AnnaBet.com
Benvenuto ospite   Entra   Registro Registrati o entra
Negozio online    Facebook   Twitter   Contattaci

Hockey

           Stati Uniti Russia Finlandia Svezia
Internazionale Australia Austria Bielorussia Canada Danimarca Francia Germania Italia Kazakistan Lettonia Norvegia Polonia Regno Unito Repubblica Ceca Slovacchia Slovenia Spagna Svizzera Ungheria

  International Friendlies Women 2007

Sabato 10. novembre 2007
   
International Friendlies Women2007 Quote 1x2
Svezia W    3 - 5    Canada W
Finlandia W    1 - 2    Stati Uniti W
   
Giovedì 8. novembre 2007
   
Svezia W    0 - 3    Finlandia W
Canada W    6 - 3    Stati Uniti W
   
Mercoledì 7. novembre 2007
   
Svezia W    0 - 4    Stati Uniti W
Canada W    4 - 1    Finlandia W
   
Martedì 6. novembre 2007
   
Svezia W    0 - 8    Canada W
   
Domenica 18. febbraio 2007
   
Svezia W    0 - 1    Finlandia W
Russia W    5 - 3    Germania W
   
Sabato 17. febbraio 2007
   
Svezia W    2 - 1    Russia W
Finlandia W    2 - 1    Germania W
   
Venerdì 16. febbraio 2007
   
Germania W    0 - 5    Svezia W
Russia W    1 - 5    Finlandia W

Ulteriori risultati


novembre 2007
febbraio 2007

Canada W
Finlandia W
Germania W
Russia W
Stati Uniti W
Svezia W


Scegli la stagione


2025
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2009
2008
2007
2006
2005
2004
2003


-
Stagione Gare 1 x 2  ¦  1 2  ¦  Più 5.5 Meno 5.5 Più 4.5 Meno 4.5 Il fattore campo
2025Stagione regolare2 50.0% 50.0% 0.0%  ¦  50.0% 50.0%  ¦  0.0% 100.0% 0.0% 100.0% 0.0%
2024Stagione regolare36 44.4% 25.0% 30.6%  ¦  52.8% 47.2%  ¦  36.1% 63.9% 47.2% 52.8% 5.6%
2024Playoffs1 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  0.0% 100.0% 0.0% 100.0% 100.0%
2023Stagione regolare41 43.9% 14.6% 41.5%  ¦  51.2% 48.8%  ¦  43.9% 56.1% 51.2% 48.8% 2.4%
2022Stagione regolare26 38.5% 19.2% 42.3%  ¦  46.2% 53.8%  ¦  46.2% 53.8% 73.1% 26.9% -7.7%
2021Stagione regolare30 46.7% 16.7% 36.7%  ¦  53.3% 46.7%  ¦  53.3% 46.7% 63.3% 36.7% 6.7%
2020Stagione regolare22 40.9% 18.2% 40.9%  ¦  50.0% 50.0%  ¦  40.9% 59.1% 40.9% 59.1% 0.0%
2019Stagione regolare77 50.6% 9.1% 40.3%  ¦  53.2% 46.8%  ¦  28.6% 71.4% 53.2% 46.8% 6.5%
2018Stagione regolare87 44.8% 14.9% 40.2%  ¦  52.9% 47.1%  ¦  39.1% 60.9% 57.5% 42.5% 5.7%
2017Stagione regolare95 47.4% 16.8% 35.8%  ¦  54.7% 45.3%  ¦  33.7% 66.3% 46.3% 53.7% 9.5%
2016Stagione regolare87 52.9% 11.5% 35.6%  ¦  59.8% 40.2%  ¦  41.4% 58.6% 57.5% 42.5% 19.5%
2015Stagione regolare78 50.0% 11.5% 38.5%  ¦  56.4% 43.6%  ¦  30.8% 69.2% 46.2% 53.8% 12.8%
2014Stagione regolare47 42.6% 10.6% 46.8%  ¦  51.1% 48.9%  ¦  40.4% 59.6% 66.0% 34.0% 2.1%
2013Stagione regolare40 52.5% 7.5% 40.0%  ¦  57.5% 42.5%  ¦  27.5% 72.5% 45.0% 55.0% 15.0%
2012Stagione regolare26 50.0% 0.0% 50.0%  ¦  50.0% 50.0%  ¦  30.8% 69.2% 42.3% 57.7% 0.0%
2011Stagione regolare12 50.0% 8.3% 41.7%  ¦  50.0% 50.0%  ¦  25.0% 75.0% 41.7% 58.3% 0.0%
2009Stagione regolare13 53.8% 7.7% 38.5%  ¦  53.8% 46.2%  ¦  23.1% 76.9% 53.8% 46.2% 7.7%
2008Stagione regolare8 37.5% 12.5% 50.0%  ¦  50.0% 50.0%  ¦  50.0% 50.0% 50.0% 50.0% 0.0%
2007Stagione regolare13 38.5% 0.0% 61.5%  ¦  38.5% 61.5%  ¦  38.5% 61.5% 53.8% 46.2% -23.1%
2006Stagione regolare3 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  33.3% 66.7% 33.3% 66.7% 33.3%
2005Stagione regolare2 0.0% 0.0% 100.0%  ¦  0.0% 100.0%  ¦  50.0% 50.0% 50.0% 50.0% -100.0%
2004Stagione regolare3 66.7% 33.3% 0.0%  ¦  66.7% 33.3%  ¦  66.7% 33.3% 66.7% 33.3% 33.3%
2003Stagione regolare10 40.0% 30.0% 30.0%  ¦  70.0% 30.0%  ¦  60.0% 40.0% 60.0% 40.0% 40.0%

Clicca su ogni colonna per ordinare in ordine decrescente
Percentuali mouseover (%) per vedere le probabilità di valore

AnnaBet Classifiche sulla forza

Aggiornato 2025-02-16 12:07:37
#Squadra Rating
1. Canada W 1779
2. Stati Uniti W 1754
3. Finlandia W 1288
4. Svezia W 1220
5. Russia W 1204
6. Germania W 1107


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.