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  World Championship Div III 2015 @ Turcja

# Drużyna SR W OTW OTL P GF GA Diff Pts Pts/G W% ØGF ØGA
1. Korea Północna 6 5 1 0 0 50 9 +41 17 2.83 100% 8.17 1.50
2. Turcja 6 5 0 1 0 59 11 +48 16 2.67 83% 9.83 1.67
3. Luksemburg 6 4 0 0 2 39 19 +20 12 2.00 67% 6.50 3.17
4. Hongkong 6 3 0 0 3 30 30 0 9 1.50 50% 5.00 5.00
5. Gruzja 6 1 1 0 4 20 56 -36 5 0.83 33% 3.17 9.33
6. United Arab Emirates 6 1 0 1 4 14 44 -30 4 0.67 17% 2.33 7.17
7. Bośnia i Hercegowina 6 0 0 0 6 3 46 -43 0 0.00 0% 0.50 7.67


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

Wybierz Sezon


2024
2023
2022
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009


Official Site

Wikipedia

Niedziela 12. kwiecień 2015
   
World Championship Div III2015 Kursy 1x2
Turcja    3 - 4 d. Korea Północna
Luksemburg    5 - 2    Hongkong
United Arab Emirates    4 - 5 pen Gruzja
   
Piątek 10. kwiecień 2015
   
Hongkong    0 - 9    Korea Północna
Luksemburg    5 - 7    Turcja
Bośnia i Hercegowina    2 - 5    United Arab Emirates
   
Czwartek 9. kwiecień 2015
   
Korea Północna    5 - 2    Luksemburg
Turcja    10 - 1    Hongkong
Gruzja    4 - 1    Bośnia i Hercegowina
   
Wtorek 7. kwiecień 2015
   
United Arab Emirates    0 - 15    Turcja
Gruzja    3 - 11    Hongkong
Bośnia i Hercegowina    0 - 5    Luksemburg
   
Poniedziałek 6. kwiecień 2015
   
Turcja    13 - 1    Gruzja
Korea Północna    7 - 0    United Arab Emirates
Hongkong    8 - 0    Bośnia i Hercegowina
   
Sobota 4. kwiecień 2015
   
Turcja    11 - 0    Bośnia i Hercegowina
United Arab Emirates    2 - 7    Luksemburg
Gruzja    4 - 12    Korea Północna
   
Piątek 3. kwiecień 2015
   
Hongkong    8 - 3    United Arab Emirates
Luksemburg    15 - 3    Gruzja
Korea Północna    13 - 0    Bośnia i Hercegowina

Więcej Wyników


kwiecień 2015

Bośnia i Hercegowi
Gruzja
Hongkong
Korea Północna
Luksemburg
Turcja
United Arab Emirat


Wybierz Sezon


2024
2023
2022
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009


Official Site

Wikipedia

# Drużyna SR W OTW OTL P GF GA Diff Pts Pts/G W% ØGF ØGA
1. Korea Północna 6 5 1 0 0 50 9 +41 17 2.83 100% 8.17 1.50
2. Turcja 6 5 0 1 0 59 11 +48 16 2.67 83% 9.83 1.67
3. Luksemburg 6 4 0 0 2 39 19 +20 12 2.00 67% 6.50 3.17
4. Hongkong 6 3 0 0 3 30 30 0 9 1.50 50% 5.00 5.00
5. Gruzja 6 1 1 0 4 20 56 -36 5 0.83 33% 3.17 9.33
6. United Arab Emirates 6 1 0 1 4 14 44 -30 4 0.67 17% 2.33 7.17
7. Bośnia i Hercegowina 6 0 0 0 6 3 46 -43 0 0.00 0% 0.50 7.67

-
Sezon Gier 1 x 2  ¦  1 2  ¦  Ponad 5.5 Poniżej 5.5 Ponad 4.5 Poniżej 4.5 Home Advantage
2024Group Stage30 46.7% 6.7% 46.7%  ¦  46.7% 53.3%  ¦  93.3% 6.7% 96.7% 3.3% -6.7%
2023Group Stage25 40.0% 8.0% 52.0%  ¦  48.0% 52.0%  ¦  88.0% 12.0% 92.0% 8.0% -4.0%
2022Group Stage16 50.0% 12.5% 37.5%  ¦  56.3% 43.8%  ¦  100.0% 0.0% 100.0% 0.0% 12.5%
2019Group Stage30 46.7% 6.7% 46.7%  ¦  46.7% 53.3%  ¦  93.3% 6.7% 96.7% 3.3% -6.7%
2018Group Stage21 52.4% 4.8% 42.9%  ¦  52.4% 47.6%  ¦  90.5% 9.5% 90.5% 9.5% 4.8%
2017Group Stage9 44.4% 0.0% 55.6%  ¦  44.4% 55.6%  ¦  77.8% 22.2% 77.8% 22.2% -11.1%
2017Place Match6 83.3% 0.0% 16.7%  ¦  83.3% 16.7%  ¦  83.3% 16.7% 83.3% 16.7% 66.7%
2016Sezon 15 60.0% 0.0% 40.0%  ¦  60.0% 40.0%  ¦  86.7% 13.3% 100.0% 0.0% 20.0%
2015Sezon 21 52.4% 9.5% 38.1%  ¦  52.4% 47.6%  ¦  90.5% 9.5% 100.0% 0.0% 4.8%
2014Sezon 15 60.0% 6.7% 33.3%  ¦  66.7% 33.3%  ¦  86.7% 13.3% 93.3% 6.7% 33.3%
2013Sezon 15 60.0% 0.0% 40.0%  ¦  60.0% 40.0%  ¦  73.3% 26.7% 93.3% 6.7% 20.0%
2012Sezon 9 55.6% 0.0% 44.4%  ¦  55.6% 44.4%  ¦  77.8% 22.2% 100.0% 0.0% 11.1%
2011Sezon 10 50.0% 10.0% 40.0%  ¦  50.0% 50.0%  ¦  100.0% 0.0% 100.0% 0.0% 0.0%
2010Group Stage14 50.0% 0.0% 50.0%  ¦  50.0% 50.0%  ¦  78.6% 21.4% 85.7% 14.3% 0.0%
2009Sezon 10 40.0% 10.0% 50.0%  ¦  50.0% 50.0%  ¦  100.0% 0.0% 100.0% 0.0% 0.0%

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

AnnaBet Power Ratings

Updated 2025-01-01 12:21:24
#Drużyna Rating
1. United Arab Emirates 1095
2. Bośnia i Hercegowina 969
3. Korea Północna 942
4. Gruzja 925
5. Hongkong 884
6. Turcja 774
7. Luksemburg 734


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.