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  World U20 Championship Div II 2025

Group A

# Ekipa GP W OTW OTL L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Litva U20 5 5 0 0 0 39 5 +34 15 3.00 100% 7.80 1.00
2. Romunija U20 5 3 0 0 2 16 15 +1 9 1.80 60% 3.20 3.00
3. Hrvaška U20 5 3 0 0 2 22 26 -4 9 1.80 60% 4.40 5.20
4. Great Britain U20 5 2 0 0 3 11 15 -4 6 1.20 40% 2.20 3.00
5. Kitajska U20 5 2 0 0 3 18 24 -6 6 1.20 40% 3.60 4.80
6. Nizozemska U20 5 0 0 0 5 9 30 -21 0 0.00 0% 1.80 6.00


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Izberite sezono


2025
2024
2023
2022
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011


Official Site

Wikipedia

Nedelja 12. januar 2025
   
World U20 Championship Div II - Group A2025 kvote 1x2
Hrvaška U20    1 - 13    Litva U207.776.481.26
Kitajska U20    6 - 2    Nizozemska U201.415.315.16
Great Britain U20    1 - 2    Romunija U201.724.923.56
   
Petek 10. januar 2025
   
Romunija U20    6 - 4    Hrvaška U2010.077.381.18
Nizozemska U20    1 - 4    Great Britain U2011.917.181.14
Kitajska U20    1 - 8    Litva U2021.008.701.13
   
četrtek 9. januar 2025
   
Hrvaška U20    7 - 2    Nizozemska U201.157.1213.76
Litva U20    4 - 0    Romunija U201.138.7021.00
Great Britain U20    4 - 3    Kitajska U201.565.404.40
   
Torek 7. januar 2025
   
Hrvaška U20    7 - 4    Kitajska U201.207.1810.40
Litva U20    6 - 1    Great Britain U201.515.404.54
Nizozemska U20    2 - 5    Romunija U202.144.532.57
   
Ponedeljek 6. januar 2025
   
Great Britain U20    1 - 3    Hrvaška U201.465.124.69
Romunija U20    3 - 4    Kitajska U202.504.602.15
Litva U20    8 - 2    Nizozemska U20

Več rezultatov


januar 2025

Great Britain U20
Hrvaška U20
Kitajska U20
Litva U20
Nizozemska U20
Romunija U20


Izberite sezono


2025
2024
2023
2022
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011


Official Site

Wikipedia

# Ekipa GP W OTW OTL L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Litva U20 5 5 0 0 0 39 5 +34 15 3.00 100% 7.80 1.00
2. Romunija U20 5 3 0 0 2 16 15 +1 9 1.80 60% 3.20 3.00
3. Hrvaška U20 5 3 0 0 2 22 26 -4 9 1.80 60% 4.40 5.20
4. Great Britain U20 5 2 0 0 3 11 15 -4 6 1.20 40% 2.20 3.00
5. Kitajska U20 5 2 0 0 3 18 24 -6 6 1.20 40% 3.60 4.80
6. Nizozemska U20 5 0 0 0 5 9 30 -21 0 0.00 0% 1.80 6.00

-
Sezona Igre 1 x 2  ¦  1 2  ¦  Nad 5.5 Pod 5.5 Nad 4.5 Pod 4.5 Home Advantage
2025Group Stage15 53.3% 0.0% 46.7%  ¦  53.3% 46.7%  ¦  73.3% 26.7% 80.0% 20.0% 6.7%
2024Group Stage30 60.0% 6.7% 33.3%  ¦  60.0% 40.0%  ¦  56.7% 43.3% 80.0% 20.0% 20.0%
2023Group Stage30 50.0% 10.0% 40.0%  ¦  53.3% 46.7%  ¦  76.7% 23.3% 83.3% 16.7% 6.7%
2022Group Stage25 52.0% 12.0% 36.0%  ¦  56.0% 44.0%  ¦  56.0% 44.0% 72.0% 28.0% 12.0%
2020Group Stage30 56.7% 3.3% 40.0%  ¦  56.7% 43.3%  ¦  80.0% 20.0% 93.3% 6.7% 13.3%
2019Group Stage30 46.7% 10.0% 43.3%  ¦  46.7% 53.3%  ¦  66.7% 33.3% 80.0% 20.0% -6.7%
2018Group Stage30 40.0% 13.3% 46.7%  ¦  53.3% 46.7%  ¦  70.0% 30.0% 83.3% 16.7% 6.7%
2017Group Stage30 50.0% 10.0% 40.0%  ¦  50.0% 50.0%  ¦  83.3% 16.7% 93.3% 6.7% 0.0%
2016Group Stage30 53.3% 10.0% 36.7%  ¦  60.0% 40.0%  ¦  80.0% 20.0% 93.3% 6.7% 20.0%
2015Group Stage30 46.7% 20.0% 33.3%  ¦  60.0% 40.0%  ¦  80.0% 20.0% 86.7% 13.3% 20.0%
2014Group Stage30 50.0% 6.7% 43.3%  ¦  53.3% 46.7%  ¦  73.3% 26.7% 83.3% 16.7% 6.7%
2013Group Stage30 50.0% 3.3% 46.7%  ¦  50.0% 50.0%  ¦  86.7% 13.3% 90.0% 10.0% 0.0%
2012Group Stage30 43.3% 16.7% 40.0%  ¦  56.7% 43.3%  ¦  66.7% 33.3% 76.7% 23.3% 13.3%
2011Group Stage30 63.3% 3.3% 33.3%  ¦  66.7% 33.3%  ¦  93.3% 6.7% 93.3% 6.7% 33.3%

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AnnaBet Power rating

Updated 2025-01-14 12:12:14
#Ekipa Rating
1. Litva U20 1111
2. Kitajska U20 1031
3. Great Britain U20 931
4. Hrvaška U20 928
5. Romunija U20 925
6. Nizozemska U20 780


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.