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  AFF U16 Championship 2024 @ Indonezja

Group A

# Drużyna SR W R P GF GA Diff Pts Pts/G W% ØGF ØGA
1. Indonezja U16 3 3 0 0 12 1 +11 9 3.00 100% 4.00 0.33
2. Laos U16 3 2 0 1 6 7 -1 6 2.00 67% 2.00 2.33
3. Singapur U16 3 1 0 2 5 5 0 3 1.00 33% 1.67 1.67
4. Filipiny U16 3 0 0 3 0 10 -10 0 0.00 0% 0.00 3.33

Group B
# Drużyna SR W R P GF GA Diff Pts Pts/G W% ØGF ØGA
1. Wietnam U16 3 2 1 0 21 2 +19 7 2.33 67% 7.00 0.67
2. Kambodża U16 3 2 1 0 9 2 +7 7 2.33 67% 3.00 0.67
3. Myanmar U16 3 1 0 2 10 8 +2 3 1.00 33% 3.33 2.67
4. Brunei U16 3 0 0 3 1 29 -28 0 0.00 0% 0.33 9.67

Group C
# Drużyna SR W R P GF GA Diff Pts Pts/G W% ØGF ØGA
1. Australia U16 3 2 1 0 14 0 +14 7 2.33 67% 4.67 0.00
2. Tajlandia U16 3 2 1 0 9 1 +8 7 2.33 67% 3.00 0.33
3. Malezja U16 3 1 0 2 6 5 +1 3 1.00 33% 2.00 1.67
4. East Timor U16 3 0 0 3 0 23 -23 0 0.00 0% 0.00 7.67


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

Wybierz Sezon


2024
2022
2019
2018
2017
2016
2015
2013


Official Site

Wikipedia

środa 3. lipiec 2024
   
AFF U16 Championship - Playoffs - Finals2024 Kursy 1x2
Tajlandia U16    1 - 2 pen Australia U164.383.531.64
AFF U16 Championship - Playoffs - Bronze2024 Kursy 1x2
Indonezja U16    5 - 0    Wietnam U16
   
Poniedziałek 1. lipiec 2024
   
AFF U16 Championship - Playoffs - 1/2 Finals2024 Kursy 1x2
Indonezja U16    3 - 5    Australia U16
Wietnam U16    1 - 2    Tajlandia U16
   
Sobota 29. czerwiec 2024
   
AFF U16 Championship - Group C2024 Kursy 1x2
East Timor U16    0 - 12    Australia U16
Tajlandia U16    3 - 1    Malezja U16
   
Piątek 28. czerwiec 2024
   
AFF U16 Championship - Group B2024 Kursy 1x2
Kambodża U16    6 - 0    Brunei U16
Wietnam U16    5 - 1    Myanmar U16
   
Czwartek 27. czerwiec 2024
   
AFF U16 Championship - Group A2024 Kursy 1x2
Indonezja U16    6 - 1    Laos U16
Filipiny U16    0 - 4    Singapur U16
   
środa 26. czerwiec 2024
   
AFF U16 Championship - Group C2024 Kursy 1x2
Australia U16    2 - 0    Malezja U161.903.803.47
East Timor U16    0 - 6    Tajlandia U16
   
Wtorek 25. czerwiec 2024
   
AFF U16 Championship - Group B2024 Kursy 1x2
Brunei U16    1 - 8    Myanmar U16
Kambodża U16    1 - 1    Wietnam U1616.009.551.09
   
Poniedziałek 24. czerwiec 2024
   
AFF U16 Championship - Group A2024 Kursy 1x2
Indonezja U16    3 - 0    Filipiny U16
Singapur U16    1 - 2    Laos U166.554.751.36
   
Niedziela 23. czerwiec 2024
   
AFF U16 Championship - Group C2024 Kursy 1x2
Malezja U16    5 - 0    East Timor U161.205.157.67
Tajlandia U16    0 - 0    Australia U163.273.392.09
   
Sobota 22. czerwiec 2024
   
AFF U16 Championship - Group B2024 Kursy 1x2
Myanmar U16    1 - 2    Kambodża U16
Wietnam U16    15 - 0    Brunei U16
   
Piątek 21. czerwiec 2024
   
AFF U16 Championship - Group A2024 Kursy 1x2
Indonezja U16    3 - 0    Singapur U16
Laos U16    3 - 0    Filipiny U16

Więcej Wyników


lipiec 2024
czerwiec 2024

Australia U16
Brunei U16
East Timor U16
Filipiny U16
Indonezja U16
Kambodża U16
Laos U16
Malezja U16
Myanmar U16
Singapur U16
Tajlandia U16
Wietnam U16


Wybierz Sezon


2024
2022
2019
2018
2017
2016
2015
2013


Official Site

Wikipedia

# Drużyna SR W R P GF GA Diff Pts Pts/G W% ØGF ØGA
1. Indonezja U16 5 4 0 1 20 6 +14 12 2.40 80% 4.00 1.20
2. Australia U16 5 3 1 0 21 4 +17 10 2.00 80% 4.00 0.80
3. Tajlandia U16 5 3 1 0 12 4 +8 10 2.00 60% 2.40 0.60
4. Wietnam U16 5 2 1 2 22 9 +13 7 1.40 40% 4.40 1.80
5. Kambodża U16 3 2 1 0 9 2 +7 7 2.33 67% 3.00 0.67
6. Laos U16 3 2 0 1 6 7 -1 6 2.00 67% 2.00 2.33
7. Myanmar U16 3 1 0 2 10 8 +2 3 1.00 33% 3.33 2.67
8. Malezja U16 3 1 0 2 6 5 +1 3 1.00 33% 2.00 1.67
9. Singapur U16 3 1 0 2 5 5 0 3 1.00 33% 1.67 1.67
10. Filipiny U16 3 0 0 3 0 10 -10 0 0.00 0% 0.00 3.33
11. East Timor U16 3 0 0 3 0 23 -23 0 0.00 0% 0.00 7.67
12. Brunei U16 3 0 0 3 1 29 -28 0 0.00 0% 0.33 9.67

-
Sezon Gier 1 x 2  ¦  1 2  ¦  Ponad 2.5 Poniżej 2.5 Ponad 1.5 Poniżej 1.5 Home Advantage
2024Group Stage18 55.6% 11.1% 33.3%  ¦  62.5% 37.5%  ¦  83.3% 16.7% 94.4% 5.6% 25.0%
2024Playoffy4 25.0% 25.0% 50.0%  ¦  25.0% 75.0%  ¦  75.0% 25.0% 100.0% 0.0% -50.0%
2022Group Stage18 55.6% 22.2% 22.2%  ¦  71.4% 28.6%  ¦  72.2% 27.8% 94.4% 5.6% 42.9%
2022Playoffy4 50.0% 25.0% 25.0%  ¦  75.0% 25.0%  ¦  25.0% 75.0% 75.0% 25.0% 50.0%
2019Group Stage30 43.3% 20.0% 36.7%  ¦  54.2% 45.8%  ¦  63.3% 36.7% 86.7% 13.3% 8.3%
2019Playoffy4 50.0% 25.0% 25.0%  ¦  75.0% 25.0%  ¦  50.0% 50.0% 75.0% 25.0% 50.0%
2018Group Stage25 64.0% 8.0% 28.0%  ¦  69.6% 30.4%  ¦  88.0% 12.0% 88.0% 12.0% 39.1%
2018Playoffy4 50.0% 25.0% 25.0%  ¦  75.0% 25.0%  ¦  0.0% 100.0% 25.0% 75.0% 50.0%
2017Group Stage30 56.7% 10.0% 33.3%  ¦  63.0% 37.0%  ¦  50.0% 50.0% 80.0% 20.0% 25.9%
2017Playoffy4 75.0% 25.0% 0.0%  ¦  75.0% 25.0%  ¦  25.0% 75.0% 50.0% 50.0% 50.0%
2016Group Stage25 40.0% 16.0% 44.0%  ¦  47.6% 52.4%  ¦  72.0% 28.0% 92.0% 8.0% -4.8%
2016Playoffy4 0.0% 50.0% 50.0%  ¦  25.0% 75.0%  ¦  75.0% 25.0% 75.0% 25.0% -50.0%
2015Group Stage25 52.0% 16.0% 32.0%  ¦  61.9% 38.1%  ¦  64.0% 36.0% 80.0% 20.0% 23.8%
2015Playoffy4 0.0% 0.0% 100.0%  ¦  0.0% 100.0%  ¦  75.0% 25.0% 75.0% 25.0% -100.0%
2013Group Stage20 60.0% 15.0% 25.0%  ¦  70.6% 29.4%  ¦  65.0% 35.0% 90.0% 10.0% 41.2%
2013Playoffy4 25.0% 75.0% 0.0%  ¦  50.0% 50.0%  ¦  25.0% 75.0% 50.0% 50.0% 0.0%

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

AnnaBet Power Ratings

Updated 2025-03-26 10:04:46
#Drużyna Rating
1. Australia U16 1303
2. Tajlandia U16 1265
3. Indonezja U16 1204
4. Malezja U16 1141
5. Wietnam U16 1132
6. Laos U16 1031
7. East Timor U16 937
8. Myanmar U16 927
9. Kambodża U16 866
10. Singapur U16 809
11. Filipiny U16 662
12. Brunei U16 623


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.