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  Międzynarodowe mecze towarzyskie 2011

Piątek 30. grudzień 2011
   
Międzynarodowe mecze towarzyskie2011 Kursy 1x2
Catalonia    0 - 0    Tunezja1.355.398.48
   
środa 28. grudzień 2011
   
Basque Country    0 - 2    Tunezja1.523.955.51
   
Czwartek 22. grudzień 2011
   
Wenezuela    0 - 2    Kostaryka1.723.544.87
Chile    3 - 2    Paragwaj2.523.222.78
Angola    0 - 0    Namibia1.255.209.30
Botswana    3 - 0    Lesotho2.003.203.50
   
Niedziela 18. grudzień 2011
   
Angola    1 - 0    Zambia
   
Piątek 16. grudzień 2011
   
Polska    1 - 0    Bośnia i Hercegowina1.743.434.46
   
środa 14. grudzień 2011
   
Angola    1 - 1    Kamerun1.903.303.70
   
Wtorek 13. grudzień 2011
   
Bahrajn    3 - 0    Irak3.333.152.13
   
Niedziela 11. grudzień 2011
   
Kuba    1 - 1    Kostaryka
   
Sobota 10. grudzień 2011
   
Rwanda    2 - 2    Uganda2.313.052.81
Tanzania    0 - 1    Sudan2.213.082.97
   
Czwartek 8. grudzień 2011
   
Sudan    1 - 2    Rwanda2.743.152.34
Tanzania    1 - 1    Uganda2.783.162.26
   
Wtorek 6. grudzień 2011
   
Bahrajn    0 - 1    Palestyna1.265.159.11
Tanzania    1 - 0    Malawi3.063.212.09
Zimbabwe    0 - 1    Uganda3.183.232.01
   
Poniedziałek 5. grudzień 2011
   
Burundi    0 - 2    Sudan2.003.203.45
Rwanda    2 - 1    Zanzibar
   
Niedziela 4. grudzień 2011
   
Bonaire    2 - 2    Aruba3.503.202.00
   
Sobota 3. grudzień 2011
   
Filipiny    1 - 6    Los Angeles Galaxy9.265.001.25
Kenia    0 - 1    Sudan2.693.222.33
Surinam    0 - 0    Aruba1.107.5017.50
Tanzania    1 - 2    Zimbabwe1.813.244.07
   
Piątek 2. grudzień 2011
   
Etiopia    1 - 1    Malawi2.133.432.95
Rwanda    5 - 2    Dżibuti1.099.3516.40
   
Czwartek 1. grudzień 2011
   
Burundi    1 - 0    Uganda2.333.173.00
Somalia    0 - 3    Zanzibar16.628.801.11
   
środa 30. listopad 2011
   
Indonesia XI    0 - 1    Los Angeles Galaxy8.194.861.29
Etiopia    0 - 2    Kenia2.593.292.53
Malawi    0 - 0    Sudan1.993.283.46
   
Wtorek 29. listopad 2011
   
Indie    0 - 5    Zambia4.083.551.82
Rwanda    2 - 0    Zimbabwe2.283.232.78
Tanzania    3 - 0    Dżibuti1.069.0917.77
   
Poniedziałek 28. listopad 2011
   
Kenia    0 - 2    Malawi2.963.172.19
Somalia    0 - 4    Uganda16.307.051.10
Sudan    1 - 1    Etiopia2.173.192.94
   
Niedziela 27. listopad 2011
   
Zanzibar    0 - 0    Burundi2.203.203.00
   
Czwartek 24. listopad 2011
   
Malediwy    2 - 1    Seszele1.803.404.00
   
Wtorek 22. listopad 2011
   
Malediwy    3 - 0    Seszele
   
Poniedziałek 21. listopad 2011
   
Al Ain    2 - 1    Libia
   
Piątek 18. listopad 2011
   
Kelantan FA    2 - 1    Malediwy1.185.286.30
   
środa 16. listopad 2011
   
Indie    3 - 2    Malezja2.363.242.92
   
Wtorek 15. listopad 2011
   
Kostaryka    2 - 2    Hiszpania13.135.681.23
Anglia    1 - 0    Szwecja1.753.494.90
Francja    0 - 0    Belgia1.673.535.42
Niemcy    3 - 0    Holandia1.913.464.00
Włochy    0 - 1    Urugwaj2.033.243.74
Grecja    1 - 3    Rumunia2.083.233.64

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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. Maroko 1540
3. Argentyna 1531
4. Francja 1523
5. Kolumbia 1522
6. Brazylia 1488
7. Urugwaj 1466
8. Iran 1453
9. Japonia 1441
10. Portugalia 1435
11. Niemcy 1434
12. Anglia 1418
13. Holandia 1417
14. Ekwador 1402
15. Włochy 1366
16. Senegal 1359
17. Chorwacja 1357
18. Kanada 1355
19. USA 1352
20. Panama 1343
21. Dania 1335
22. Belgia 1329
23. Australia 1328
24. Korea Południowa 1326
25. Meksyk 1313
26. Algieria 1310
27. Austria 1303
28. Węgry 1301
29. Paragwaj 1290
30. Szwajcaria 1286
31. Jordania 1284
32. Egipt 1281
33. Catalonia 1281
34. Peru 1275
35. Wenezuela 1272
36. Grecja 1270
37. Serbia 1262
38. Uzbekistan 1253
39. Tunezja 1251
40. Rosja 1247
41. Ukraina 1243
42. Irak 1237
43. Basque Country 1235
44. Kostaryka 1234
45. Haiti 1227
46. Nowa Zelandia 1220
47. Turcja 1219
48. Angola 1216
49. Katar 1213
50. Oman 1213
51. Czechy 1211
52. Walia 1210
53. Norwegia 1205
54. Szkocja 1204
55. Jamajka 1189
56. Rumunia 1186
57. Słowenia 1186
58. Słowacja 1179
59. RPA 1176
60. Gruzja 1172
61. Chile 1171
62. Wybrzeże Kości Słoniowej 1171
63. Zjednoczone Emiraty Arabskie 1168
64. Szwecja 1167
65. Mali 1165
66. Nowa Kaledonia 1156
67. Honduras 1155
68. Bahrajn 1152
69. England C 1152
70. Demokratyczna Republika Konga 1145
71. Polska 1141
72. Kamerun 1138
73. Boliwia 1135
74. Gwatemala 1129
75. Burkina Faso 1123
76. J.League XI 1115
77. Fidżi 1114
78. Gwinea Równikowa 1106
79. Arabia Saudyjska 1102
80. Uganda 1095
81. Nigeria 1094
82. Zanzibar 1087
83. Étoile Sportive du Sahel 1072
84. Albania 1071
85. Trynidad i Tobago 1071
86. Mozambik 1071
87. North Macedonia 1066
88. Palestyna 1061
89. Tahiti 1060
90. Komory 1059
91. Syria 1055
92. Republika Zielonego Przylądka 1055
93. Irlandia 1052
94. Gwinea 1052
95. Wyspy Salomona 1048
96. Chiny 1044
97. Islandia 1042
98. Gabon 1042
99. Nikaragua 1037
100. Tajlandia 1036
101. Wietnam 1035
102. Korea Północna 1034
103. Sudan 1027
104. Los Angeles Galaxy 1024
105. Zambia 1023
106. Surinam 1023
107. Salwador 1021
108. Finlandia 1017
109. Kuba 1013
110. Curaçao 1013
111. Gujana 1002
112. Corsica 999
113. Indonesia XI 997
114. Libia 994
115. Ghana 991
116. Tanzania 991
117. Togo 988
118. Kuwejt 985
119. Izrael 983
120. Liban 981
121. Indonezja 979
122. South Africa B 977
123. Kenia 970
124. Benin 970
125. Botswana 965
126. Tadżykistan 962
127. Namibia 961
128. Czarnogóra 956
129. Kyrgyzstan 955
130. Madagaskar 951
131. Malezja 951
132. Vanuatu 950
133. Gambia 948
134. Niger 948
135. Rwanda 940
136. Réunion 934
137. Malawi 932
138. Bułgaria 931
139. Liberia 922
140. Indie 921
141. Mayotte 913
142. Białoruś 911
143. Saint Kitts i Nevis 903
144. Saint Vincent and the Grenadines 902
145. Bośnia i Hercegowina 900
146. Lesotho 899
147. Zimbabwe 898
148. Turkmenistan 896
149. Republika Środkowoafrykańska 893
150. Luksemburg 890
151. Estonia 875
152. Sierra Leone 872
153. Armenia 869
154. Kazachstan 860
155. Eswatini 859
156. Gwinea Bissau 858
157. Hongkong 848
158. Filipiny 846
159. Afganistan 843
160. Azerbejdżan 835
161. Burundi 834
162. Etiopia 832
163. Grenada 824
164. Singapur 817
165. Chad 799
166. Mołdawia 781
167. Jemen 769
168. Bonaire 742
169. Barbados 741
170. Cypr 734
171. Dominika 733
172. Nepal 732
173. Malediwy 731
174. Łotwa 727
175. Litwa 726
176. Antigua i Barbuda 722
177. Malta 716
178. Bangladesz 701
179. Tajwan 696
180. Aruba 692
181. Myanmar 657
182. Dżibuti 635
183. Kambodża 623
184. Pakistan 614
185. Mauritius 611
186. Bhutan 572
187. Somalia 567
188. Gibraltar 552
189. Anguilla 538
190. Andora 535
191. Wyspy Dziewicze Stanów Zjednoczony 522
192. Sri Lanka 512
193. Makau 511
194. Seszele 510
195. Liechtenstein 381
196. San Marino 296
197. Dinamo Bucharest
198. Bayern München
199. Kaiserslautern
200. Metalist Kharkiv
201. Xamax Neuchatel
202. Union Berlin
203. Ingolstadt
204. Darmstadt 98
205. Club América
206. Al Ain
207. FC Bunyodkor
208. Torpedo-BelAZ Zhodino
209. 1. SV Wiener Neudorf
210. Chonburi FC
211. Kelantan FA


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.