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  International Friendlies 2001

Четверг 30. Август 2001
   
International Friendlies2001 Коэффициенты 1x2
Словакия    5 - 2    Словения
   
Четверг 19. Апрель 2001
   
Словакия    2 - 1    Латвия
   
Среда 18. Апрель 2001
   
Словакия    3 - 0    Латвия
   
Среда 11. Апрель 2001
   
Словакия    8 - 4    Чехия
   
Вторник 10. Апрель 2001
   
Чехия    3 - 1    Словакия

Еще результаты


Августа 2001
Апреля 2001

Латвия
Словакия
Словения
Чехия


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Сезон матчей 1 x 2  ¦  1 2  ¦  Больше 5.5 Меньше 5.5 Больше 4.5 Меньше 4.5 Домашнее преимущество
2025Регулярный сезон14 78.6% 0.0% 21.4%  ¦  78.6% 21.4%  ¦  28.6% 71.4% 42.9% 57.1% 57.1%
2024Регулярный сезон89 41.6% 25.8% 32.6%  ¦  56.2% 43.8%  ¦  44.9% 55.1% 53.9% 46.1% 12.4%
2023Регулярный сезон111 41.4% 18.9% 39.6%  ¦  52.3% 47.7%  ¦  45.9% 54.1% 59.5% 40.5% 4.5%
2022Регулярный сезон79 44.3% 21.5% 34.2%  ¦  49.4% 50.6%  ¦  41.8% 58.2% 53.2% 46.8% -1.3%
2021Регулярный сезон88 51.1% 14.8% 34.1%  ¦  60.2% 39.8%  ¦  36.4% 63.6% 62.5% 37.5% 20.5%
2020Регулярный сезон13 53.8% 23.1% 23.1%  ¦  69.2% 30.8%  ¦  38.5% 61.5% 46.2% 53.8% 38.5%
2019Регулярный сезон113 42.5% 17.7% 39.8%  ¦  54.0% 46.0%  ¦  41.6% 58.4% 56.6% 43.4% 8.0%
2018Регулярный сезон113 46.0% 17.7% 36.3%  ¦  56.6% 43.4%  ¦  36.3% 63.7% 55.8% 44.2% 13.3%
2017Регулярный сезон42 28.6% 9.5% 61.9%  ¦  35.7% 64.3%  ¦  52.4% 47.6% 69.0% 31.0% -28.6%
2016-2017Регулярный сезон1 0.0% 0.0% 100.0%  ¦  0.0% 100.0%  ¦  0.0% 100.0% 100.0% 0.0% -100.0%
2016Регулярный сезон60 50.0% 11.7% 38.3%  ¦  58.3% 41.7%  ¦  51.7% 48.3% 65.0% 35.0% 16.7%
2015Регулярный сезон14 57.1% 14.3% 28.6%  ¦  71.4% 28.6%  ¦  42.9% 57.1% 64.3% 35.7% 42.9%
2014Регулярный сезон56 55.4% 12.5% 32.1%  ¦  62.5% 37.5%  ¦  39.3% 60.7% 51.8% 48.2% 25.0%
2013Регулярный сезон73 37.0% 21.9% 41.1%  ¦  43.8% 56.2%  ¦  43.8% 56.2% 54.8% 45.2% -12.3%
2012Регулярный сезон81 35.8% 27.2% 37.0%  ¦  46.3% 53.8%  ¦  29.6% 70.4% 42.0% 58.0% -7.5%
2011Регулярный сезон75 48.0% 24.0% 28.0%  ¦  61.3% 38.7%  ¦  48.0% 52.0% 66.7% 33.3% 22.7%
2010Регулярный сезон56 42.9% 16.1% 41.1%  ¦  49.1% 50.9%  ¦  39.3% 60.7% 57.1% 42.9% -1.9%
2009Регулярный сезон66 48.5% 19.7% 31.8%  ¦  59.4% 40.6%  ¦  54.5% 45.5% 66.7% 33.3% 18.8%
2008Регулярный сезон55 45.5% 18.2% 36.4%  ¦  51.9% 48.1%  ¦  40.0% 60.0% 56.4% 43.6% 3.8%
2007Регулярный сезон46 41.3% 17.4% 41.3%  ¦  52.3% 47.7%  ¦  45.7% 54.3% 63.0% 37.0% 4.5%
2006Регулярный сезон47 48.9% 10.6% 40.4%  ¦  54.8% 45.2%  ¦  42.6% 57.4% 48.9% 51.1% 9.5%
2005Регулярный сезон55 41.8% 20.0% 38.2%  ¦  52.3% 47.7%  ¦  23.6% 76.4% 40.0% 60.0% 4.5%
2004Регулярный сезон58 50.0% 24.1% 25.9%  ¦  65.2% 34.8%  ¦  36.2% 63.8% 44.8% 55.2% 30.4%
2003Регулярный сезон12 50.0% 33.3% 16.7%  ¦  75.0% 25.0%  ¦  25.0% 75.0% 50.0% 50.0% 50.0%
2002Регулярный сезон4 50.0% 25.0% 25.0%  ¦  66.7% 33.3%  ¦  75.0% 25.0% 75.0% 25.0% 33.3%
2001Регулярный сезон5 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  40.0% 60.0% 40.0% 60.0% 100.0%
2000Регулярный сезон3 33.3% 33.3% 33.3%  ¦  50.0% 50.0%  ¦  66.7% 33.3% 66.7% 33.3% 0.0%
1999Регулярный сезон6 50.0% 33.3% 16.7%  ¦  75.0% 25.0%  ¦  66.7% 33.3% 66.7% 33.3% 50.0%
1998Регулярный сезон5 80.0% 20.0% 0.0%  ¦  100.0% 0.0%  ¦  40.0% 60.0% 60.0% 40.0% 100.0%
1995Регулярный сезон4 50.0% 25.0% 25.0%  ¦  66.7% 33.3%  ¦  50.0% 50.0% 100.0% 0.0% 33.3%
1994Регулярный сезон4 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  75.0% 25.0% 75.0% 25.0% 100.0%
1993Регулярный сезон6 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  83.3% 16.7% 83.3% 16.7% 100.0%

Для сортировки таблицы нажмите на заголовок столбца.
Наведите курсор мыши на проценты (%), чтобы увидеть значение шансы

AnnaBet Сила команд

Последнее обновление 2025-03-24 11:50:47
#Команда форма
1. Чехия 1566
2. Словакия 1351
3. Латвия 1242
4. Словения 1041


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.