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  Campionato europeo di calcio Under-19 2015 @ Grecia

Group A

# Squadra PG V X P GF GS Diff Pts Pts/G V% ØGF ØGS
1. Francia U19 3 3 0 0 6 1 +5 9 3.00 100% 2.00 0.33
2. Grecia U19 3 1 1 1 2 2 0 4 1.33 33% 0.67 0.67
3. Austria U19 3 0 2 1 2 3 -1 2 0.67 0% 0.67 1.00
4. Ucraina U19 3 0 1 2 3 7 -4 1 0.33 0% 1.00 2.33

Group B
# Squadra PG V X P GF GS Diff Pts Pts/G V% ØGF ØGS
1. Russia U19 3 1 1 1 5 4 +1 4 1.33 33% 1.67 1.33
2. Spagna U19 3 1 1 1 5 4 +1 4 1.33 33% 1.67 1.33
3. Paesi Bassi U19 3 1 1 1 2 2 0 4 1.33 33% 0.67 0.67
4. Germania U19 3 1 1 1 3 5 -2 4 1.33 33% 1.00 1.67


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Percentuali mouseover (%) per vedere le probabilità di valore

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2024
2023
2022
2019
2018
2017
2016
2015
2014
2013
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2009
2008


Sito ufficiale

Wikipedia

Domenica 19. luglio 2015
   
Campionato europeo di calcio Under-19 - Playoffs - Finals2015 Quote 1x2
Spagna U19    2 - 0    Russia U192.043.313.49
   
Giovedì 16. luglio 2015
   
Campionato europeo di calcio Under-19 - Playoffs - 1/2 Finals2015 Quote 1x2
Francia U19    0 - 2    Spagna U192.593.122.70
Russia U19    4 - 0    Grecia U191.953.253.81
   
Lunedì 13. luglio 2015
   
Campionato europeo di calcio Under-19 - Group B2015 Quote 1x2
Russia U19    2 - 2    Germania U193.913.451.87
Spagna U19    1 - 1    Paesi Bassi U191.663.714.88
   
Domenica 12. luglio 2015
   
Campionato europeo di calcio Under-19 - Group A2015 Quote 1x2
Francia U19    2 - 0    Grecia U192.172.743.88
Ucraina U19    2 - 2    Austria U193.453.372.01
   
Venerdì 10. luglio 2015
   
Campionato europeo di calcio Under-19 - Group B2015 Quote 1x2
Germania U19    1 - 0    Paesi Bassi U192.083.353.38
Spagna U19    1 - 3    Russia U191.514.006.09
   
Giovedì 9. luglio 2015
   
Campionato europeo di calcio Under-19 - Group A2015 Quote 1x2
Grecia U19    0 - 0    Austria U193.073.172.26
Ucraina U19    1 - 3    Francia U194.043.421.86
   
Martedì 7. luglio 2015
   
Campionato europeo di calcio Under-19 - Group B2015 Quote 1x2
Germania U19    0 - 3    Spagna U192.883.292.32
Paesi Bassi U19    1 - 0    Russia U192.473.232.73
   
Lunedì 6. luglio 2015
   
Campionato europeo di calcio Under-19 - Group A2015 Quote 1x2
Austria U19    0 - 1    Francia U194.223.561.78
Grecia U19    2 - 0    Ucraina U192.773.202.45

Ulteriori risultati


luglio 2015

Austria U19
Francia U19
Germania U19
Grecia U19
Paesi Bassi U19
Russia U19
Spagna U19
Ucraina U19


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2024
2023
2022
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008


Sito ufficiale

Wikipedia

# Squadra PG V X P GF GS Diff Pts Pts/G V% ØGF ØGS
1. Spagna U19 5 3 1 1 9 4 +5 10 2.00 60% 1.80 0.80
2. Francia U19 4 3 0 1 6 3 +3 9 2.25 75% 1.50 0.75
3. Russia U19 5 2 1 2 9 6 +3 7 1.40 40% 1.80 1.20
4. Paesi Bassi U19 3 1 1 1 2 2 0 4 1.33 33% 0.67 0.67
5. Germania U19 3 1 1 1 3 5 -2 4 1.33 33% 1.00 1.67
6. Grecia U19 4 1 1 2 2 6 -4 4 1.00 25% 0.50 1.50
7. Austria U19 3 0 2 1 2 3 -1 2 0.67 0% 0.67 1.00
8. Ucraina U19 3 0 1 2 3 7 -4 1 0.33 0% 1.00 2.33

-
Stagione Gare 1 x 2  ¦  1 2  ¦  Più 2.5 Meno 2.5 Più 1.5 Meno 1.5 Il fattore campo
2024Fase a gironi12 33.3% 41.7% 25.0%  ¦  57.1% 42.9%  ¦  66.7% 33.3% 83.3% 16.7% 14.3%
2024Playoffs4 50.0% 50.0% 0.0%  ¦  75.0% 25.0%  ¦  0.0% 100.0% 50.0% 50.0% 50.0%
2023Fase a gironi12 25.0% 33.3% 41.7%  ¦  37.5% 62.5%  ¦  50.0% 50.0% 83.3% 16.7% -25.0%
2023Playoffs3 33.3% 0.0% 66.7%  ¦  33.3% 66.7%  ¦  66.7% 33.3% 66.7% 33.3% -33.3%
2022Fase a gironi12 50.0% 8.3% 41.7%  ¦  54.5% 45.5%  ¦  66.7% 33.3% 75.0% 25.0% 9.1%
2022Playoffs4 50.0% 25.0% 25.0%  ¦  50.0% 50.0%  ¦  50.0% 50.0% 75.0% 25.0% 0.0%
2019Fase a gironi12 33.3% 25.0% 41.7%  ¦  44.4% 55.6%  ¦  58.3% 41.7% 75.0% 25.0% -11.1%
2019Playoffs3 33.3% 33.3% 33.3%  ¦  33.3% 66.7%  ¦  33.3% 66.7% 66.7% 33.3% -33.3%
2018Fase a gironi12 16.7% 16.7% 66.7%  ¦  20.0% 80.0%  ¦  66.7% 33.3% 83.3% 16.7% -60.0%
2018Playoffs4 50.0% 25.0% 25.0%  ¦  50.0% 50.0%  ¦  75.0% 25.0% 100.0% 0.0% 0.0%
2017Fase a gironi12 41.7% 16.7% 41.7%  ¦  50.0% 50.0%  ¦  58.3% 41.7% 83.3% 16.7% 0.0%
2017Playoffs3 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  33.3% 66.7% 33.3% 66.7% 33.3%
2016Fase a gironi12 8.3% 25.0% 66.7%  ¦  11.1% 88.9%  ¦  58.3% 41.7% 91.7% 8.3% -77.8%
2016Playoffs4 25.0% 25.0% 50.0%  ¦  50.0% 50.0%  ¦  100.0% 0.0% 100.0% 0.0% 0.0%
2015Fase a gironi12 33.3% 33.3% 33.3%  ¦  50.0% 50.0%  ¦  41.7% 58.3% 66.7% 33.3% 0.0%
2015Playoffs3 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  33.3% 66.7% 100.0% 0.0% 33.3%
2014Fase a gironi12 33.3% 16.7% 50.0%  ¦  40.0% 60.0%  ¦  66.7% 33.3% 83.3% 16.7% -20.0%
2014Playoffs3 66.7% 33.3% 0.0%  ¦  100.0% 0.0%  ¦  33.3% 66.7% 33.3% 66.7% 100.0%
2013Fase a gironi12 41.7% 16.7% 41.7%  ¦  50.0% 50.0%  ¦  58.3% 41.7% 75.0% 25.0% 0.0%
2013Playoffs3 0.0% 66.7% 33.3%  ¦  33.3% 66.7%  ¦  33.3% 66.7% 66.7% 33.3% -33.3%
2012Fase a gironi12 25.0% 16.7% 58.3%  ¦  30.0% 70.0%  ¦  75.0% 25.0% 91.7% 8.3% -40.0%
2012Playoffs3 33.3% 66.7% 0.0%  ¦  66.7% 33.3%  ¦  33.3% 66.7% 66.7% 33.3% 33.3%
2011Fase a gironi12 41.7% 25.0% 33.3%  ¦  55.6% 44.4%  ¦  50.0% 50.0% 75.0% 25.0% 11.1%
2011Playoffs3 66.7% 33.3% 0.0%  ¦  66.7% 33.3%  ¦  66.7% 33.3% 100.0% 0.0% 33.3%
2010Fase a gironi12 41.7% 16.7% 41.7%  ¦  50.0% 50.0%  ¦  58.3% 41.7% 75.0% 25.0% 0.0%
2010Playoffs3 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  100.0% 0.0% 100.0% 0.0% 33.3%
2009Fase a gironi12 16.7% 41.7% 41.7%  ¦  28.6% 71.4%  ¦  41.7% 58.3% 66.7% 33.3% -42.9%
2009Playoffs3 66.7% 33.3% 0.0%  ¦  100.0% 0.0%  ¦  33.3% 66.7% 100.0% 0.0% 100.0%
2008Fase a gironi12 41.7% 25.0% 33.3%  ¦  55.6% 44.4%  ¦  50.0% 50.0% 66.7% 33.3% 11.1%
2008Playoffs3 33.3% 33.3% 33.3%  ¦  33.3% 66.7%  ¦  33.3% 66.7% 66.7% 33.3% -33.3%

Clicca su ogni colonna per ordinare in ordine decrescente
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AnnaBet Classifiche sulla forza

Aggiornato 2025-03-22 11:31:52
#Squadra Rating
1. Spagna U19 1440
2. Francia U19 1315
3. Russia U19 1234
4. Germania U19 1216
5. Paesi Bassi U19 1213
6. Austria U19 1207
7. Ucraina U19 1156
8. Grecia U19 1041


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.