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Hokej

           ZDA Rusija Finska Švedska
Mednarodno Austria Avstralija Belorusija Češka Danska Francija Italija Kanada Kazahstan Latvija Madžarska Nemčija Norveška Poljska Slovaška Slovenija Španija Švica United Kingdom

  EHT - LG Hockey Games 2012-2013

# Ekipa GP W OTW OTL L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Finska 3 2 0 1 0 11 6 +5 7 2.33 67% 3.67 1.67
2. Češka 3 2 0 0 1 4 4 0 6 2.00 67% 1.33 1.33
3. Rusija 3 1 1 0 1 9 6 +3 5 1.67 67% 2.67 2.00
4. Švedska 3 0 0 0 3 3 11 -8 0 0.00 0% 1.00 3.67


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Izberite sezono


2023-2024
2022-2023
2021-2022
2020-2021
2019-2020
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2017-2018
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Wikipedia

Nedelja 10. februar 2013
   
EHT - LG Hockey Games2012-2013 kvote 1x2
Švedska    2 - 5    Finska2.394.212.44
Rusija    1 - 2    Češka1.694.613.69
   
Sobota 9. februar 2013
   
Švedska    1 - 4    Rusija2.874.222.05
Finska    3 - 0    Češka2.434.042.37
   
četrtek 7. februar 2013
   
Češka    2 - 0    Švedska2.974.252.00
   
Sreda 6. februar 2013
   
Rusija    4 - 3 pen Finska1.514.834.96

Več rezultatov


februar 2013

Češka
Finska
Rusija
Švedska


Izberite sezono


2023-2024
2022-2023
2021-2022
2020-2021
2019-2020
2018-2019
2017-2018
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Wikipedia

# Ekipa GP W OTW OTL L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Finska 3 2 0 1 0 11 6 +5 7 2.33 67% 3.67 1.67
2. Češka 3 2 0 0 1 4 4 0 6 2.00 67% 1.33 1.33
3. Rusija 3 1 1 0 1 9 6 +3 5 1.67 67% 2.67 2.00
4. Švedska 3 0 0 0 3 3 11 -8 0 0.00 0% 1.00 3.67

-
Sezona Igre 1 x 2  ¦  1 2  ¦  Nad 5.5 Pod 5.5 Nad 4.5 Pod 4.5 Home Advantage
2023-2024Redna sezona6 50.0% 0.0% 50.0%  ¦  50.0% 50.0%  ¦  66.7% 33.3% 83.3% 16.7% 0.0%
2022-2023Redna sezona6 50.0% 50.0% 0.0%  ¦  66.7% 33.3%  ¦  33.3% 66.7% 33.3% 66.7% 33.3%
2021-2022Redna sezona6 33.3% 16.7% 50.0%  ¦  50.0% 50.0%  ¦  16.7% 83.3% 33.3% 66.7% 0.0%
2020-2021Redna sezona6 50.0% 50.0% 0.0%  ¦  66.7% 33.3%  ¦  16.7% 83.3% 33.3% 66.7% 33.3%
2019-2020Redna sezona6 50.0% 16.7% 33.3%  ¦  50.0% 50.0%  ¦  50.0% 50.0% 50.0% 50.0% 0.0%
2018-2019Redna sezona6 50.0% 33.3% 16.7%  ¦  66.7% 33.3%  ¦  50.0% 50.0% 50.0% 50.0% 33.3%
2017-2018Redna sezona6 50.0% 16.7% 33.3%  ¦  66.7% 33.3%  ¦  33.3% 66.7% 33.3% 66.7% 33.3%
2016-2017Redna sezona6 33.3% 0.0% 66.7%  ¦  33.3% 66.7%  ¦  66.7% 33.3% 83.3% 16.7% -33.3%
2013-2014Redna sezona6 66.7% 33.3% 0.0%  ¦  83.3% 16.7%  ¦  16.7% 83.3% 33.3% 66.7% 66.7%
2012-2013Redna sezona6 33.3% 16.7% 50.0%  ¦  50.0% 50.0%  ¦  33.3% 66.7% 50.0% 50.0% 0.0%
2011-2012Redna sezona6 50.0% 16.7% 33.3%  ¦  66.7% 33.3%  ¦  16.7% 83.3% 33.3% 66.7% 33.3%
2010-2011Redna sezona6 50.0% 33.3% 16.7%  ¦  83.3% 16.7%  ¦  66.7% 33.3% 66.7% 33.3% 66.7%
2009-2010Redna sezona6 33.3% 33.3% 33.3%  ¦  66.7% 33.3%  ¦  50.0% 50.0% 83.3% 16.7% 33.3%
2008-2009Redna sezona6 33.3% 16.7% 50.0%  ¦  33.3% 66.7%  ¦  83.3% 16.7% 83.3% 16.7% -33.3%
2007-2008Redna sezona6 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  66.7% 33.3% 83.3% 16.7% 33.3%
2006-2007Redna sezona6 66.7% 33.3% 0.0%  ¦  100.0% 0.0%  ¦  50.0% 50.0% 66.7% 33.3% 100.0%
2005-2006Redna sezona6 50.0% 0.0% 50.0%  ¦  50.0% 50.0%  ¦  50.0% 50.0% 50.0% 50.0% 0.0%
2004-2005Redna sezona6 50.0% 50.0% 0.0%  ¦  66.7% 33.3%  ¦  50.0% 50.0% 66.7% 33.3% 33.3%
2003-2004Redna sezona6 50.0% 16.7% 33.3%  ¦  66.7% 33.3%  ¦  16.7% 83.3% 33.3% 66.7% 33.3%
2002-2003Redna sezona10 40.0% 50.0% 10.0%  ¦  70.0% 30.0%  ¦  30.0% 70.0% 60.0% 40.0% 40.0%
2001-2002Redna sezona10 30.0% 30.0% 40.0%  ¦  40.0% 60.0%  ¦  50.0% 50.0% 60.0% 40.0% -20.0%
2000-2001Redna sezona10 30.0% 10.0% 60.0%  ¦  40.0% 60.0%  ¦  30.0% 70.0% 40.0% 60.0% -20.0%
1999-2000Redna sezona10 70.0% 10.0% 20.0%  ¦  77.8% 22.2%  ¦  10.0% 90.0% 50.0% 50.0% 55.6%
1998-1999Redna sezona10 20.0% 10.0% 70.0%  ¦  22.2% 77.8%  ¦  20.0% 80.0% 70.0% 30.0% -55.6%
1997-1998Redna sezona10 60.0% 10.0% 30.0%  ¦  66.7% 33.3%  ¦  30.0% 70.0% 60.0% 40.0% 33.3%
1996-1997Redna sezona10 60.0% 10.0% 30.0%  ¦  66.7% 33.3%  ¦  50.0% 50.0% 60.0% 40.0% 33.3%

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AnnaBet Power rating

Updated 2025-01-01 12:21:24
#Ekipa Rating
1. Rusija 1559
2. Češka 1553
3. Švedska 1545
4. Finska 1475


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.