AnnaBet.com
Welcome Guest   Login   Register Please register or log in.
Web Store    Facebook   Twitter   Contact Us

Soccer

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 2020

Wednesday 2. December 2020
   
International Friendlies Women2020 Odds 1x2
Brazil W    8 - 0    Ecuador W1.0126.6747.00
   
Monday 30. November 2020
   
Ghana W    2 - 0    Morocco W
   
Saturday 28. November 2020
   
Chile W    1 - 2    Zambia W1.314.876.80
Brazil W    6 - 0    Ecuador W1.0115.0023.17
   
Friday 27. November 2020
   
Netherlands W    0 - 2    USA W3.923.421.80
   
Thursday 26. November 2020
   
Ghana W    3 - 1    Morocco W
   
Tuesday 27. October 2020
   
Serbia W    2 - 1    Bulgaria W
   
Sunday 20. September 2020
   
Luxembourg W    0 - 3    Bulgaria W
   
Wednesday 12. August 2020
   
Estonia W    1 - 0    Latvia W2.873.292.33
   
Thursday 12. March 2020
   
USA W    3 - 1    Japan W1.176.6111.41
   
Wednesday 11. March 2020
   
England W    0 - 1    Spain W2.613.162.58
Slovakia W    2 - 4    Finland W3.413.431.95
Mexico W    0 - 0    Czech Republic W4.253.571.75
   
Tuesday 10. March 2020
   
France W    3 - 3    Netherlands W1.444.026.33
Scotland W    2 - 1    Northern Ireland W1.0710.8818.50
Brazil W    2 - 2    Canada W2.173.133.16
Austria W    1 - 2    Switzerland W1.863.433.59
Ghana W    3 - 1    Kenya W
Ukraine W    0 - 1    Iceland W4.194.011.65
Belarus W    0 - 5    Serbia W4.874.281.54
Romania W    1 - 7    Hungary W
   
Monday 9. March 2020
   
Faroe Islands W    1 - 1    Estonia W2.953.502.15
   
Sunday 8. March 2020
   
USA W    1 - 0    Spain W1.325.246.82
Japan W    0 - 1    England W3.543.261.99
Morocco W    3 - 2    Ghana W
Mexico W    2 - 2    Slovakia W2.493.262.60
Finland W    2 - 3    Croatia W1.344.687.51
   
Saturday 7. March 2020
   
France W    1 - 0    Brazil W1.444.475.68
Canada W    0 - 0    Netherlands W3.583.481.94
Ukraine W    4 - 0    Northern Ireland W1.783.683.80
Scotland W    1 - 0    Iceland W2.573.402.43
Kenya W    0 - 5    Chile W
Romania W    1 - 1    Belarus W
Hong Kong W    0 - 4    Hungary W
   
Friday 6. March 2020
   
Wales W    2 - 0    Estonia W1.0212.9527.55
Switzerland W    1 - 1    Austria W3.173.442.06
Armenia W    1 - 1    Lithuania W3.214.271.96
USA W    2 - 0    England W1.464.206.14
   
Thursday 5. March 2020
   
Spain W    3 - 1    Japan W2.263.262.93
Czech Republic W    1 - 1    Finland W2.183.332.97
Croatia W    1 - 1    Mexico W4.853.881.59
   
Wednesday 4. March 2020
   
Netherlands W    0 - 0    Brazil W2.083.472.97
Ukraine W    0 - 3    Scotland W10.925.811.23
France W    1 - 0    Canada W1.324.727.47
Northern Ireland W    0 - 1    Iceland W14.608.521.10
Chile W    3 - 0    Ghana W
Romania W    4 - 1    Hong Kong W
Armenia W    0 - 1    Lithuania W2.533.152.45
   
Saturday 22. February 2020
   
Algeria W    0 - 2    Morocco W5.053.921.50
Tunisia W    1 - 1    Tanzania W2.153.512.77

More Results


December 2020
November 2020
October 2020
September 2020
August 2020
March 2020
February 2020
January 2020

Algeria W
Armenia W
Austria W
Belarus W
Bosnia & Herzegovi
Brazil W
Bulgaria W
Canada W
Chile W
Croatia W
Czech Republic W
Ecuador W
England W
Estonia W
Faroe Islands W
Finland W
France W
Ghana W
Haiti W
Hong Kong W
Hungary W
Iceland W
Japan W
Kenya W
Latvia W
Lithuania W
Luxembourg W
Malta W
Mexico W
Montenegro W
Morocco W
Myanmar W
Netherlands W
Northern Ireland W
Romania W
Scotland W
Serbia W
Slovakia W
Spain W
Switzerland W
Tanzania W
Thailand W
Tunisia W
Turkey W
USA W
Ukraine 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. England W 1601
6. Spain W 1570
7. Netherlands W 1525
8. Iceland W 1482
9. France W 1464
10. Mexico W 1414
11. Austria W 1335
12. Zambia W 1320
13. Morocco W 1300
14. Scotland W 1233
15. Haiti W 1233
16. Ghana W 1221
17. Switzerland W 1202
18. Finland W 1188
19. Myanmar W 1185
20. Czech Republic W 1180
21. Serbia W 1161
22. Algeria W 1158
23. Kenya W 1134
24. Tanzania W 1128
25. Wales W 1120
26. Ukraine W 1117
27. Chile W 1097
28. Thailand W 1072
29. Northern Ireland W 1046
30. Tunisia W 1026
31. Belarus W 1012
32. Hungary W 983
33. Romania W 960
34. Bosnia & Herzegovina W 957
35. Turkey W 957
36. Slovakia W 949
37. Croatia W 913
38. Hong Kong W 891
39. Ecuador W 880
40. Malta W 876
41. Lithuania W 771
42. Montenegro W 765
43. Faroe Islands W 734
44. Latvia W 722
45. Estonia W 690
46. Luxembourg W 657
47. Armenia W 571
48. 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.


Gamble Responsibly. Gambling Therapy. 18+