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  Copa America 1921

# Mannschaft SP S U N T+ T- Diff P P/M S% ØT+ ØT-
1. Argentinien 3 3 0 0 5 0 +5 9 3.00 100% 1.67 0.00
2. Brasilien 3 1 0 2 4 3 +1 3 1.00 33% 1.33 1.00
3. Uruguay 3 1 0 2 3 4 -1 3 1.00 33% 1.00 1.33
4. Paraguay 3 1 0 2 2 7 -5 3 1.00 33% 0.67 2.33


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2024
2021
2019
2016
2015
2011
2007
2004
2001
1999
1997
1995
1993
1991
1989
1987
1983
1979
1975
1967
1963
1959
1957
1956
1955
1953
1949
1947
1946
1945
1942
1941
1939
1937
1936
1935
1929
1927
1926
1925
1924
1923
1922
1921
1920
1919
1917
1916
1910


Die offizielle Webseite

Wikipedia

Sonntag 30. Oktober 1921
   
Copa America1921 Quoten 1x2
Argentinien    1 - 0    Uruguay
   
Sonntag 23. Oktober 1921
   
Uruguay    2 - 1    Brasilien
   
Sonntag 16. Oktober 1921
   
Argentinien    3 - 0    Paraguay
   
Mittwoch 12. Oktober 1921
   
Brasilien    3 - 0    Paraguay
   
Sonntag 9. Oktober 1921
   
Paraguay    2 - 1    Uruguay
   
Sonntag 2. Oktober 1921
   
Argentinien    1 - 0    Brasilien

Mehr Ergebnisse


Oktober 1921

Argentinien
Brasilien
Paraguay
Uruguay


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2024
2021
2019
2016
2015
2011
2007
2004
2001
1999
1997
1995
1993
1991
1989
1987
1983
1979
1975
1967
1963
1959
1957
1956
1955
1953
1949
1947
1946
1945
1942
1941
1939
1937
1936
1935
1929
1927
1926
1925
1924
1923
1922
1921
1920
1919
1917
1916
1910


Die offizielle Webseite

Wikipedia

# Mannschaft SP S U N T+ T- Diff P P/M S% ØT+ ØT-
1. Argentinien 3 3 0 0 5 0 +5 9 3.00 100% 1.67 0.00
2. Brasilien 3 1 0 2 4 3 +1 3 1.00 33% 1.33 1.00
3. Uruguay 3 1 0 2 3 4 -1 3 1.00 33% 1.00 1.33
4. Paraguay 3 1 0 2 2 7 -5 3 1.00 33% 0.67 2.33

-
Saison Matchs 1 x 2  ¦  1 2  ¦  Über 2.5 Unter 2.5 Über 1.5 Unter 1.5 Heimspiel
2024Divisionphase24 50.0% 20.8% 29.2%  ¦  63.2% 36.8%  ¦  45.8% 54.2% 62.5% 37.5% 26.3%
2024Playoffs8 25.0% 62.5% 12.5%  ¦  62.5% 37.5%  ¦  25.0% 75.0% 62.5% 37.5% 25.0%
2021Divisionphase20 45.0% 30.0% 25.0%  ¦  64.3% 35.7%  ¦  40.0% 60.0% 65.0% 35.0% 28.6%
2021Playoffs8 62.5% 37.5% 0.0%  ¦  87.5% 12.5%  ¦  37.5% 62.5% 50.0% 50.0% 75.0%
2019Divisionphase18 27.8% 33.3% 38.9%  ¦  41.7% 58.3%  ¦  50.0% 50.0% 72.2% 27.8% -16.7%
2019Playoffs8 37.5% 37.5% 25.0%  ¦  50.0% 50.0%  ¦  37.5% 62.5% 62.5% 37.5% 0.0%
2016Divisionphase24 58.3% 16.7% 25.0%  ¦  70.0% 30.0%  ¦  58.3% 41.7% 70.8% 29.2% 40.0%
2016Playoffs8 25.0% 25.0% 50.0%  ¦  25.0% 75.0%  ¦  50.0% 50.0% 62.5% 37.5% -50.0%
2015Divisionphase18 50.0% 27.8% 22.2%  ¦  69.2% 30.8%  ¦  38.9% 61.1% 50.0% 50.0% 38.5%
2015Playoffs8 50.0% 37.5% 12.5%  ¦  75.0% 25.0%  ¦  37.5% 62.5% 62.5% 37.5% 50.0%
2011Divisionphase18 50.0% 44.4% 5.6%  ¦  90.0% 10.0%  ¦  27.8% 72.2% 55.6% 44.4% 80.0%
2011Playoffs8 25.0% 50.0% 25.0%  ¦  37.5% 62.5%  ¦  37.5% 62.5% 62.5% 37.5% -25.0%
2007Divisionphase18 44.4% 22.2% 33.3%  ¦  57.1% 42.9%  ¦  55.6% 44.4% 66.7% 33.3% 14.3%
2007Playoffs8 37.5% 12.5% 50.0%  ¦  37.5% 62.5%  ¦  100.0% 0.0% 100.0% 0.0% -25.0%
2004Divisionphase18 55.6% 27.8% 16.7%  ¦  76.9% 23.1%  ¦  61.1% 38.9% 72.2% 27.8% 53.8%
2004Playoffs8 50.0% 25.0% 25.0%  ¦  62.5% 37.5%  ¦  62.5% 37.5% 87.5% 12.5% 25.0%
2001Divisionphase18 55.6% 16.7% 27.8%  ¦  66.7% 33.3%  ¦  27.8% 72.2% 55.6% 44.4% 33.3%
2001Playoffs8 37.5% 12.5% 50.0%  ¦  37.5% 62.5%  ¦  50.0% 50.0% 87.5% 12.5% -25.0%
1999Divisionphase18 72.2% 11.1% 16.7%  ¦  81.3% 18.8%  ¦  55.6% 44.4% 66.7% 33.3% 62.5%
1999Playoffs8 50.0% 37.5% 12.5%  ¦  62.5% 37.5%  ¦  62.5% 37.5% 100.0% 0.0% 25.0%
1997Divisionphase18 55.6% 16.7% 27.8%  ¦  66.7% 33.3%  ¦  27.8% 72.2% 72.2% 27.8% 33.3%
1997Playoffs8 62.5% 12.5% 25.0%  ¦  75.0% 25.0%  ¦  62.5% 37.5% 87.5% 12.5% 50.0%
1995Divisionphase18 61.1% 16.7% 22.2%  ¦  73.3% 26.7%  ¦  61.1% 38.9% 77.8% 22.2% 46.7%
1995Playoffs8 37.5% 50.0% 12.5%  ¦  75.0% 25.0%  ¦  37.5% 62.5% 75.0% 25.0% 50.0%
1993Divisionphase18 55.6% 44.4% 0.0%  ¦  100.0% 0.0%  ¦  38.9% 61.1% 66.7% 33.3% 100.0%
1993Playoffs8 37.5% 37.5% 25.0%  ¦  75.0% 25.0%  ¦  37.5% 62.5% 75.0% 25.0% 50.0%
1991Divisionphase26 65.4% 23.1% 11.5%  ¦  85.0% 15.0%  ¦  46.2% 53.8% 80.8% 19.2% 70.0%
1989Divisionphase26 57.7% 30.8% 11.5%  ¦  83.3% 16.7%  ¦  38.5% 61.5% 57.7% 42.3% 66.7%
1987Divisionphase9 55.6% 33.3% 11.1%  ¦  83.3% 16.7%  ¦  55.6% 44.4% 88.9% 11.1% 66.7%
1987Playoffs4 0.0% 25.0% 75.0%  ¦  25.0% 75.0%  ¦  25.0% 75.0% 25.0% 75.0% -50.0%
1983Divisionphase18 44.4% 38.9% 16.7%  ¦  72.7% 27.3%  ¦  55.6% 44.4% 66.7% 33.3% 45.5%
1983Playoffs6 16.7% 66.7% 16.7%  ¦  50.0% 50.0%  ¦  0.0% 100.0% 66.7% 33.3% 0.0%
1979Divisionphase18 66.7% 27.8% 5.6%  ¦  92.3% 7.7%  ¦  61.1% 38.9% 83.3% 16.7% 84.6%
1979Playoffs7 42.9% 42.9% 14.3%  ¦  75.0% 25.0%  ¦  57.1% 42.9% 57.1% 42.9% 50.0%
1975Divisionphase18 55.6% 11.1% 33.3%  ¦  62.5% 37.5%  ¦  66.7% 33.3% 77.8% 22.2% 25.0%
1975Playoffs7 71.4% 0.0% 28.6%  ¦  71.4% 28.6%  ¦  28.6% 71.4% 57.1% 42.9% 42.9%
1967Saison15 86.7% 13.3% 0.0%  ¦  100.0% 0.0%  ¦  53.3% 46.7% 73.3% 26.7% 100.0%
1963Saison21 81.0% 19.0% 0.0%  ¦  100.0% 0.0%  ¦  76.2% 23.8% 95.2% 4.8% 100.0%
1959Saison31 74.2% 19.4% 6.5%  ¦  92.0% 8.0%  ¦  77.4% 22.6% 93.5% 6.5% 84.0%
1957Saison21 85.7% 4.8% 9.5%  ¦  90.0% 10.0%  ¦  81.0% 19.0% 85.7% 14.3% 80.0%
1956Saison15 80.0% 20.0% 0.0%  ¦  100.0% 0.0%  ¦  40.0% 60.0% 66.7% 33.3% 100.0%
1955Saison15 73.3% 20.0% 6.7%  ¦  91.7% 8.3%  ¦  80.0% 20.0% 93.3% 6.7% 83.3%
1953Saison22 63.6% 27.3% 9.1%  ¦  87.5% 12.5%  ¦  59.1% 40.9% 72.7% 27.3% 75.0%
1949Saison29 89.7% 6.9% 3.4%  ¦  96.3% 3.7%  ¦  86.2% 13.8% 93.1% 6.9% 92.6%
1947Saison28 64.3% 21.4% 14.3%  ¦  81.8% 18.2%  ¦  64.3% 35.7% 82.1% 17.9% 63.6%
1946Saison15 93.3% 6.7% 0.0%  ¦  100.0% 0.0%  ¦  73.3% 26.7% 93.3% 6.7% 100.0%
1945Saison21 81.0% 14.3% 4.8%  ¦  94.4% 5.6%  ¦  61.9% 38.1% 81.0% 19.0% 88.9%
1942Saison21 81.0% 19.0% 0.0%  ¦  100.0% 0.0%  ¦  66.7% 33.3% 81.0% 19.0% 100.0%
1941Saison10 80.0% 0.0% 20.0%  ¦  80.0% 20.0%  ¦  50.0% 50.0% 70.0% 30.0% 60.0%
1939Saison10 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1937Saison14 85.7% 7.1% 7.1%  ¦  92.3% 7.7%  ¦  71.4% 28.6% 78.6% 21.4% 84.6%
1936Saison2 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%
1935Saison6 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  66.7% 33.3% 66.7% 33.3% 33.3%
1929Saison6 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  83.3% 16.7% 100.0% 0.0% 100.0%
1927Saison6 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  100.0% 0.0% 100.0% 0.0% 33.3%
1926Saison10 80.0% 10.0% 10.0%  ¦  88.9% 11.1%  ¦  80.0% 20.0% 100.0% 0.0% 77.8%
1925Saison6 83.3% 16.7% 0.0%  ¦  100.0% 0.0%  ¦  83.3% 16.7% 100.0% 0.0% 100.0%
1924Saison6 66.7% 33.3% 0.0%  ¦  100.0% 0.0%  ¦  50.0% 50.0% 66.7% 33.3% 100.0%
1923Saison6 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  50.0% 50.0% 83.3% 16.7% 100.0%
1922Saison11 72.7% 27.3% 0.0%  ¦  100.0% 0.0%  ¦  27.3% 72.7% 72.7% 27.3% 100.0%
1921Saison6 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  66.7% 33.3% 66.7% 33.3% 100.0%
1920Saison6 33.3% 33.3% 33.3%  ¦  50.0% 50.0%  ¦  33.3% 66.7% 83.3% 16.7% 0.0%
1919Saison7 85.7% 14.3% 0.0%  ¦  100.0% 0.0%  ¦  71.4% 28.6% 85.7% 14.3% 100.0%
1917Saison6 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  66.7% 33.3% 66.7% 33.3% 100.0%
1916Saison6 50.0% 50.0% 0.0%  ¦  100.0% 0.0%  ¦  50.0% 50.0% 83.3% 16.7% 100.0%
1910Saison3 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  100.0% 0.0% 100.0% 0.0% 100.0%

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AnnaBet Powerratings

Aktualisiert 2025-04-13 14:09:05
#Mannschaft Powerrating
1. Argentinien 1580
2. Brasilien 1478
3. Uruguay 1439
4. Paraguay 1313


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.