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  AFF U19 Championship 2015 @ Laos

Group A

# Team GP W T L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Thailand U19 4 4 0 0 18 2 +16 12 3.00 100% 4.50 0.50
2. Laos U19 4 2 1 1 9 3 +6 7 1.75 50% 2.25 0.75
3. Cambodia U19 4 2 1 1 6 7 -1 7 1.75 50% 1.50 1.75
4. Philippines U19 4 1 0 3 4 9 -5 3 0.75 25% 1.00 2.25
5. Brunei U19 4 0 0 4 2 18 -16 0 0.00 0% 0.50 4.50

Group B
# Team GP W T L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Vietnam U19 4 3 1 0 10 0 +10 10 2.50 75% 2.50 0.00
2. Malaysia U19 4 2 1 1 6 2 +4 7 1.75 50% 1.50 0.50
3. Myanmar U19 4 2 1 1 3 3 0 7 1.75 50% 0.75 0.75
4. Timor-Leste U19 4 0 2 2 3 6 -3 2 0.50 0% 0.75 1.50
5. Singapore U19 4 0 1 3 1 12 -11 1 0.25 0% 0.25 3.00


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

Select Season


2024
2022
2019
2018
2017
2016
2015
2014
2013


Official Site

Wikipedia

Friday 4. September 2015
   
AFF U19 Championship - Playoffs - Finals2015 Odds 1x2
Thailand U19    6 - 0    Vietnam U191.643.944.36
AFF U19 Championship - Playoffs - Bronze2015 Odds 1x2
Laos U19    2 - 1 pen Malaysia U193.093.422.06
   
Wednesday 2. September 2015
   
AFF U19 Championship - Playoffs - 1/2 Finals2015 Odds 1x2
Laos U19    0 - 4    Vietnam U194.593.841.72
Thailand U19    5 - 0    Malaysia U191.334.637.13
   
Monday 31. August 2015
   
AFF U19 Championship - Group B2015 Odds 1x2
Myanmar U19    0 - 2    Vietnam U194.593.831.61
Timor-Leste U19    1 - 1    Singapore U191.673.894.09
   
Sunday 30. August 2015
   
AFF U19 Championship - Group A2015 Odds 1x2
Laos U19    3 - 1    Philippines U191.186.1111.32
Thailand U19    6 - 0    Cambodia U191.225.988.02
   
Saturday 29. August 2015
   
AFF U19 Championship - Group B2015 Odds 1x2
Malaysia U19    0 - 1    Myanmar U191.723.633.99
Singapore U19    0 - 6    Vietnam U1914.509.501.09
   
Friday 28. August 2015
   
AFF U19 Championship - Group A2015 Odds 1x2
Brunei U19    0 - 6    Thailand U1985.0026.671.03
Philippines U19    0 - 1    Cambodia U197.915.661.23
   
Thursday 27. August 2015
   
AFF U19 Championship - Group B2015 Odds 1x2
Vietnam U19    0 - 0    Malaysia U191.673.754.12
Myanmar U19    1 - 1    Timor-Leste U191.255.587.81
   
Wednesday 26. August 2015
   
AFF U19 Championship - Group A2015 Odds 1x2
Laos U19    5 - 0    Brunei U191.0211.7520.28
Thailand U19    4 - 1    Philippines U191.0214.0633.94
   
Tuesday 25. August 2015
   
AFF U19 Championship - Group B2015 Odds 1x2
Malaysia U19    4 - 0    Singapore U191.583.774.78
Timor-Leste U19    0 - 2    Vietnam U1926.0017.001.02
   
Monday 24. August 2015
   
AFF U19 Championship - Group A2015 Odds 1x2
Laos U19    1 - 2    Thailand U197.775.451.25
Cambodia U19    5 - 1    Brunei U191.1010.2511.00
   
Sunday 23. August 2015
   
AFF U19 Championship - Group B2015 Odds 1x2
Malaysia U19    2 - 1    Timor-Leste U191.107.4715.75
Singapore U19    0 - 1    Myanmar U196.554.801.37
   
Saturday 22. August 2015
   
AFF U19 Championship - Group A2015 Odds 1x2
Cambodia U19    0 - 0    Laos U193.604.101.70
Philippines U19    2 - 1    Brunei U191.314.996.51

More Results


September 2015
August 2015

Brunei U19
Cambodia U19
Laos U19
Malaysia U19
Myanmar U19
Philippines U19
Singapore U19
Thailand U19
Timor-Leste U19
Vietnam U19


Select Season


2024
2022
2019
2018
2017
2016
2015
2014
2013


Official Site

Wikipedia

# Team GP W T L GF GA Diff Pts Pts/G W% ØGF ØGA
1. Thailand U19 6 6 0 0 29 2 +27 18 3.00 100% 4.83 0.33
2. Vietnam U19 6 4 1 1 14 6 +8 13 2.17 67% 2.33 1.00
3. Laos U19 6 2 1 2 11 8 +3 7 1.17 50% 1.67 1.33
4. Myanmar U19 4 2 1 1 3 3 0 7 1.75 50% 0.75 0.75
5. Cambodia U19 4 2 1 1 6 7 -1 7 1.75 50% 1.50 1.75
6. Malaysia U19 6 2 1 2 7 9 -2 7 1.17 33% 1.17 1.33
7. Philippines U19 4 1 0 3 4 9 -5 3 0.75 25% 1.00 2.25
8. Timor-Leste U19 4 0 2 2 3 6 -3 2 0.50 0% 0.75 1.50
9. Singapore U19 4 0 1 3 1 12 -11 1 0.25 0% 0.25 3.00
10. Brunei U19 4 0 0 4 2 18 -16 0 0.00 0% 0.50 4.50

-
Season Games 1 x 2  ¦  1 2  ¦  Over 2.5 Under 2.5 Over 1.5 Under 1.5 Home Advantage
2024Group Stage15 46.7% 20.0% 33.3%  ¦  58.3% 41.7%  ¦  46.7% 53.3% 86.7% 13.3% 16.7%
2024Playoffs4 50.0% 25.0% 25.0%  ¦  75.0% 25.0%  ¦  0.0% 100.0% 25.0% 75.0% 50.0%
2022Group Stage25 36.0% 16.0% 48.0%  ¦  42.9% 57.1%  ¦  60.0% 40.0% 72.0% 28.0% -14.3%
2022Playoffs4 25.0% 25.0% 50.0%  ¦  50.0% 50.0%  ¦  25.0% 75.0% 100.0% 0.0% 0.0%
2019Group Stage30 46.7% 10.0% 43.3%  ¦  51.9% 48.1%  ¦  66.7% 33.3% 76.7% 23.3% 3.7%
2019Playoffs4 50.0% 25.0% 25.0%  ¦  50.0% 50.0%  ¦  75.0% 25.0% 75.0% 25.0% 0.0%
2018Group Stage25 52.0% 16.0% 32.0%  ¦  61.9% 38.1%  ¦  68.0% 32.0% 80.0% 20.0% 23.8%
2018Playoffs4 0.0% 25.0% 75.0%  ¦  25.0% 75.0%  ¦  50.0% 50.0% 75.0% 25.0% -50.0%
2017Group Stage25 44.0% 8.0% 48.0%  ¦  47.8% 52.2%  ¦  80.0% 20.0% 96.0% 4.0% -4.3%
2017Playoffs4 50.0% 50.0% 0.0%  ¦  75.0% 25.0%  ¦  25.0% 75.0% 50.0% 50.0% 50.0%
2016Group Stage25 36.0% 12.0% 52.0%  ¦  40.9% 59.1%  ¦  84.0% 16.0% 96.0% 4.0% -18.2%
2016Playoffs4 75.0% 0.0% 25.0%  ¦  75.0% 25.0%  ¦  100.0% 0.0% 100.0% 0.0% 50.0%
2015Group Stage20 40.0% 20.0% 40.0%  ¦  50.0% 50.0%  ¦  55.0% 45.0% 75.0% 25.0% 0.0%
2015Playoffs4 50.0% 25.0% 25.0%  ¦  75.0% 25.0%  ¦  75.0% 25.0% 100.0% 0.0% 50.0%
2014Group Stage6 50.0% 0.0% 50.0%  ¦  50.0% 50.0%  ¦  83.3% 16.7% 83.3% 16.7% 0.0%
2014Playoffs4 25.0% 0.0% 75.0%  ¦  25.0% 75.0%  ¦  50.0% 50.0% 50.0% 50.0% -50.0%
2013Group Stage25 60.0% 16.0% 24.0%  ¦  71.4% 28.6%  ¦  84.0% 16.0% 96.0% 4.0% 42.9%
2013Playoffs4 25.0% 25.0% 50.0%  ¦  50.0% 50.0%  ¦  25.0% 75.0% 50.0% 50.0% 0.0%

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

AnnaBet Power Ratings

Updated 2025-04-01 10:58:25
#Team Rating
1. Malaysia U19 1211
2. Thailand U19 1154
3. Vietnam U19 1131
4. Laos U19 951
5. Myanmar U19 945
6. Cambodia U19 864
7. Timor-Leste U19 858
8. Singapore U19 763
9. Philippines U19 703
10. Brunei U19 599


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.