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  International Friendlies Women 2024

Tuesday 25. February 2025
   
International Friendlies Women2024 Odds 1x2
Chile W    0 - 0    Argentina W
Poland U17 W    1 - 1    Austria U17 W
South Africa W    2 - 0    Lesotho W1.265.159.91
China W    0 - 2    Mexico W3.063.222.27
International Friendlies Women - Playoffs - Finals2024 Odds 1x2
Zambia W    2 - 3    Malawi W1.613.824.93
International Friendlies Women2024 Odds 1x2
Australia U20 W    5 - 2    Thailand U20 W
   
Monday 30. December 2025
   
India W    14 - 0    Maldives W
   
Friday 27. December 2024
   
Ivory Coast W    2 - 0    Benin W
Ivory Coast W    2 - 1    Benin W
   
Saturday 21. December 2024
   
Anguilla W    1 - 2 pen Antigua and Barbuda W
United States Virgin Is    1 - 0    Saint Kitts and Nevis W
   
Friday 20. December 2024
   
Antigua and Barbuda W    4 - 0    United States Virgin Is
   
Thursday 19. December 2024
   
Anguilla W    6 - 1    Saint Kitts and Nevis W
   
Wednesday 18. December 2024
   
Saint Kitts and Nevis W    0 - 2    United States Virgin Is
   
Tuesday 17. December 2024
   
Anguilla W    1 - 0    Antigua and Barbuda W
   
Monday 16. December 2024
   
Saint Kitts and Nevis W    0 - 5    Antigua and Barbuda W
Niger W    0 - 3    Burkina Faso W
   
Sunday 15. December 2024
   
Anguilla W    3 - 1    United States Virgin Is
   
Saturday 14. December 2024
   
Niger W    1 - 3    Burkina Faso W
   
Sunday 8. December 2024
   
Trinidad and Tobago W    1 - 1    Saint Vincent & the Gre
   
Saturday 7. December 2024
   
Guinea W    1 - 1    Liberia W
Saudi Arabia W    1 - 1    Pakistan W1.923.224.14
Australia W    6 - 0    Chinese Taipei W1.0413.2731.65
   
Thursday 5. December 2024
   
Suriname W    3 - 0    Saint Vincent & the Gre
   
Wednesday 4. December 2024
   
Trinidad and Tobago W    0 - 4    Suriname W
Liberia W    4 - 1    Guinea W
Australia W    3 - 1    Chinese Taipei W1.0315.0247.91
Mexico W    1 - 1    Panama W1.127.7415.86
   
Tuesday 3. December 2024
   
Chile W    0 - 1    Uruguay W1.713.634.10
France W    2 - 4    Spain W3.213.202.14
England W    1 - 0    Switzerland W1.088.8219.11
Netherlands W    1 - 2    USA W3.333.282.13
Canada W    5 - 1    South Korea W1.235.3111.57
Morocco W    1 - 0    Mali W1.206.1111.97
Romania W    1 - 2    Albania W1.186.0810.97
Saudi Arabia W    2 - 0    Palestine W2.293.173.09
Malta W    1 - 1    Hungary W8.545.281.25
North Macedonia W    1 - 5    Montenegro W3.493.691.85
Uzbekistan W    0 - 3    Belarus W
Jamaica W    3 - 2    South Africa W1.763.464.15
   
Monday 2. December 2024
   
Germany W    1 - 2    Italy W1.354.637.28
Denmark W    2 - 0    Iceland W1.993.213.46
Russia W    1 - 0    Azerbaijan W1.088.7814.39
Kosovo W    1 - 2    Estonia W1.098.4717.66
   
Sunday 1. December 2024
   
Jordan W    2 - 1    Iran W
Moldova W    2 - 0    Armenia W1.893.263.69
Slovakia W    1 - 2    Greece W1.593.575.11
Australia W    1 - 2    Brazil W2.843.382.21
Mexico W    4 - 1    Costa Rica W1.166.0715.34
Colombia W    1 - 2 pen Argentina W1.523.875.30

More Results


February 2025
December 2024
November 2024
October 2024
September 2024
August 2024
July 2024
June 2024
May 2024
April 2024
February 2024
January 2024

Albania W
Algeria W
Andorra W
Anguilla W
Antigua and Barbud
Argentina W
Armenia W
Aruba W
Australia W
Austria W
Azerbaijan W
Bahrain W
Bangladesh W
Belarus W
Belize W
Benin W
Bermuda W
Bhutan W
Bolivia W
Botswana W
Brazil W
Burkina Faso W
Canada W
Catalonia W
Cayman Islands W
Chile W
China W
Chinese Taipei W
Colombia W
Congo DR W
Costa Rica W
Croatia W
Cuba W
Curaçao W
Czech Republic W
Denmark W
Ecuador W
El Salvador W
England W
Estonia W
Eswatini W
Faroe Islands W
Finland W
France W
Georgia W
Germany W
Ghana W
Gibraltar W
Greece W
Guam W
Guatemala W
Guinea W
Haiti W
Honduras W
Hong Kong W
Hungary W
Iceland W
India W
Indonesia W
Iran W
Iraq W
Ireland W
Italy W
Ivory Coast W
Jamaica W
Japan W
Jordan W
Kenya W
Kosovo W
Laos W
Latvia W
Lebanon W
Lesotho W
Liberia W
Liechtenstein W
Lithuania W
Macau W
Malaysia W
Maldives W
Mali W
Malta W
Mexico W
Moldova W
Montenegro W
Morocco W
Mozambique W
Myanmar W
Namibia W
Netherlands W
New Zealand W
Nicaragua W
Niger W
Nigeria W
North Korea W
North Macedonia W
Northern Mariana I
Pakistan W
Palestine W
Panama W
Paraguay W
Peru W
Philippines W
Poland W
Portugal W
Puerto Rico W
Romania W
Russia W
Saint Kitts and Ne
Saint Vincent & th
Saudi Arabia W
Scotland W
Senegal W
Seychelles W
Singapore W
Slovakia W
Slovenia W
South Africa W
South Korea W
South Sudan W
Spain W
Suriname W
Switzerland W
Syria W
Tanzania W
Thailand W
Trinidad and Tobag
Tunisia W
Turkey W
U.A.E. W
USA W
Uganda W
United States Virg
Uruguay W
Uzbekistan W
Venezuela W
Vietnam 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. Japan W 1649
3. Brazil W 1626
4. Canada W 1614
5. Germany W 1604
6. England W 1601
7. Spain W 1570
8. Netherlands W 1525
9. Iceland W 1482
10. France W 1464
11. Denmark W 1440
12. North Korea W 1427
13. Australia W 1422
14. Mexico W 1414
15. Italy W 1413
16. Colombia W 1388
17. Nigeria W 1376
18. China W 1357
19. Austria W 1335
20. South Korea W 1333
21. Zambia W 1320
22. South Africa W 1303
23. Morocco W 1300
24. Portugal W 1270
25. Ireland W 1255
26. Russia W 1245
27. Scotland W 1233
28. Haiti W 1233
29. Vietnam W 1232
30. Ghana W 1221
31. Poland W 1216
32. Switzerland W 1202
33. Venezuela W 1197
34. New Zealand W 1194
35. Finland W 1188
36. Myanmar W 1185
37. Chinese Taipei W 1181
38. Czech Republic W 1180
39. Argentina W 1177
40. Panama W 1169
41. Philippines W 1165
42. Puerto Rico W 1165
43. Algeria W 1158
44. Bangladesh W 1158
45. Mali W 1157
46. Costa Rica W 1154
47. Jamaica W 1154
48. Kenya W 1134
49. Tanzania W 1128
50. Cuba W 1126
51. Wales W 1120
52. Senegal W 1108
53. Burkina Faso W 1108
54. Namibia W 1103
55. Ivory Coast W 1101
56. Chile W 1097
57. Uzbekistan W 1094
58. Uganda W 1086
59. Thailand W 1072
60. El Salvador W 1069
61. Congo DR W 1069
62. Bermuda W 1060
63. India W 1058
64. Iran W 1049
65. Botswana W 1048
66. Catalonia W 1028
67. Tunisia W 1026
68. Slovenia W 1021
69. Guatemala W 1018
70. Greece W 1015
71. Belarus W 1012
72. Suriname W 1010
73. Nicaragua W 990
74. Trinidad and Tobago W 987
75. Hungary W 983
76. Paraguay W 983
77. Jordan W 982
78. Curaçao W 962
79. Romania W 960
80. Turkey W 957
81. Slovakia W 949
82. Uruguay W 948
83. Belize W 948
84. Benin W 946
85. Mozambique W 932
86. Lesotho W 915
87. Croatia W 913
88. Guam W 908
89. Liberia W 907
90. Azerbaijan W 906
91. Guinea W 904
92. Liechtenstein W 893
93. Hong Kong W 891
94. Ecuador W 880
95. Pakistan W 878
96. Albania W 877
97. Malta W 876
98. Honduras W 876
99. Bahrain W 873
100. Malaysia W 865
101. Antigua and Barbuda W 862
102. Bhutan W 851
103. Saint Kitts and Nevis W 850
104. Lebanon W 846
105. Saint Vincent & the Grenadines W 844
106. Anguilla W 843
107. Indonesia W 841
108. South Sudan W 834
109. Cayman Islands W 830
110. Saudi Arabia W 823
111. Northern Mariana Islands W 819
112. Aruba W 812
113. Kosovo W 806
114. Eswatini W 798
115. Georgia W 792
116. Lithuania W 771
117. Singapore W 767
118. Seychelles W 767
119. Montenegro W 765
120. Laos W 757
121. Niger W 750
122. Macau W 749
123. U.A.E. W 743
124. Gibraltar W 737
125. Faroe Islands W 734
126. Latvia W 722
127. United States Virgin Islands W 715
128. Syria W 704
129. Estonia W 690
130. Palestine W 690
131. Peru W 675
132. Andorra W 670
133. Moldova W 658
134. Maldives W 636
135. Bolivia W 612
136. Armenia W 571
137. North Macedonia W 545
138. Iraq W 504


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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