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Ishockey

           USA Ryssland Finland Sverige
Internationell Australien Danmark Frankrike Italien Kanada Kazakstan Lettland Norge Österrike Polen Schweiz Slovakien Slovenien Spanien Storbritannien Tjeckien Tyskland Ungern Vitryssland

  Olympiska spelen 2022 @ Kina

Group A

# Lag S V OTW OTL F GM IM Diff P Pts/G V% ØGM ØIM
1. USA 3 3 0 0 0 15 4 +11 9 3.00 100% 5.00 1.33
2. Kanada 3 2 0 0 1 12 5 +7 6 2.00 67% 4.00 1.67
3. Tyskland 3 1 0 0 2 6 10 -4 3 1.00 33% 2.00 3.33
4. Kina 3 0 0 0 3 2 16 -14 0 0.00 0% 0.67 5.33

Group B
# Lag S V OTW OTL F GM IM Diff P Pts/G V% ØGM ØIM
1. OAR 3 2 0 1 0 8 6 +2 7 2.33 67% 2.67 1.67
2. Danmark 3 2 0 0 1 7 6 +1 6 2.00 67% 2.33 2.00
3. Tjeckien 3 0 2 0 1 9 8 +1 4 1.33 67% 2.33 2.67
4. Schweiz 3 0 0 1 2 4 8 -4 1 0.33 0% 1.33 2.33

Group C
# Lag S V OTW OTL F GM IM Diff P Pts/G V% ØGM ØIM
1. Finland 3 2 1 0 0 13 6 +7 8 2.67 100% 4.00 2.00
2. Sverige 3 2 0 1 0 10 7 +3 7 2.33 67% 3.33 2.00
3. Slovakien 3 1 0 0 2 8 12 -4 3 1.00 33% 2.67 4.00
4. Lettland 3 0 0 0 3 5 11 -6 0 0.00 0% 1.67 3.67


Klicka rubrikrad för att sortera tabell enligt kolumnen
Låt muspekaren vila över procent (%) för att se värde odds

Välj säsong


2022
2018
2014
2010
2006
2002
1998
1994


Officiell sajt

Wikipedia

Söndag 20. februari 2022
   
Olympiska spelen - Playoffs - Finals2022 Odds 1x2
Finland    2 - 1    OAR2.423.642.65
   
Lördag 19. februari 2022
   
Olympiska spelen - Playoffs - Bronze2022 Odds 1x2
Sverige    0 - 4    Slovakien1.634.464.29
   
Fredag 18. februari 2022
   
Olympiska spelen - Playoffs - 1/2 Finals2022 Odds 1x2
OAR    2 - 1 pen Sverige2.143.872.84
Finland    2 - 0    Slovakien1.474.915.74
   
Onsdag 16. februari 2022
   
Olympiska spelen - Playoffs - 1/4 Finals2022 Odds 1x2
Sverige    2 - 0    Kanada2.234.182.69
Finland    5 - 1    Schweiz1.544.835.32
OAR    3 - 1    Danmark1.355.507.00
USA    2 - 3 pen Slovakien1.694.633.94
   
Tisdag 15. februari 2022
   
Olympiska spelen - Playoffs - 1/8 Finals2022 Odds 1x2
Kanada    7 - 2    Kina1.0219.3235.36
Tjeckien    2 - 4    Schweiz2.014.073.11
Danmark    3 - 2    Lettland1.974.023.29
Slovakien    4 - 0    Tyskland2.274.012.62
   
Söndag 13. februari 2022
   
Olympiska spelen - Group A2022 Odds 1x2
Kina    0 - 5    Kanada29.0816.381.03
USA    3 - 2    Tyskland1.455.015.64
Olympiska spelen - Group C2022 Odds 1x2
Finland    4 - 3 öt Sverige2.093.753.17
Slovakien    5 - 2    Lettland2.154.062.85
   
Lördag 12. februari 2022
   
Olympiska spelen - Group B2022 Odds 1x2
OAR    5 - 6 öt Tjeckien
Schweiz    3 - 5    Danmark1.574.384.64
Olympiska spelen - Group A2022 Odds 1x2
Tyskland    3 - 2    Kina1.187.1311.01
Kanada    2 - 4    USA1.744.513.65
   
Fredag 11. februari 2022
   
Olympiska spelen - Group C2022 Odds 1x2
Lettland    1 - 3    Finland7.735.781.31
Olympiska spelen - Group B2022 Odds 1x2
Tjeckien    2 - 1 pen Schweiz2.213.992.65
Olympiska spelen - Group C2022 Odds 1x2
Sverige    4 - 1    Slovakien1.474.905.16
Olympiska spelen - Group B2022 Odds 1x2
Danmark    0 - 2    OAR9.006.051.29
   
Torsdag 10. februari 2022
   
Olympiska spelen - Group A2022 Odds 1x2
Kanada    5 - 1    Tyskland1.714.323.96
USA    8 - 0    Kina1.236.559.19
Olympiska spelen - Group C2022 Odds 1x2
Finland    6 - 2    Slovakien1.405.026.54
Sverige    3 - 2    Lettland1.365.306.76
   
Onsdag 9. februari 2022
   
Olympiska spelen - Group B2022 Odds 1x2
Tjeckien    1 - 2    Danmark1.415.136.19
OAR    1 - 0    Schweiz1.354.755.05

Flera resultat


februari 2022

Danmark
Finland
Kanada
Kina
Lettland
OAR
Schweiz
Slovakien
Sverige
Tjeckien
Tyskland
USA


Välj säsong


2022
2018
2014
2010
2006
2002
1998
1994


Officiell sajt

Wikipedia

# Lag S V OTW OTL F GM IM Diff P Pts/G V% ØGM ØIM
1. Finland 6 5 1 0 0 22 8 +14 17 2.83 100% 3.50 1.33
2. OAR 6 3 1 1 1 14 10 +4 12 2.00 67% 2.17 1.50
3. Slovakien 6 3 1 0 2 17 10 +7 11 1.83 67% 2.67 1.67
4. Sverige 6 3 0 2 1 13 13 0 11 1.83 50% 2.17 1.83
5. USA 4 3 0 1 0 17 7 +10 10 2.50 75% 4.25 1.50
6. Kanada 5 3 0 0 2 19 9 +10 9 1.80 60% 3.80 1.80
7. Danmark 5 3 0 0 2 11 11 0 9 1.80 60% 2.20 2.20
8. Tjeckien 4 0 2 0 2 11 12 -1 4 1.00 50% 2.25 3.00
9. Schweiz 5 1 0 1 3 9 15 -6 4 0.80 20% 1.80 2.80
10. Tyskland 4 1 0 0 3 6 14 -8 3 0.75 25% 1.50 3.50
11. Lettland 4 0 0 0 4 7 14 -7 0 0.00 0% 1.75 3.50
12. Kina 4 0 0 0 4 4 23 -19 0 0.00 0% 1.00 5.75

-
Säsong Matcher 1 x 2  ¦  1 2  ¦  Över 5.5 Under 5.5 Över 4.5 Under 4.5 Hemfördel
2022Group Stage18 50.0% 16.7% 33.3%  ¦  61.1% 38.9%  ¦  44.4% 55.6% 72.2% 27.8% 22.2%
2022Playoff12 66.7% 16.7% 16.7%  ¦  75.0% 25.0%  ¦  25.0% 75.0% 33.3% 66.7% 50.0%
2018Group Stage18 61.1% 22.2% 16.7%  ¦  72.2% 27.8%  ¦  27.8% 72.2% 38.9% 61.1% 44.4%
2018Playoff12 33.3% 41.7% 25.0%  ¦  50.0% 50.0%  ¦  58.3% 41.7% 58.3% 41.7% 0.0%
2014Group Stage18 50.0% 16.7% 33.3%  ¦  61.1% 38.9%  ¦  50.0% 50.0% 50.0% 50.0% 22.2%
2014Playoff12 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  16.7% 83.3% 33.3% 66.7% 33.3%
2010Group Stage18 61.1% 16.7% 22.2%  ¦  66.7% 33.3%  ¦  61.1% 38.9% 66.7% 33.3% 33.3%
2010Playoff12 58.3% 25.0% 16.7%  ¦  75.0% 25.0%  ¦  50.0% 50.0% 58.3% 41.7% 50.0%
2006Group Stage30 40.0% 13.3% 46.7%  ¦  46.2% 53.8%  ¦  46.7% 53.3% 70.0% 30.0% -7.7%
2006Playoff8 50.0% 0.0% 50.0%  ¦  50.0% 50.0%  ¦  37.5% 62.5% 50.0% 50.0% 0.0%
2002Group Stage24 41.7% 16.7% 41.7%  ¦  50.0% 50.0%  ¦  54.2% 45.8% 70.8% 29.2% 0.0%
2002Place Match11 36.4% 0.0% 63.6%  ¦  36.4% 63.6%  ¦  54.5% 45.5% 81.8% 18.2% -27.3%
1998Playoff11 72.7% 18.2% 9.1%  ¦  90.9% 9.1%  ¦  36.4% 63.6% 72.7% 27.3% 81.8%
1998Group Stage24 66.7% 12.5% 20.8%  ¦  76.2% 23.8%  ¦  58.3% 41.7% 70.8% 29.2% 52.4%
1994Group Stage30 46.7% 13.3% 40.0%  ¦  53.8% 46.2%  ¦  66.7% 33.3% 80.0% 20.0% 7.7%
1994Playoff16 37.5% 31.3% 31.3%  ¦  50.0% 50.0%  ¦  56.3% 43.8% 62.5% 37.5% 0.0%

Klicka rubrikrad för att sortera tabell enligt kolumnen
Låt muspekaren vila över procent (%) för att se värde odds

AnnaBet Power Ratings

Updated 2025-03-23 12:04:11
#Lag Rating
1. Tjeckien 1566
2. Kanada 1557
3. USA 1529
4. Sverige 1526
5. OAR 1492
6. Finland 1472
7. Schweiz 1422
8. Slovakien 1351
9. Tyskland 1325
10. Lettland 1242
11. Danmark 1177
12. Kina 872


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.