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  U17 World Cup 2015 @ Chile

Group A

# Team GP W T L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Nigeria U17 3 2 0 1 8 3 +5 6 2.00 67% 2.67 1.00
2. Croatia U17 3 1 2 0 5 4 +1 5 1.67 33% 1.67 1.33
3. Chile U17 3 1 1 1 6 7 -1 4 1.33 33% 2.00 2.33
4. USA U17 3 0 1 2 3 8 -5 1 0.33 0% 1.00 2.67

Group B
# Team GP W T L GF GA Diff Pts Pts/G W% ØGF ØGA
1. South Korea U17 3 2 1 0 2 0 +2 7 2.33 67% 0.67 0.00
2. Brazil U17 3 2 0 1 4 2 +2 6 2.00 67% 1.33 0.67
3. England U17 3 0 2 1 1 2 -1 2 0.67 0% 0.33 0.67
4. Guinea U17 3 0 1 2 2 5 -3 1 0.33 0% 0.67 1.67

Group C
# Team GP W T L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Mexico U17 3 2 1 0 4 1 +3 7 2.33 67% 1.33 0.33
2. Germany U17 3 2 0 1 9 3 +6 6 2.00 67% 3.00 1.00
3. Australia U17 3 1 1 1 3 5 -2 4 1.33 33% 1.00 1.67
4. Argentina U17 3 0 0 3 1 8 -7 0 0.00 0% 0.33 2.67

Group D
# Team GP W T L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Mali U17 3 2 1 0 5 1 +4 7 2.33 67% 1.67 0.33
2. Ecuador U17 3 2 0 1 6 3 +3 6 2.00 67% 2.00 1.00
3. Belgium U17 3 1 1 1 2 3 -1 4 1.33 33% 0.67 1.00
4. Honduras U17 3 0 0 3 2 8 -6 0 0.00 0% 0.67 2.67

Group E
# Team GP W T L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Russia U17 3 2 1 0 5 1 +4 7 2.33 67% 1.67 0.33
2. Costa Rica U17 3 1 1 1 4 4 0 4 1.33 33% 1.33 1.33
3. North Korea U17 3 1 1 1 3 4 -1 4 1.33 33% 1.00 1.33
4. South Africa U17 3 0 1 2 2 5 -3 1 0.33 0% 0.67 1.67

Group F
# Team GP W T L GF GA Diff Pts Pts/G W% ØGF ØGA
1. France U17 3 3 0 0 14 4 +10 9 3.00 100% 4.67 1.33
2. New Zealand U17 3 1 1 1 3 7 -4 4 1.33 33% 1.00 2.33
3. Paraguay U17 3 1 0 2 8 7 +1 3 1.00 33% 2.67 2.33
4. Syria U17 3 0 1 2 1 8 -7 1 0.33 0% 0.33 2.67


Click on any column to sort table
Mouseover percentages (%) to see value odds

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Official Site

Wikipedia

Sunday 8. November 2015
   
U17 World Cup - Playoffs - Finals2015 Odds 1x2
Mali U17    0 - 2    Nigeria U173.203.382.03
U17 World Cup - Playoffs - Bronze2015 Odds 1x2
Belgium U17    3 - 2    Mexico U173.803.491.80
   
Thursday 5. November 2015
   
U17 World Cup - Playoffs - 1/2 Finals2015 Odds 1x2
Mexico U17    2 - 4    Nigeria U175.363.981.50
Mali U17    3 - 1    Belgium U171.673.635.25
   
Monday 2. November 2015
   
U17 World Cup - Playoffs - 1/4 Finals2015 Odds 1x2
Belgium U17    1 - 0    Costa Rica U172.213.153.05
Ecuador U17    0 - 2    Mexico U173.223.462.02
   
Sunday 1. November 2015
   
Croatia U17    0 - 1    Mali U172.793.282.39
Brazil U17    0 - 3    Nigeria U174.804.011.54
   
Friday 30. October 2015
   
U17 World Cup - Playoffs - 1/8 Finals2015 Odds 1x2
France U17    0 - 1 pen Costa Rica U171.146.5113.84
Russia U17    1 - 4    Ecuador U172.213.153.03
   
Thursday 29. October 2015
   
Mali U17    3 - 0    North Korea U171.364.598.35
Croatia U17    2 - 0    Germany U174.303.551.69
Nigeria U17    6 - 0    Australia U171.205.5311.77
South Korea U17    0 - 2    Belgium U172.203.103.14
   
Wednesday 28. October 2015
   
Brazil U17    1 - 0    New Zealand U171.126.6417.02
Mexico U17    4 - 1    Chile U171.883.453.59
   
Sunday 25. October 2015
   
U17 World Cup - Group E2015 Odds 1x2
Costa Rica U17    1 - 2    North Korea U172.283.342.78
Russia U17    2 - 0    South Africa U171.773.484.05
U17 World Cup - Group F2015 Odds 1x2
Paraguay U17    1 - 2    New Zealand U171.136.5015.30
France U17    4 - 0    Syria U171.098.0916.59
   
Saturday 24. October 2015
   
U17 World Cup - Group C2015 Odds 1x2
Argentina U17    1 - 2    Australia U171.733.584.15
Germany U17    1 - 2    Mexico U171.613.604.94
U17 World Cup - Group D2015 Odds 1x2
Mali U17    3 - 0    Honduras U171.185.8413.19
Ecuador U17    2 - 0    Belgium U172.773.122.40
U17 World Cup - Group A2015 Odds 1x2
Croatia U17    2 - 1    Nigeria U172.793.352.25
USA U17    1 - 4    Chile U173.293.451.95
   
Friday 23. October 2015
   
U17 World Cup - Group B2015 Odds 1x2
Guinea U17    1 - 3    Brazil U174.693.711.64
South Korea U17    0 - 0    England U172.873.202.30
U17 World Cup - Group E2015 Odds 1x2
Russia U17    1 - 1    Costa Rica U171.713.454.54
U17 World Cup - Group F2015 Odds 1x2
Paraguay U17    3 - 4    France U178.984.891.28
   
Thursday 22. October 2015
   
U17 World Cup - Group E2015 Odds 1x2
South Africa U17    1 - 1    North Korea U172.013.323.41
U17 World Cup - Group F2015 Odds 1x2
New Zealand U17    0 - 0    Syria U174.483.771.67
U17 World Cup - Group C2015 Odds 1x2
Argentina U17    0 - 4    Germany U174.113.591.74
U17 World Cup - Group D2015 Odds 1x2
Ecuador U17    1 - 2    Mali U173.753.481.86
   
Wednesday 21. October 2015
   
U17 World Cup - Group C2015 Odds 1x2
Australia U17    0 - 0    Mexico U1710.505.931.19
U17 World Cup - Group D2015 Odds 1x2
Belgium U17    2 - 1    Honduras U171.503.775.87
U17 World Cup - Group A2015 Odds 1x2
Chile U17    1 - 5    Nigeria U173.283.282.07
U17 World Cup - Group B2015 Odds 1x2
South Korea U17    1 - 0    Guinea U172.193.193.03
   
Tuesday 20. October 2015
   
U17 World Cup - Group A2015 Odds 1x2
USA U17    2 - 2    Croatia U174.833.711.62
U17 World Cup - Group B2015 Odds 1x2
England U17    0 - 1    Brazil U172.733.242.36
U17 World Cup - Group E2015 Odds 1x2
North Korea U17    0 - 2    Russia U173.923.381.84
U17 World Cup - Group F2015 Odds 1x2
Syria U17    1 - 4    Paraguay U1712.985.071.25
   
Monday 19. October 2015
   
U17 World Cup - Group E2015 Odds 1x2
South Africa U17    1 - 2    Costa Rica U171.933.263.73
U17 World Cup - Group F2015 Odds 1x2
New Zealand U17    1 - 6    France U1731.2612.391.02
   
Sunday 18. October 2015
   
U17 World Cup - Group C2015 Odds 1x2
Mexico U17    2 - 0    Argentina U172.773.142.36
U17 World Cup - Group D2015 Odds 1x2
Honduras U17    1 - 3    Ecuador U174.293.431.74
U17 World Cup - Group C2015 Odds 1x2
Australia U17    1 - 4    Germany U1711.675.641.19
U17 World Cup - Group D2015 Odds 1x2
Belgium U17    0 - 0    Mali U172.373.202.76
U17 World Cup - Group A2015 Odds 1x2
Chile U17    1 - 1    Croatia U172.583.262.46
   
Saturday 17. October 2015
   
U17 World Cup - Group B2015 Odds 1x2
Brazil U17    0 - 1    South Korea U171.424.146.09

More Results


November 2015
October 2015

Argentina U17
Australia U17
Belgium U17
Brazil U17
Chile U17
Costa Rica U17
Croatia U17
Ecuador U17
England U17
France U17
Germany U17
Guinea U17
Honduras U17
Mali U17
Mexico U17
New Zealand U17
Nigeria U17
North Korea U17
Paraguay U17
Russia U17
South Africa U17
South Korea U17
Syria U17
USA U17


Select Season


2023
2019
2017
2015
2013
2011
2009
2007
2005
2003
2001
1999
1997
1995
1993
1991


Official Site

Wikipedia

# Team GP W T L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Nigeria U17 6 5 0 1 21 5 +16 15 2.50 83% 3.50 0.83
2. Mali U17 6 5 0 1 12 4 +8 15 2.50 83% 2.00 0.67
3. Belgium U17 6 4 0 2 9 8 +1 12 2.00 67% 1.50 1.33
4. France U17 4 3 0 0 14 5 +9 10 2.50 75% 3.50 1.00
5. Mexico U17 6 3 1 2 12 9 +3 10 1.67 50% 2.00 1.50
6. Ecuador U17 5 3 0 2 10 6 +4 9 1.80 60% 2.00 1.20
7. Brazil U17 5 3 0 2 5 5 0 9 1.80 60% 1.00 1.00
8. Croatia U17 5 2 2 1 7 5 +2 8 1.60 40% 1.40 1.00
9. Russia U17 4 2 1 1 6 5 +1 7 1.75 50% 1.50 1.25
10. South Korea U17 4 2 1 1 2 2 0 7 1.75 50% 0.50 0.50
11. Germany U17 4 2 0 2 9 5 +4 6 1.50 50% 2.25 1.25
12. Costa Rica U17 5 1 1 2 5 5 0 6 1.20 40% 0.80 1.00
13. Chile U17 4 1 1 2 7 11 -4 4 1.00 25% 1.75 2.75
14. North Korea U17 4 1 1 2 3 7 -4 4 1.00 25% 0.75 1.75
15. New Zealand U17 4 1 1 2 3 8 -5 4 1.00 25% 0.75 2.00
16. Australia U17 4 1 1 2 3 11 -8 4 1.00 25% 0.75 2.75
17. Paraguay U17 3 1 0 2 8 7 +1 3 1.00 33% 2.67 2.33
18. England U17 3 0 2 1 1 2 -1 2 0.67 0% 0.33 0.67
19. Guinea U17 3 0 1 2 2 5 -3 1 0.33 0% 0.67 1.67
20. South Africa U17 3 0 1 2 2 5 -3 1 0.33 0% 0.67 1.67
21. USA U17 3 0 1 2 3 8 -5 1 0.33 0% 1.00 2.67
22. Syria U17 3 0 1 2 1 8 -7 1 0.33 0% 0.33 2.67
23. Honduras U17 3 0 0 3 2 8 -6 0 0.00 0% 0.67 2.67
24. Argentina U17 3 0 0 3 1 8 -7 0 0.00 0% 0.33 2.67

-
Season Games 1 x 2  ¦  1 2  ¦  Over 2.5 Under 2.5 Over 1.5 Under 1.5 Home Advantage
2023Group Stage36 44.4% 13.9% 41.7%  ¦  51.6% 48.4%  ¦  72.2% 27.8% 91.7% 8.3% 3.2%
2023Playoffs16 43.8% 25.0% 31.3%  ¦  62.5% 37.5%  ¦  68.8% 31.3% 75.0% 25.0% 25.0%
2019Group Stage36 44.4% 11.1% 44.4%  ¦  50.0% 50.0%  ¦  72.2% 27.8% 83.3% 16.7% 0.0%
2019Playoffs16 31.3% 6.3% 62.5%  ¦  37.5% 62.5%  ¦  62.5% 37.5% 81.3% 18.8% -25.0%
2017Group Stage36 44.4% 13.9% 41.7%  ¦  51.6% 48.4%  ¦  72.2% 27.8% 88.9% 11.1% 3.2%
2017Playoffs16 50.0% 6.3% 43.8%  ¦  56.3% 43.8%  ¦  81.3% 18.8% 93.8% 6.3% 12.5%
2015Group Stage36 25.0% 25.0% 50.0%  ¦  33.3% 66.7%  ¦  55.6% 44.4% 80.6% 19.4% -33.3%
2015Playoffs16 50.0% 6.3% 43.8%  ¦  50.0% 50.0%  ¦  50.0% 50.0% 75.0% 25.0% 0.0%
2013Group Stage36 41.7% 19.4% 38.9%  ¦  51.7% 48.3%  ¦  63.9% 36.1% 77.8% 22.2% 3.4%
2013Playoffs16 50.0% 6.3% 43.8%  ¦  50.0% 50.0%  ¦  75.0% 25.0% 93.8% 6.3% 0.0%
2011Group Stage36 41.7% 25.0% 33.3%  ¦  55.6% 44.4%  ¦  52.8% 47.2% 77.8% 22.2% 11.1%
2011Playoffs16 56.3% 6.3% 37.5%  ¦  62.5% 37.5%  ¦  68.8% 31.3% 100.0% 0.0% 25.0%
2009Group Stage36 52.8% 19.4% 27.8%  ¦  65.5% 34.5%  ¦  44.4% 55.6% 69.4% 30.6% 31.0%
2009Playoffs16 37.5% 31.3% 31.3%  ¦  53.3% 46.7%  ¦  62.5% 37.5% 81.3% 18.8% 6.7%
2007Group Stage36 41.7% 19.4% 38.9%  ¦  51.7% 48.3%  ¦  61.1% 38.9% 80.6% 19.4% 3.4%
2007Playoffs16 50.0% 31.3% 18.8%  ¦  62.5% 37.5%  ¦  43.8% 56.3% 87.5% 12.5% 25.0%
2005Group Stage24 20.8% 25.0% 54.2%  ¦  27.8% 72.2%  ¦  54.2% 45.8% 91.7% 8.3% -44.4%
2005Playoffs8 50.0% 25.0% 25.0%  ¦  62.5% 37.5%  ¦  62.5% 37.5% 100.0% 0.0% 25.0%
2003Group Stage24 25.0% 29.2% 45.8%  ¦  35.3% 64.7%  ¦  58.3% 41.7% 91.7% 8.3% -29.4%
2003Playoffs8 62.5% 25.0% 12.5%  ¦  62.5% 37.5%  ¦  37.5% 62.5% 87.5% 12.5% 25.0%
2001Group Stage24 16.7% 8.3% 75.0%  ¦  18.2% 81.8%  ¦  62.5% 37.5% 79.2% 20.8% -63.6%
2001Playoffs8 50.0% 12.5% 37.5%  ¦  62.5% 37.5%  ¦  50.0% 50.0% 87.5% 12.5% 25.0%
1999Group Stage24 37.5% 29.2% 33.3%  ¦  52.9% 47.1%  ¦  54.2% 45.8% 70.8% 29.2% 5.9%
1999Playoffs8 25.0% 50.0% 25.0%  ¦  37.5% 62.5%  ¦  62.5% 37.5% 75.0% 25.0% -25.0%
1997Group Stage24 37.5% 12.5% 50.0%  ¦  42.9% 57.1%  ¦  66.7% 33.3% 83.3% 16.7% -14.3%
1997Playoffs8 50.0% 12.5% 37.5%  ¦  62.5% 37.5%  ¦  75.0% 25.0% 87.5% 12.5% 25.0%
1995Group Stage24 54.2% 16.7% 29.2%  ¦  65.0% 35.0%  ¦  50.0% 50.0% 83.3% 16.7% 30.0%
1995Playoffs8 62.5% 0.0% 37.5%  ¦  62.5% 37.5%  ¦  75.0% 25.0% 100.0% 0.0% 25.0%
1993Group Stage24 29.2% 20.8% 50.0%  ¦  36.8% 63.2%  ¦  66.7% 33.3% 87.5% 12.5% -26.3%
1993Playoffs8 50.0% 25.0% 25.0%  ¦  75.0% 25.0%  ¦  75.0% 25.0% 87.5% 12.5% 50.0%
1991Group Stage24 33.3% 20.8% 45.8%  ¦  42.1% 57.9%  ¦  45.8% 54.2% 62.5% 37.5% -15.8%
1991Playoffs8 25.0% 37.5% 37.5%  ¦  25.0% 75.0%  ¦  37.5% 62.5% 62.5% 37.5% -50.0%

Click on any column to sort table
Mouseover percentages (%) to see value odds

AnnaBet Power Ratings

Updated 2025-04-02 12:15:46
#Team Rating
1. France U17 1587
2. Germany U17 1510
3. England U17 1473
4. Mali U17 1456
5. Brazil U17 1449
6. USA U17 1360
7. Mexico U17 1335
8. Argentina U17 1280
9. Ecuador U17 1276
10. Croatia U17 1254
11. New Zealand U17 1226
12. Belgium U17 1220
13. Costa Rica U17 1214
14. Russia U17 1213
15. Nigeria U17 1192
16. Honduras U17 1187
17. Australia U17 1166
18. South Korea U17 1109
19. Paraguay U17 1097
20. North Korea U17 1085
21. Guinea U17 1065
22. South Africa U17 1039
23. Chile U17 983
24. Syria U17 965


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.


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