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  International U19 Friendlies 2016

Sobota 10. grudzień 2016
   
International U19 Friendlies2016 Kursy 1x2
Canada West U19    6 - 5 d. USA U19
   
Niedziela 6. listopad 2016
   
Finlandia U19    2 - 3 pen Czechy U191.454.804.69
   
Sobota 5. listopad 2016
   
Finlandia U19    4 - 0    Czechy U191.534.503.84
   
Piątek 4. listopad 2016
   
Finlandia U19    4 - 2    Czechy U191.624.403.75
   
Sobota 30. lipiec 2016
   
Niemcy U20    4 - 1    Czechy U195.905.001.35
   
Piątek 29. lipiec 2016
   
Szwajcaria U20    4 - 0    Czechy U19
   
Czwartek 28. lipiec 2016
   
Czechy U19    3 - 1    Słowacja U202.454.352.05
   
Niedziela 10. kwiecień 2016
   
Czechy U19    1 - 3    Finlandia U192.264.452.28
Słowacja U19    2 - 6    Rosja U195.585.801.31
   
Sobota 9. kwiecień 2016
   
Czechy U19    4 - 3 d. Słowacja U191.505.024.04
Rosja U19    4 - 2    Finlandia U192.004.002.79
   
Piątek 8. kwiecień 2016
   
Czechy U19    4 - 3 pen Rosja U192.894.501.84
Finlandia U19    1 - 2    Słowacja U191.405.254.85
   
Wtorek 5. kwiecień 2016
   
Czechy U19    2 - 6    Finlandia U192.644.122.05
   
Sobota 13. luty 2016
   
Czechy U19    1 - 0 pen Niemcy U191.505.004.02
Szwecja U19    1 - 5    Finlandia U191.805.002.81
   
Piątek 12. luty 2016
   
Niemcy U19    4 - 5 d. Finlandia U198.007.001.16
Szwajcaria U19    0 - 4    Czechy U193.604.751.62
   
Czwartek 11. luty 2016
   
Finlandia U19    3 - 0    Czechy U191.654.603.33
Szwecja U19    5 - 1    Szwajcaria U191.285.506.75
   
środa 10. luty 2016
   
Niemcy U19    2 - 5    Szwajcaria U193.484.601.65
Czechy U19    3 - 5    Szwecja U194.684.601.47
   
Wtorek 9. luty 2016
   
Niemcy U19    1 - 4    Szwecja U1916.0014.121.02
Szwajcaria U19    3 - 2    Finlandia U196.926.001.25

Więcej Wyników


grudzień 2016
listopad 2016
lipiec 2016
kwiecień 2016
luty 2016

Canada West U19
Czechy U19
Finlandia U19
Niemcy U19
Niemcy U20
Rosja U19
Słowacja U19
Słowacja U20
Szwajcaria U19
Szwajcaria U20
Szwecja U19
USA U19


Wybierz Sezon


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


-
Sezon Gier 1 x 2  ¦  1 2  ¦  Ponad 5.5 Poniżej 5.5 Ponad 4.5 Poniżej 4.5 Home Advantage
2024Sezon 4 50.0% 25.0% 25.0%  ¦  75.0% 25.0%  ¦  50.0% 50.0% 50.0% 50.0% 50.0%
2023Sezon 12 41.7% 0.0% 58.3%  ¦  41.7% 58.3%  ¦  50.0% 50.0% 91.7% 8.3% -16.7%
2022Sezon 7 28.6% 14.3% 57.1%  ¦  28.6% 71.4%  ¦  71.4% 28.6% 85.7% 14.3% -42.9%
2021Sezon 7 42.9% 14.3% 42.9%  ¦  57.1% 42.9%  ¦  14.3% 85.7% 71.4% 28.6% 14.3%
2020Sezon 16 43.8% 12.5% 43.8%  ¦  56.3% 43.8%  ¦  50.0% 50.0% 68.8% 31.3% 12.5%
2019Sezon 20 35.0% 15.0% 50.0%  ¦  50.0% 50.0%  ¦  60.0% 40.0% 80.0% 20.0% 0.0%
2018Sezon 21 52.4% 9.5% 38.1%  ¦  52.4% 47.6%  ¦  57.1% 42.9% 66.7% 33.3% 4.8%
2017Sezon 20 50.0% 15.0% 35.0%  ¦  55.0% 45.0%  ¦  50.0% 50.0% 60.0% 40.0% 10.0%
2016Sezon 24 37.5% 25.0% 37.5%  ¦  54.2% 45.8%  ¦  50.0% 50.0% 62.5% 37.5% 8.3%
2015Sezon 16 43.8% 25.0% 31.3%  ¦  56.3% 43.8%  ¦  50.0% 50.0% 56.3% 43.8% 12.5%
2014Sezon 22 72.7% 9.1% 18.2%  ¦  77.3% 22.7%  ¦  45.5% 54.5% 63.6% 36.4% 54.5%
2013Sezon 16 31.3% 31.3% 37.5%  ¦  43.8% 56.3%  ¦  68.8% 31.3% 68.8% 31.3% -12.5%
2012Sezon 13 53.8% 15.4% 30.8%  ¦  69.2% 30.8%  ¦  69.2% 30.8% 84.6% 15.4% 38.5%
2011Sezon 3 0.0% 0.0% 100.0%  ¦  0.0% 100.0%  ¦  33.3% 66.7% 66.7% 33.3% -100.0%

Naciśnij na wybranej kolumnie w celu posortowania danych
Mouseover percentages (%) to see value odds

AnnaBet Power Ratings

Updated 2024-12-16 12:14:52
#Drużyna Rating
1. Szwecja U19 1186
2. Słowacja U20 1151
3. Rosja U19 1148
4. Finlandia U19 1141
5. Szwajcaria U20 1072
6. Czechy U19 998
7. Słowacja U19 976
8. Niemcy U20 963
9. Szwajcaria U19 867
10. Niemcy U19 773
11. USA U19
12. Canada West U19


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.