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England Italy Spain Germany France Netherlands Belgium Portugal Scotland Russia
International Albania Algeria Argentina Armenia Australia Austria Azerbaijan Bahrain Belarus Bolivia Bosnia & Herzegovina Brazil Bulgaria Canada Chile China Colombia Costa Rica Croatia Cyprus Czech Republic Denmark Ecuador Egypt El Salvador Estonia Faroe Islands Finland Georgia Greece Guatemala Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Israel Jamaica Japan Jordan Kazakhstan Kenya Kuwait Latvia Lithuania Luxembourg Malaysia Malta Mexico Moldova Montenegro Morocco New Zealand Nicaragua North Ireland North Macedonia Norway Paraguay Peru Poland Qatar Republic of Ireland Romania San Marino Saudi Arabia Serbia Singapore Slovakia Slovenia South Africa South Korea Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Tunisia Turkey Turkmenistan USA Uganda Ukraine United Arab Emirates Uruguay Uzbekistan Venezuela Vietnam Wales

  International Friendlies Women 2021

Saturday 18. December 2021
   
International Friendlies Women2021 Odds 1x2
Montenegro W    1 - 0    Bosnia & Herzegovina W
   
Friday 3. December 2021
   
Costa Rica W    3 - 1    Nicaragua W
   
Thursday 2. December 2021
   
Brazil W    2 - 0    Chile W1.117.5514.75
   
Wednesday 1. December 2021
   
Venezuela W    2 - 1    India W1.127.3813.75
Costa Rica W    5 - 2    Nicaragua W
   
Tuesday 30. November 2021
   
Mexico W    0 - 0    Canada W4.803.881.56
Dominican Republic W    1 - 1    Trinidad and Tobago W
Ecuador W    2 - 2    Argentina W3.153.371.99
Paraguay W    4 - 2    Peru W1.613.524.65
Morocco W    2 - 0    Senegal W
Colombia W    1 - 0    Uruguay W1.443.985.46
South Korea W    0 - 2    New Zealand W1.474.065.47
Australia W    1 - 1    USA W5.374.261.48
   
Monday 29. November 2021
   
Netherlands W    0 - 0    Japan W1.543.904.72
Gibraltar W    2 - 3    Liechtenstein W2.273.132.76
Brazil W    4 - 1    Venezuela W
   
Sunday 28. November 2021
   
India W    0 - 3    Chile W
Colombia W    3 - 2    Uruguay W1.175.6011.00
Tunisia W    2 - 4    Algeria W
   
Saturday 27. November 2021
   
Paraguay W    1 - 1    Peru W1.484.084.99
Ecuador W    0 - 0    Argentina W6.334.731.33
Mexico W    2 - 1    Canada W
South Korea W    2 - 1    New Zealand W1.374.636.00
Australia W    0 - 3    USA W5.444.541.44
   
Friday 26. November 2021
   
Dominican Republic W    2 - 1    Trinidad and Tobago W
Gibraltar W    1 - 0    Liechtenstein W4.674.521.52
Brazil W    6 - 1    India W1.019.6565.50
   
Thursday 25. November 2021
   
Chile W    1 - 0    Venezuela W2.113.143.07
Iceland W    2 - 0    Japan W
Tunisia W    0 - 1    Algeria W
   
Friday 19. November 2021
   
El Salvador W    0 - 1    Honduras W
   
Wednesday 27. October 2021
   
USA W    6 - 0    South Korea W1.127.1614.54
Canada W    1 - 0    New Zealand W1.166.8610.72
   
Tuesday 26. October 2021
   
Scotland W    0 - 2    Sweden W4.633.851.58
Ecuador W    1 - 4    Venezuela W5.144.161.47
Australia W    2 - 2    Brazil W2.043.722.96
   
Monday 25. October 2021
   
Dominican Republic W    1 - 1    Bolivia W
Trinidad and Tobago W    1 - 1    Panama W
   
Sunday 24. October 2021
   
Costa Rica W    0 - 0    Jamaica W2.603.382.31
Ecuador W    1 - 4    Venezuela W2.933.132.23
   
Saturday 23. October 2021
   
Colombia W    2 - 0    Chile W2.313.152.72
Mexico W    6 - 1    Argentina W1.613.724.22
Puerto Rico W    2 - 1    Guyana W
Canada W    5 - 1    New Zealand W1.314.946.85
Australia W    3 - 1    Brazil W2.503.752.25
   
Friday 22. October 2021
   
Dominican Republic W    3 - 0    Bolivia W
USA W    0 - 0    South Korea W1.0510.8124.81
   
Thursday 21. October 2021
   
Trinidad and Tobago W    0 - 0    Panama W
Spain W    3 - 0    Morocco W
Costa Rica W    0 - 1    Jamaica W

More Results


December 2021
November 2021
October 2021
September 2021
August 2021
July 2021
June 2021
April 2021
February 2021
January 2021

Albania W
Algeria W
Andorra W
Angola W
Argentina W
Armenia W
Australia W
Austria W
Azerbaijan W
Bahrain W
Bangladesh W
Belarus W
Belgium W
Bolivia W
Bosnia & Herzegovi
Botswana W
Brazil W
Bulgaria W
Cameroon W
Canada W
Chile W
Chinese Taipei W
Colombia W
Costa Rica W
Croatia W
Czech Republic W
Denmark W
Dominican Republic
Ecuador W
Egypt W
El Salvador W
England W
Equatorial Guinea
Estonia W
Eswatini W
Ethiopia W
Faroe Islands W
Finland W
France W
Georgia W
Germany W
Ghana W
Gibraltar W
Guadeloupe W
Guatemala W
Guyana W
Honduras W
Hong Kong W
Hungary W
Iceland W
India W
Iran W
Ireland W
Italy W
Jamaica W
Japan W
Jordan W
Kazakhstan W
Kosovo W
Latvia W
Lebanon W
Liberia W
Liechtenstein W
Lithuania W
Luxembourg W
Mali W
Malta W
Martinique W
Mexico W
Montenegro W
Morocco W
Mozambique W
Namibia W
Nepal W
Netherlands W
New Zealand W
Nicaragua W
Nigeria W
North Macedonia W
Northern Ireland W
Norway W
Palestine W
Panama W
Paraguay W
Peru W
Poland W
Portugal W
Puerto Rico W
Romania W
Russia W
Scotland W
Senegal W
Serbia W
Sierra Leone W
Slovakia W
Slovenia W
South Africa W
South Korea W
South Sudan W
Spain W
Sudan W
Sweden W
Switzerland W
Trinidad and Tobag
Tunisia W
Turkey W
U.A.E. W
USA W
Ukraine W
Uruguay W
Uzbekistan W
Venezuela W
Wales W
Zambia W


Select Season


2025
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010


-
Season Games 1 x 2  ¦  1 2  ¦  Over 2.5 Under 2.5 Over 1.5 Under 1.5 Home Advantage
2025Regular Season45 48.9% 13.3% 37.8%  ¦  56.4% 43.6%  ¦  53.3% 46.7% 80.0% 20.0% 12.8%
2024Regular Season301 53.2% 17.9% 28.9%  ¦  64.2% 35.8%  ¦  55.8% 44.2% 79.4% 20.6% 28.3%
2024Playoffs1 0.0% 0.0% 100.0%  ¦  0.0% 100.0%  ¦  100.0% 0.0% 100.0% 0.0% -100.0%
2023Regular Season311 53.4% 20.3% 26.4%  ¦  66.7% 33.3%  ¦  53.4% 46.6% 74.9% 25.1% 33.3%
2022Regular Season280 52.5% 20.7% 26.8%  ¦  65.9% 34.1%  ¦  56.1% 43.9% 73.9% 26.1% 31.9%
2021Regular Season242 52.9% 18.6% 28.5%  ¦  64.3% 35.7%  ¦  55.8% 44.2% 74.0% 26.0% 28.6%
2020Regular Season59 37.3% 28.8% 33.9%  ¦  52.4% 47.6%  ¦  52.5% 47.5% 78.0% 22.0% 4.8%
2019Regular Season276 53.6% 21.4% 25.0%  ¦  66.8% 33.2%  ¦  58.0% 42.0% 76.8% 23.2% 33.6%
2018Regular Season183 47.0% 20.8% 32.2%  ¦  58.5% 41.5%  ¦  54.1% 45.9% 78.7% 21.3% 17.0%
2017Regular Season251 50.6% 17.9% 31.5%  ¦  61.6% 38.4%  ¦  56.2% 43.8% 76.5% 23.5% 23.2%
2016Regular Season172 61.6% 14.5% 23.8%  ¦  72.1% 27.9%  ¦  52.9% 47.1% 72.7% 27.3% 44.2%
2015Regular Season228 50.4% 19.7% 29.8%  ¦  62.2% 37.8%  ¦  55.3% 44.7% 75.9% 24.1% 24.5%
2014Regular Season149 48.3% 20.8% 30.9%  ¦  60.8% 39.2%  ¦  57.7% 42.3% 79.2% 20.8% 21.7%
2013Regular Season96 53.1% 26.0% 20.8%  ¦  70.8% 29.2%  ¦  57.3% 42.7% 83.3% 16.7% 41.7%
2012Regular Season82 51.2% 19.5% 29.3%  ¦  63.2% 36.8%  ¦  58.5% 41.5% 80.5% 19.5% 26.5%
2011Regular Season41 65.9% 12.2% 22.0%  ¦  75.0% 25.0%  ¦  46.3% 53.7% 82.9% 17.1% 50.0%
2010Regular Season9 66.7% 11.1% 22.2%  ¦  75.0% 25.0%  ¦  88.9% 11.1% 100.0% 0.0% 50.0%

Click on any column to sort table
Mouseover percentages (%) to see value odds

AnnaBet Power Ratings

Updated 2025-02-25 10:51:09
#Team Rating
1. USA W 1734
2. Sweden W 1658
3. Japan W 1649
4. Brazil W 1626
5. Canada W 1614
6. Germany W 1604
7. England W 1601
8. Spain W 1570
9. Netherlands W 1525
10. Iceland W 1482
11. France W 1464
12. Denmark W 1440
13. Australia W 1422
14. Mexico W 1414
15. Italy W 1413
16. Colombia W 1388
17. Nigeria W 1376
18. Norway W 1337
19. Austria W 1335
20. South Korea W 1333
21. Zambia W 1320
22. Belgium W 1310
23. South Africa W 1303
24. Morocco W 1300
25. Portugal W 1270
26. Ireland W 1255
27. Russia W 1245
28. Scotland W 1233
29. Ghana W 1221
30. Poland W 1216
31. Switzerland W 1202
32. Venezuela W 1197
33. New Zealand W 1194
34. Finland W 1188
35. Chinese Taipei W 1181
36. Czech Republic W 1180
37. Argentina W 1177
38. Panama W 1169
39. Puerto Rico W 1165
40. Serbia W 1161
41. Algeria W 1158
42. Bangladesh W 1158
43. Mali W 1157
44. Costa Rica W 1154
45. Jamaica W 1154
46. Cameroon W 1139
47. Ethiopia W 1123
48. Wales W 1120
49. Ukraine W 1117
50. Senegal W 1108
51. Namibia W 1103
52. Chile W 1097
53. Uzbekistan W 1094
54. Dominican Republic W 1091
55. El Salvador W 1069
56. Nepal W 1066
57. India W 1058
58. Guyana W 1053
59. Iran W 1049
60. Botswana W 1048
61. Northern Ireland W 1046
62. Tunisia W 1026
63. Slovenia W 1021
64. Guatemala W 1018
65. Belarus W 1012
66. Nicaragua W 990
67. Trinidad and Tobago W 987
68. Hungary W 983
69. Paraguay W 983
70. Jordan W 982
71. Egypt W 981
72. Romania W 960
73. Bosnia & Herzegovina W 957
74. Turkey W 957
75. Slovakia W 949
76. Uruguay W 948
77. Mozambique W 932
78. Croatia W 913
79. Liberia W 907
80. Azerbaijan W 906
81. Equatorial Guinea W 905
82. Sierra Leone W 893
83. Liechtenstein W 893
84. Hong Kong W 891
85. Ecuador W 880
86. Martinique W 878
87. Albania W 877
88. Malta W 876
89. Honduras W 876
90. Bahrain W 873
91. Angola W 857
92. Lebanon W 846
93. Sudan W 843
94. South Sudan W 834
95. Guadeloupe W 808
96. Kosovo W 806
97. Eswatini W 798
98. Georgia W 792
99. Lithuania W 771
100. Montenegro W 765
101. U.A.E. W 743
102. Gibraltar W 737
103. Faroe Islands W 734
104. Latvia W 722
105. Estonia W 690
106. Palestine W 690
107. Peru W 675
108. Andorra W 670
109. Luxembourg W 657
110. Bolivia W 612
111. Armenia W 571
112. Kazakhstan W 548
113. North Macedonia W 545
114. Bulgaria W 544


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.


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