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  Olympiska spelen 1988 @ Sydkorea

Group A

# Lag S V O F GM IM Diff P Pts/G V% ØGM ØIM
1. Sverige 3 2 1 0 6 3 +3 5 1.67 67% 2.00 1.00
2. West Germany 3 2 0 1 8 3 +5 4 1.33 67% 2.67 1.00
3. Tunisien 3 0 2 1 3 6 -3 2 0.67 0% 1.00 2.00
4. Kina 3 0 1 2 0 5 -5 1 0.33 0% 0.00 1.67

Group B
# Lag S V O F GM IM Diff P Pts/G V% ØGM ØIM
1. Zambia 3 2 1 0 10 2 +8 5 1.67 67% 3.33 0.67
2. Italien 3 2 0 1 7 6 +1 4 1.33 67% 2.33 2.00
3. Irak 3 1 1 1 5 4 +1 3 1.00 33% 1.67 1.33
4. Guatemala 3 0 0 3 2 12 -10 0 0.00 0% 0.67 4.00

Group C
# Lag S V O F GM IM Diff P Pts/G V% ØGM ØIM
1. USSR 3 2 1 0 6 3 +3 5 1.67 67% 2.00 1.00
2. Argentina 3 1 1 1 4 4 0 3 1.00 33% 1.33 1.33
3. Sydkorea 3 0 2 1 1 2 -1 2 0.67 0% 0.33 0.67
4. USA 3 0 2 1 3 5 -2 2 0.67 0% 1.00 1.67

Group D
# Lag S V O F GM IM Diff P Pts/G V% ØGM ØIM
1. Brasilien 3 3 0 0 9 1 +8 6 2.00 100% 3.00 0.33
2. Australien 3 2 0 1 2 3 -1 4 1.33 67% 0.67 1.00
3. Yugoslavia 3 1 0 2 4 4 0 2 0.67 33% 1.33 1.33
4. Nigeria 3 0 0 3 1 8 -7 0 0.00 0% 0.33 2.67


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Låt muspekaren vila över procent (%) för att se värde odds

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Lördag 1. oktober 1988
   
Olympiska spelen - Playoffs - Finals1988 Odds 1x2
USSR    2 - 1 AET Brasilien
   
Fredag 30. september 1988
   
Olympiska spelen - Playoffs - Bronze1988 Odds 1x2
Italien    0 - 3    West Germany
   
Tisdag 27. september 1988
   
Olympiska spelen - Playoffs - 1/2 Finals1988 Odds 1x2
Brasilien    2 - 1 AET West Germany
USSR    3 - 2 AET Italien
   
Söndag 25. september 1988
   
Olympiska spelen - Playoffs - 1/4 Finals1988 Odds 1x2
Brasilien    1 - 0    Argentina
Sverige    1 - 2 AET Italien
USSR    3 - 0    Australien
West Germany    4 - 0    Zambia
   
Torsdag 22. september 1988
   
Olympiska spelen - Group C1988 Odds 1x2
Argentina    2 - 1    Sydkorea
USSR    4 - 2    USA
Olympiska spelen - Group D1988 Odds 1x2
Australien    1 - 0    Nigeria
Brasilien    2 - 1    Yugoslavia
   
Onsdag 21. september 1988
   
Olympiska spelen - Group A1988 Odds 1x2
Sverige    2 - 1    West Germany
Tunisien    0 - 0    Kina
Olympiska spelen - Group B1988 Odds 1x2
Guatemala    0 - 4    Zambia
Italien    2 - 0    Irak
   
Tisdag 20. september 1988
   
Olympiska spelen - Group C1988 Odds 1x2
Sydkorea    0 - 0    USA
USSR    2 - 1    Argentina
Olympiska spelen - Group D1988 Odds 1x2
Brasilien    3 - 0    Australien
Yugoslavia    3 - 1    Nigeria
   
Måndag 19. september 1988
   
Olympiska spelen - Group A1988 Odds 1x2
Sverige    2 - 0    Kina
West Germany    4 - 1    Tunisien
Olympiska spelen - Group B1988 Odds 1x2
Irak    3 - 0    Guatemala
Zambia    4 - 0    Italien
   
Söndag 18. september 1988
   
Olympiska spelen - Group C1988 Odds 1x2
Sydkorea    0 - 0    USSR
USA    1 - 1    Argentina
Olympiska spelen - Group D1988 Odds 1x2
Australien    1 - 0    Yugoslavia
Brasilien    4 - 0    Nigeria
   
Lördag 17. september 1988
   
Olympiska spelen - Group A1988 Odds 1x2
Sverige    2 - 2    Tunisien
West Germany    3 - 0    Kina
Olympiska spelen - Group B1988 Odds 1x2
Italien    5 - 2    Guatemala
Zambia    2 - 2    Irak

Flera resultat

oktober 1988
september 1988

Argentina
Australien
Brasilien
Guatemala
Irak
Italien
Kina
Nigeria
Sverige
Sydkorea
Tunisien
USA
USSR
West Germany
Yugoslavia
Zambia

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1972
1968
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1956
1952
1948
1936
1928
1924
1920
1912
1908
1904
1900

Officiell sajt

Wikipedia

# Lag S V O F GM IM Diff P Pts/G V% ØGM ØIM
1. West Germany 6 4 0 1 16 5 +11 0 0.00 67% 2.67 0.67
2. Brasilien 6 4 0 0 13 4 +9 0 0.00 83% 2.00 0.50
3. USSR 6 3 1 0 14 6 +8 0 0.00 83% 1.83 0.83
4. Zambia 4 2 1 1 10 6 +4 0 0.00 50% 2.50 1.50
5. Sverige 4 2 1 0 7 5 +2 0 0.00 50% 1.75 1.00
6. Irak 3 1 1 1 5 4 +1 0 0.00 33% 1.67 1.33
7. Yugoslavia 3 1 0 2 4 4 0 0 0.00 33% 1.33 1.33
8. Argentina 4 1 1 2 4 5 -1 0 0.00 25% 1.00 1.25
9. Sydkorea 3 0 2 1 1 2 -1 0 0.00 0% 0.33 0.67
10. Italien 6 2 0 2 11 13 -2 0 0.00 50% 1.50 1.83
11. USA 3 0 2 1 3 5 -2 0 0.00 0% 1.00 1.67
12. Tunisien 3 0 2 1 3 6 -3 0 0.00 0% 1.00 2.00
13. Australien 4 2 0 2 2 6 -4 0 0.00 50% 0.50 1.50
14. Kina 3 0 1 2 0 5 -5 0 0.00 0% 0.00 1.67
15. Nigeria 3 0 0 3 1 8 -7 0 0.00 0% 0.33 2.67
16. Guatemala 3 0 0 3 2 12 -10 0 0.00 0% 0.67 4.00

-
Säsong Matcher 1 x 2  ¦  1 2  ¦  Över 2.5 Under 2.5 Över 1.5 Under 1.5 Hemfördel
2024Group Stage24 41.7% 12.5% 45.8%  ¦  47.6% 52.4%  ¦  62.5% 37.5% 75.0% 25.0% -4.8%
2024Playoff8 25.0% 37.5% 37.5%  ¦  50.0% 50.0%  ¦  62.5% 37.5% 87.5% 12.5% 0.0%
2020Group Stage24 33.3% 20.8% 45.8%  ¦  42.1% 57.9%  ¦  50.0% 50.0% 66.7% 33.3% -15.8%
2020Playoff8 25.0% 62.5% 12.5%  ¦  62.5% 37.5%  ¦  37.5% 62.5% 50.0% 50.0% 25.0%
2016Group Stage31 38.7% 41.9% 19.4%  ¦  66.7% 33.3%  ¦  51.6% 48.4% 71.0% 29.0% 33.3%
2016Playoff8 37.5% 12.5% 50.0%  ¦  50.0% 50.0%  ¦  37.5% 62.5% 87.5% 12.5% 0.0%
2012Group Stage24 50.0% 37.5% 12.5%  ¦  80.0% 20.0%  ¦  33.3% 66.7% 58.3% 41.7% 60.0%
2012Playoff8 50.0% 25.0% 25.0%  ¦  62.5% 37.5%  ¦  75.0% 25.0% 100.0% 0.0% 25.0%
2008Group Stage24 45.8% 25.0% 29.2%  ¦  61.1% 38.9%  ¦  37.5% 62.5% 58.3% 41.7% 22.2%
2008Playoff8 37.5% 25.0% 37.5%  ¦  62.5% 37.5%  ¦  50.0% 50.0% 75.0% 25.0% 25.0%
2004Group Stage24 41.7% 25.0% 33.3%  ¦  55.6% 44.4%  ¦  58.3% 41.7% 75.0% 25.0% 11.1%
2004Playoff8 62.5% 12.5% 25.0%  ¦  62.5% 37.5%  ¦  50.0% 50.0% 50.0% 50.0% 25.0%
2000Group Stage24 37.5% 20.8% 41.7%  ¦  47.4% 52.6%  ¦  66.7% 33.3% 83.3% 16.7% -5.3%
2000Playoff8 25.0% 37.5% 37.5%  ¦  37.5% 62.5%  ¦  62.5% 37.5% 87.5% 12.5% -25.0%
1996Group Stage24 70.8% 25.0% 4.2%  ¦  94.4% 5.6%  ¦  33.3% 66.7% 70.8% 29.2% 88.9%
1996Playoff8 62.5% 25.0% 12.5%  ¦  87.5% 12.5%  ¦  62.5% 37.5% 100.0% 0.0% 75.0%
1992Group Stage24 41.7% 41.7% 16.7%  ¦  71.4% 28.6%  ¦  41.7% 58.3% 79.2% 20.8% 42.9%
1992Playoff8 50.0% 12.5% 37.5%  ¦  62.5% 37.5%  ¦  50.0% 50.0% 75.0% 25.0% 25.0%
1988Group Stage24 70.8% 25.0% 4.2%  ¦  94.4% 5.6%  ¦  66.7% 33.3% 79.2% 20.8% 88.9%
1988Playoff8 37.5% 50.0% 12.5%  ¦  75.0% 25.0%  ¦  37.5% 62.5% 87.5% 12.5% 50.0%
1984Group Stage24 50.0% 20.8% 29.2%  ¦  63.2% 36.8%  ¦  37.5% 62.5% 62.5% 37.5% 26.3%
1984Playoff8 50.0% 50.0% 0.0%  ¦  87.5% 12.5%  ¦  37.5% 62.5% 87.5% 12.5% 75.0%
1980Group Stage24 66.7% 33.3% 0.0%  ¦  100.0% 0.0%  ¦  50.0% 50.0% 75.0% 25.0% 100.0%
1980Playoff8 87.5% 0.0% 12.5%  ¦  87.5% 12.5%  ¦  50.0% 50.0% 75.0% 25.0% 75.0%
1976Group Stage15 53.3% 40.0% 6.7%  ¦  88.9% 11.1%  ¦  53.3% 46.7% 66.7% 33.3% 77.8%
1976Playoff8 87.5% 0.0% 12.5%  ¦  87.5% 12.5%  ¦  75.0% 25.0% 100.0% 0.0% 75.0%
1972Group Stage36 83.3% 11.1% 5.6%  ¦  93.8% 6.3%  ¦  69.4% 30.6% 86.1% 13.9% 87.5%
1972Playoff2 50.0% 50.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1968Group Stage24 75.0% 25.0% 0.0%  ¦  100.0% 0.0%  ¦  70.8% 29.2% 83.3% 16.7% 100.0%
1968Playoff8 62.5% 12.5% 25.0%  ¦  71.4% 28.6%  ¦  50.0% 50.0% 87.5% 12.5% 42.9%
1964Group Stage18 72.2% 22.2% 5.6%  ¦  92.9% 7.1%  ¦  61.1% 38.9% 88.9% 11.1% 85.7%
1964Playoff11 63.6% 0.0% 36.4%  ¦  63.6% 36.4%  ¦  81.8% 18.2% 90.9% 9.1% 27.3%
1960Group Stage24 79.2% 16.7% 4.2%  ¦  95.0% 5.0%  ¦  87.5% 12.5% 100.0% 0.0% 90.0%
1960Playoff4 75.0% 25.0% 0.0%  ¦  100.0% 0.0%  ¦  50.0% 50.0% 75.0% 25.0% 100.0%
1956Playoff12 66.7% 16.7% 16.7%  ¦  81.8% 18.2%  ¦  66.7% 33.3% 75.0% 25.0% 63.6%
1952Playoff26 69.2% 15.4% 15.4%  ¦  84.0% 16.0%  ¦  80.8% 19.2% 96.2% 3.8% 68.0%
1948Playoff18 61.1% 11.1% 27.8%  ¦  72.2% 27.8%  ¦  88.9% 11.1% 94.4% 5.6% 44.4%
1936Playoff16 62.5% 18.8% 18.8%  ¦  81.3% 18.8%  ¦  68.8% 31.3% 93.8% 6.3% 62.5%
1928Playoff22 45.5% 13.6% 40.9%  ¦  52.6% 47.4%  ¦  86.4% 13.6% 100.0% 0.0% 5.3%
1924Playoff24 58.3% 12.5% 29.2%  ¦  68.2% 31.8%  ¦  66.7% 33.3% 83.3% 16.7% 36.4%
1920Playoff17 47.1% 11.8% 41.2%  ¦  58.8% 41.2%  ¦  82.4% 17.6% 94.1% 5.9% 17.6%
1912Playoff17 47.1% 11.8% 41.2%  ¦  47.1% 52.9%  ¦  88.2% 11.8% 88.2% 11.8% -5.9%
1908Playoff6 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  66.7% 33.3% 100.0% 0.0% 33.3%
1904Playoff2 0.0% 0.0% 100.0%  ¦  0.0% 100.0%  ¦  100.0% 0.0% 100.0% 0.0% -100.0%
1900Grundserien2 50.0% 0.0% 50.0%  ¦  50.0% 50.0%  ¦  100.0% 0.0% 100.0% 0.0% 0.0%

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Låt muspekaren vila över procent (%) för att se värde odds

AnnaBet Power Ratings

Updated 2025-03-15 10:22:19
#Lag Rating
1. Argentina 1531
2. Brasilien 1488
3. Italien 1366
4. USA 1352
5. Australien 1328
6. Sydkorea 1326
7. Tunisien 1251
8. Irak 1237
9. Sverige 1167
10. Guatemala 1129
11. Yugoslavia 1104
12. Nigeria 1094
13. Kina 1044
14. Zambia 1023
15. West Germany
16. USSR


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.