2% 33.3% 44.4%  ¦  33.3% 66.7%  ¦  66.7% 33.3% 77.8% 22.2% -33.3%
1901Sezon 7 42.9% 28.6% 28.6%  ¦  60.0% 40.0%  ¦  71.4% 28.6% 85.7% 14.3% 20.0%
1900Sezon 6 50.0% 16.7% 33.3%  ¦  60.0% 40.0%  ¦  50.0% 50.0% 100.0% 0.0% 20.0%
1899Sezon 6 83.3% 0.0% 16.7%  ¦  83.3% 16.7%  ¦  83.3% 16.7% 83.3% 16.7% 66.7%
1898Sezon 6 16.7% 0.0% 83.3%  ¦  16.7% 83.3%  ¦  83.3% 16.7% 83.3% 16.7% -66.7%
1897Sezon 6 66.7% 16.7% 16.7%  ¦  80.0% 20.0%  ¦  100.0% 0.0% 100.0% 0.0% 60.0%
1896Sezon 6 50.0% 16.7% 33.3%  ¦  60.0% 40.0%  ¦  83.3% 16.7% 100.0% 0.0% 20.0%
1895Sezon 6 50.0% 50.0% 0.0%  ¦  100.0% 0.0%  ¦  83.3% 16.7% 100.0% 0.0% 100.0%
1894Sezon 6 33.3% 33.3% 33.3%  ¦  50.0% 50.0%  ¦  100.0% 0.0% 100.0% 0.0% 0.0%
1893Sezon 6 83.3% 0.0% 16.7%  ¦  83.3% 16.7%  ¦  100.0% 0.0% 100.0% 0.0% 66.7%
1892Sezon 6 16.7% 16.7% 66.7%  ¦  20.0% 80.0%  ¦  50.0% 50.0% 100.0% 0.0% -60.0%
1891Sezon 6 83.3% 0.0% 16.7%  ¦  83.3% 16.7%  ¦  100.0% 0.0% 100.0% 0.0% 66.7%
1890Sezon 6 33.3% 16.7% 50.0%  ¦  40.0% 60.0%  ¦  83.3% 16.7% 100.0% 0.0% -20.0%
1889Sezon 6 50.0% 16.7% 33.3%  ¦  60.0% 40.0%  ¦  83.3% 16.7% 83.3% 16.7% 20.0%
1888Sezon 6 33.3% 0.0% 66.7%  ¦  33.3% 66.7%  ¦  100.0% 0.0% 100.0% 0.0% -33.3%
1887Sezon 6 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  83.3% 16.7% 100.0% 0.0% 33.3%
1886Sezon 7 42.9% 14.3% 42.9%  ¦  50.0% 50.0%  ¦  85.7% 14.3% 100.0% 0.0% 0.0%
1885Sezon 7 28.6% 28.6% 42.9%  ¦  40.0% 60.0%  ¦  57.1% 42.9% 85.7% 14.3% -20.0%
1884Sezon 6 50.0% 0.0% 50.0%  ¦  50.0% 50.0%  ¦  83.3% 16.7% 83.3% 16.7% 0.0%
1883Sezon 5 40.0% 20.0% 40.0%  ¦  50.0% 50.0%  ¦  80.0% 20.0% 100.0% 0.0% 0.0%
1882Sezon 5 80.0% 0.0% 20.0%  ¦  80.0% 20.0%  ¦  100.0% 0.0% 100.0% 0.0% 60.0%
1881Sezon 3 0.0% 0.0% 100.0%  ¦  0.0% 100.0%  ¦  66.7% 33.3% 66.7% 33.3% -100.0%
1880Sezon 3 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  100.0% 0.0% 100.0% 0.0% 33.3%
1879Sezon 3 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  100.0% 0.0% 100.0% 0.0% 33.3%
1878Sezon 2 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1877Sezon 2 0.0% 0.0% 100.0%  ¦  0.0% 100.0%  ¦  50.0% 50.0% 100.0% 0.0% -100.0%
1876Sezon 2 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1875Sezon 1 0.0% 100.0% 0.0%  ¦   ¦  100.0% 0.0% 100.0% 0.0%
1874Sezon 1 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1873Sezon 1 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1872Sezon 1 0.0% 100.0% 0.0%  ¦   ¦  0.0% 100.0% 0.0% 100.0%

Naciśnij na wybranej kolumnie w celu posortowania danych
Mouseover percentages (%) to see value odds

AnnaBet Power Ratings

Updated 2025-02-23 10:11:03
#Drużyna Rating
1. Hiszpania 1646
2. Francja U17 1568
3. Maroko 1540
4. Francja 1523
5. Iran 1453
6. Włochy U17 1449
7. Japonia 1441
8. Portugalia 1435
9. Niemcy 1434
10. Anglia 1418
11. Holandia 1417
12. Ekwador 1402
13. Włochy 1366
14. Senegal 1359
15. Chorwacja 1357
16. USA 1352
17. Panama 1343
18. Dania 1335
19. Belgia 1329
20. Korea Południowa 1326
21. Meksyk 1313
22. Algieria 1310
23. Austria 1303
24. Węgry 1301
25. Szwajcaria 1286
26. Jordania 1284
27. Egipt 1281
28. Grecja 1270
29. Serbia 1262
30. Uzbekistan 1253
31. Tunezja 1251
32. Rosja 1247
33. Ukraina 1243
34. Irak 1237
35. Kostaryka 1234
36. Haiti 1227
37. Nowa Zelandia 1220
38. Turcja 1219
39. Katar 1213
40. Oman 1213
41. Czechy 1211
42. Walia 1210
43. Norwegia 1205
44. Szkocja 1204
45. Jamajka 1189
46. Rumunia 1186
47. Słowenia 1186
48. Słowacja 1179
49. RPA 1176
50. Gruzja 1172
51. Chile 1171
52. Wybrzeże Kości Słoniowej 1171
53. Zjednoczone Emiraty Arabskie 1168
54. Szwecja 1167
55. Mali 1165
56. Honduras 1155
57. Bahrajn 1152
58. Demokratyczna Republika Konga 1145
59. Polska 1141
60. Kamerun 1138
61. Boliwia 1135
62. Gwatemala 1129
63. Ferencváros 1124
64. Burkina Faso 1123
65. Martinique 1110
66. Arabia Saudyjska 1102
67. Uganda 1095
68. Nigeria 1094
69. Albania 1071
70. Trynidad i Tobago 1071
71. Mauretania 1067
72. North Macedonia 1066
73. Palestyna 1061
74. Morocco B 1061
75. Komory 1059
76. Syria 1055
77. Republika Zielonego Przylądka 1055
78. Guadeloupe 1055
79. Irlandia 1052
80. Gwinea 1052
81. Dominikana 1051
82. Islandia 1042
83. Nikaragua 1037
84. Tajlandia 1036
85. Wietnam 1035
86. Sudan 1027
87. Zambia 1023
88. Salwador 1021
89. Finlandia 1017
90. Algeria B 1015
91. Kuba 1013
92. Curaçao 1013
93. Irlandia Północna 1004
94. Libia 994
95. Croatia B 993
96. Ghana 991
97. Tanzania 991
98. Togo 988
99. Kuwejt 985
100. Izrael 983
101. Liban 981
102. Indonezja 979
103. Kenia 970
104. Benin 970
105. Kosovo 969
106. Tadżykistan 962
107. Czarnogóra 956
108. Kyrgyzstan 955
109. Malezja 951
110. Gambia 948
111. Niger 948
112. Rwanda 940
113. Malawi 932
114. Bułgaria 931
115. Liberia 922
116. Indie 921
117. Białoruś 911
118. Bośnia i Hercegowina 900
119. Republika Środkowoafrykańska 893
120. Luksemburg 890
121. Portoryko 885
122. Republic of Congo 882
123. Estonia 875
124. Sierra Leone 872
125. Armenia 869
126. Kazachstan 860
127. Afganistan 843
128. Azerbejdżan 835
129. Burundi 834
130. Etiopia 832
131. Singapur 817
132. South Sudan 800
133. Mołdawia 781
134. Cypr 734
135. Nepal 732
136. Malediwy 731
137. Łotwa 727
138. Litwa 726
139. Wyspy Owcze 725
140. Malta 716
141. Bangladesz 701
142. Myanmar 657
143. Dżibuti 635
144. Somalia 567
145. Gibraltar 552
146. Andora 535
147. Sri Lanka 512
148. Seszele 510
149. Liechtenstein 381
150. San Marino 296


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.