Merdeka Tournament 1968

Archiwum spotkań

#	Drużyna	SR	W	R	P	GF	GA	Diff	Pts	Pts/G	W%	ØGF	ØGA
1.	Korea Południowa	6	5	0	1	12	8	+4	15	2.50	83%	2.00	1.33
2.	Malezja	6	4	2	0	15	4	+11	14	2.33	67%	2.50	0.67
3.	Indonezja	5	4	0	1	26	5	+21	12	2.40	80%	5.20	1.00
4.	Myanmar	7	3	2	2	10	8	+2	11	1.57	43%	1.43	1.14
5.	Indie	7	3	1	3	9	8	+1	10	1.43	43%	1.29	1.14
6.	Japonia	6	3	0	3	5	12	-7	9	1.50	50%	0.83	2.00
7.	Wietnam	5	2	0	3	8	13	-5	6	1.20	40%	1.60	2.60
8.	Tajlandia	7	1	2	4	6	11	-5	5	0.71	14%	0.86	1.57
9.	Hongkong	5	0	3	2	3	8	-5	3	0.60	0%	0.60	1.60
10.	Tajwan	4	1	0	3	4	13	-9	3	0.75	25%	1.00	3.25
11.	Singapur	4	0	0	4	3	11	-8	0	0.00	0%	0.75	2.75

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Niedziela 25. sierpień 1968

Merdeka Tournament		1968	Kursy 1x2
Malezja	3 - 0	Myanmar

Piątek 23. sierpień 1968

Japonia	2 - 1	Tajlandia
Korea Południowa	1 - 0	Indie

Czwartek 22. sierpień 1968

Myanmar	2 - 1	Indonezja

środa 21. sierpień 1968

Indie	1 - 0	Japonia
Korea Południowa	2 - 1	Tajlandia

Niedziela 18. sierpień 1968

Malezja	1 - 1	Hongkong
Myanmar	1 - 3	Indie
Korea Południowa	2 - 0	Japonia

Sobota 17. sierpień 1968

Tajwan	2 - 0	Singapur
Tajlandia	2 - 3	Wietnam

Piątek 16. sierpień 1968

Indonezja	4 - 2	Korea Południowa
Malezja	1 - 1	Myanmar
Wietnam	3 - 1	Hongkong

Czwartek 15. sierpień 1968

Indie	0 - 1	Tajlandia
Japonia	1 - 0	Tajwan

środa 14. sierpień 1968

Indie	1 - 1	Hongkong
Indonezja	4 - 0	Singapur
Malezja	4 - 0	Wietnam

Wtorek 13. sierpień 1968

Myanmar	0 - 0	Tajlandia
Korea Południowa	2 - 1	Tajwan

Poniedziałek 12. sierpień 1968

Indie	3 - 2	Wietnam
Japonia	2 - 1	Singapur
Myanmar	3 - 0	Hongkong

Niedziela 11. sierpień 1968

Indonezja	10 - 1	Tajwan
Malezja	4 - 1	Tajlandia

Sobota 10. sierpień 1968

Myanmar	3 - 0	Wietnam
Korea Południowa	3 - 2	Singapur
Tajlandia	0 - 0	Hongkong

Piątek 9. sierpień 1968

Indonezja	7 - 0	Japonia
Malezja	2 - 1	Indie

Więcej Wyników

sierpień 1968

Hongkong
Indie
Indonezja
Japonia
Korea Południowa
Malezja
Myanmar
Singapur
Tajlandia
Tajwan
Wietnam

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Ostatnie 6 Spotkania

#	Drużyna	SR	W	R	P	GF	GA	Diff	Pts	Pts/G	W%	ØGF	ØGA
1.	Korea Południowa	6	5	0	1	12	8	+4	15	2.50	83%	2.00	1.33
2.	Malezja	6	4	2	0	15	4	+11	14	2.33	67%	2.50	0.67
3.	Indonezja	5	4	0	1	26	5	+21	12	2.40	80%	5.20	1.00
4.	Indie	6	3	1	2	8	6	+2	10	1.67	50%	1.33	1.00
5.	Japonia	6	3	0	3	5	12	-7	9	1.50	50%	0.83	2.00
6.	Myanmar	6	2	2	2	7	8	-1	8	1.33	33%	1.17	1.33
7.	Wietnam	5	2	0	3	8	13	-5	6	1.20	40%	1.60	2.60
8.	Tajlandia	6	1	1	4	6	11	-5	4	0.67	17%	1.00	1.83
9.	Hongkong	5	0	3	2	3	8	-5	3	0.60	0%	0.60	1.60
10.	Tajwan	4	1	0	3	4	13	-9	3	0.75	25%	1.00	3.25
11.	Singapur	4	0	0	4	3	11	-8	0	0.00	0%	0.75	2.75

Sezon		Gier	1	x	2	¦	1	2	¦	Ponad 2.5	Poniżej 2.5	Ponad 1.5	Poniżej 1.5	Home Advantage
2013	Sezon	6	50.0%	16.7%	33.3%	¦	60.0%	40.0%	¦	33.3%	66.7%	66.7%	33.3%	20.0%
2013	Playoffy	2	100.0%	0.0%	0.0%	¦	100.0%	0.0%	¦	50.0%	50.0%	100.0%	0.0%	100.0%
2000	Sezon	3	66.7%	33.3%	0.0%	¦	100.0%	0.0%	¦	0.0%	100.0%	33.3%	66.7%	100.0%
2000	Playoffy	1	0.0%	0.0%	100.0%	¦	0.0%	100.0%	¦	0.0%	100.0%	100.0%	0.0%	-100.0%
1995	Sezon	8	37.5%	37.5%	25.0%	¦	60.0%	40.0%	¦	37.5%	62.5%	62.5%	37.5%	20.0%
1984	Sezon	5	40.0%	0.0%	60.0%	¦	40.0%	60.0%	¦	100.0%	0.0%	100.0%	0.0%	-20.0%
1983	Sezon	12	83.3%	16.7%	0.0%	¦	100.0%	0.0%	¦	33.3%	66.7%	50.0%	50.0%	100.0%
1982	Sezon	19	57.9%	21.1%	21.1%	¦	73.3%	26.7%	¦	52.6%	47.4%	73.7%	26.3%	46.7%
1981	Sezon	22	50.0%	22.7%	27.3%	¦	64.7%	35.3%	¦	31.8%	68.2%	68.2%	31.8%	29.4%
1980	Sezon	29	48.3%	37.9%	13.8%	¦	77.8%	22.2%	¦	48.3%	51.7%	82.8%	17.2%	55.6%
1979	Sezon	22	68.2%	27.3%	4.5%	¦	93.8%	6.3%	¦	50.0%	50.0%	77.3%	22.7%	87.5%
1978	Sezon	29	79.3%	6.9%	13.8%	¦	85.2%	14.8%	¦	62.1%	37.9%	82.8%	17.2%	70.4%
1977	Sezon	22	54.5%	36.4%	9.1%	¦	85.7%	14.3%	¦	50.0%	50.0%	77.3%	22.7%	71.4%
1976	Sezon	22	68.2%	31.8%	0.0%	¦	100.0%	0.0%	¦	72.7%	27.3%	81.8%	18.2%	100.0%
1975	Sezon	29	79.3%	3.4%	17.2%	¦	82.1%	17.9%	¦	69.0%	31.0%	86.2%	13.8%	64.3%
1974	Sezon	17	70.6%	29.4%	0.0%	¦	100.0%	0.0%	¦	52.9%	47.1%	64.7%	35.3%	100.0%
1973	Sezon	32	65.6%	31.3%	3.1%	¦	95.5%	4.5%	¦	46.9%	53.1%	71.9%	28.1%	90.9%
1972	Sezon	31	77.4%	16.1%	6.5%	¦	92.3%	7.7%	¦	71.0%	29.0%	83.9%	16.1%	84.6%
1971	Sezon	38	76.3%	10.5%	13.2%	¦	85.3%	14.7%	¦	60.5%	39.5%	76.3%	23.7%	70.6%
1970	Sezon	32	65.6%	18.8%	15.6%	¦	80.8%	19.2%	¦	68.8%	31.3%	81.3%	18.8%	61.5%
1969	Sezon	14	64.3%	0.0%	35.7%	¦	64.3%	35.7%	¦	85.7%	14.3%	85.7%	14.3%	28.6%
1968	Sezon	31	74.2%	16.1%	9.7%	¦	88.5%	11.5%	¦	64.5%	35.5%	80.6%	19.4%	76.9%
1967	Sezon	28	67.9%	21.4%	10.7%	¦	86.4%	13.6%	¦	67.9%	32.1%	78.6%	21.4%	72.7%
1966	Sezon	27	70.4%	14.8%	14.8%	¦	82.6%	17.4%	¦	44.4%	55.6%	63.0%	37.0%	65.2%
1965	Sezon	25	36.0%	40.0%	24.0%	¦	60.0%	40.0%	¦	52.0%	48.0%	84.0%	16.0%	20.0%
1964	Sezon	26	65.4%	23.1%	11.5%	¦	85.0%	15.0%	¦	61.5%	38.5%	73.1%	26.9%	70.0%
1963	Sezon	15	40.0%	33.3%	26.7%	¦	60.0%	40.0%	¦	73.3%	26.7%	93.3%	6.7%	20.0%
1962	Sezon	18	61.1%	22.2%	16.7%	¦	78.6%	21.4%	¦	72.2%	27.8%	88.9%	11.1%	57.1%
1961	Sezon	18	44.4%	16.7%	38.9%	¦	53.3%	46.7%	¦	77.8%	22.2%	88.9%	11.1%	6.7%
1960	Sezon	18	55.6%	16.7%	27.8%	¦	66.7%	33.3%	¦	77.8%	22.2%	83.3%	16.7%	33.3%
1959	Sezon	15	73.3%	26.7%	0.0%	¦	100.0%	0.0%	¦	66.7%	33.3%	93.3%	6.7%	100.0%
1958	Sezon	10	60.0%	20.0%	20.0%	¦	75.0%	25.0%	¦	60.0%	40.0%	90.0%	10.0%	50.0%
1957	Sezon	17	64.7%	17.6%	17.6%	¦	78.6%	21.4%	¦	88.2%	11.8%	100.0%	0.0%	57.1%

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AnnaBet Power Ratings

Updated 2025-04-22 09:59:43

#	Drużyna	Rating
1.	Japonia	1431
2.	Korea Południowa	1303
3.	Tajlandia	1041
4.	Wietnam	1038
5.	Indonezja	989
6.	Malezja	957
7.	Indie	912
8.	Hongkong	851
9.	Singapur	801
10.	Tajwan	683
11.	Myanmar	677

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.