Copa América 1946 | AnnaBet.com

Archiwum spotkań

#	Drużyna	SR	W	R	P	GF	GA	Diff	Pts	Pts/G	W%	ØGF	ØGA
1.	Argentyna	5	5	0	0	17	3	+14	15	3.00	100%	3.40	0.60
2.	Brazylia	5	3	1	1	13	7	+6	10	2.00	60%	2.60	1.40
3.	Paragwaj	5	2	1	2	8	8	0	7	1.40	40%	1.60	1.60
4.	Urugwaj	5	2	0	3	11	9	+2	6	1.20	40%	2.20	1.80
5.	Chile	5	2	0	3	8	11	-3	6	1.20	40%	1.60	2.20
6.	Boliwia	5	0	0	5	4	23	-19	0	0.00	0%	0.80	4.60

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Niedziela 10. luty 1946

Copa América		1946	Kursy 1x2
Argentyna	2 - 0	Brazylia

Piątek 8. luty 1946

Chile	4 - 1	Boliwia
Paragwaj	2 - 1	Urugwaj

Niedziela 3. luty 1946

Brazylia	5 - 1	Chile

Sobota 2. luty 1946

Argentyna	3 - 1	Urugwaj

Wtorek 29. styczeń 1946

Brazylia	1 - 1	Paragwaj
Urugwaj	5 - 0	Boliwia

Sobota 26. styczeń 1946

Argentyna	3 - 1	Chile
Paragwaj	4 - 2	Boliwia

środa 23. styczeń 1946

Brazylia	4 - 3	Urugwaj

Sobota 19. styczeń 1946

Argentyna	7 - 1	Boliwia
Chile	2 - 1	Paragwaj

środa 16. styczeń 1946

Brazylia	3 - 0	Boliwia
Urugwaj	1 - 0	Chile

Sobota 12. styczeń 1946

Argentyna	2 - 0	Paragwaj

Więcej Wyników

luty 1946
styczeń 1946

Argentyna
Boliwia
Brazylia
Chile
Paragwaj
Urugwaj

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Ostatnie 6 Spotkania

#	Drużyna	SR	W	R	P	GF	GA	Diff	Pts	Pts/G	W%	ØGF	ØGA
1.	Argentyna	5	5	0	0	17	3	+14	15	3.00	100%	3.40	0.60
2.	Brazylia	5	3	1	1	13	7	+6	10	2.00	60%	2.60	1.40
3.	Paragwaj	5	2	1	2	8	8	0	7	1.40	40%	1.60	1.60
4.	Urugwaj	5	2	0	3	11	9	+2	6	1.20	40%	2.20	1.80
5.	Chile	5	2	0	3	8	11	-3	6	1.20	40%	1.60	2.20
6.	Boliwia	5	0	0	5	4	23	-19	0	0.00	0%	0.80	4.60

Sezon		Gier	1	x	2	¦	1	2	¦	Ponad 2.5	Poniżej 2.5	Ponad 1.5	Poniżej 1.5	Home Advantage
2024	Group Stage	24	50.0%	20.8%	29.2%	¦	63.2%	36.8%	¦	45.8%	54.2%	62.5%	37.5%	26.3%
2024	Playoffy	8	25.0%	62.5%	12.5%	¦	62.5%	37.5%	¦	25.0%	75.0%	62.5%	37.5%	25.0%
2021	Group Stage	20	45.0%	30.0%	25.0%	¦	64.3%	35.7%	¦	40.0%	60.0%	65.0%	35.0%	28.6%
2021	Playoffy	8	62.5%	37.5%	0.0%	¦	87.5%	12.5%	¦	37.5%	62.5%	50.0%	50.0%	75.0%
2019	Group Stage	18	27.8%	33.3%	38.9%	¦	41.7%	58.3%	¦	50.0%	50.0%	72.2%	27.8%	-16.7%
2019	Playoffy	8	37.5%	37.5%	25.0%	¦	50.0%	50.0%	¦	37.5%	62.5%	62.5%	37.5%	0.0%
2016	Group Stage	24	58.3%	16.7%	25.0%	¦	70.0%	30.0%	¦	58.3%	41.7%	70.8%	29.2%	40.0%
2016	Playoffy	8	25.0%	25.0%	50.0%	¦	25.0%	75.0%	¦	50.0%	50.0%	62.5%	37.5%	-50.0%
2015	Group Stage	18	50.0%	27.8%	22.2%	¦	69.2%	30.8%	¦	38.9%	61.1%	50.0%	50.0%	38.5%
2015	Playoffy	8	50.0%	37.5%	12.5%	¦	75.0%	25.0%	¦	37.5%	62.5%	62.5%	37.5%	50.0%
2011	Group Stage	18	50.0%	44.4%	5.6%	¦	90.0%	10.0%	¦	27.8%	72.2%	55.6%	44.4%	80.0%
2011	Playoffy	8	25.0%	50.0%	25.0%	¦	37.5%	62.5%	¦	37.5%	62.5%	62.5%	37.5%	-25.0%
2007	Group Stage	18	44.4%	22.2%	33.3%	¦	57.1%	42.9%	¦	55.6%	44.4%	66.7%	33.3%	14.3%
2007	Playoffy	8	37.5%	12.5%	50.0%	¦	37.5%	62.5%	¦	100.0%	0.0%	100.0%	0.0%	-25.0%
2004	Group Stage	18	55.6%	27.8%	16.7%	¦	76.9%	23.1%	¦	61.1%	38.9%	72.2%	27.8%	53.8%
2004	Playoffy	8	50.0%	25.0%	25.0%	¦	62.5%	37.5%	¦	62.5%	37.5%	87.5%	12.5%	25.0%
2001	Group Stage	18	55.6%	16.7%	27.8%	¦	66.7%	33.3%	¦	27.8%	72.2%	55.6%	44.4%	33.3%
2001	Playoffy	8	37.5%	12.5%	50.0%	¦	37.5%	62.5%	¦	50.0%	50.0%	87.5%	12.5%	-25.0%
1999	Group Stage	18	72.2%	11.1%	16.7%	¦	81.3%	18.8%	¦	55.6%	44.4%	66.7%	33.3%	62.5%
1999	Playoffy	8	50.0%	37.5%	12.5%	¦	62.5%	37.5%	¦	62.5%	37.5%	100.0%	0.0%	25.0%
1997	Group Stage	18	55.6%	16.7%	27.8%	¦	66.7%	33.3%	¦	27.8%	72.2%	72.2%	27.8%	33.3%
1997	Playoffy	8	62.5%	12.5%	25.0%	¦	75.0%	25.0%	¦	62.5%	37.5%	87.5%	12.5%	50.0%
1995	Group Stage	18	61.1%	16.7%	22.2%	¦	73.3%	26.7%	¦	61.1%	38.9%	77.8%	22.2%	46.7%
1995	Playoffy	8	37.5%	50.0%	12.5%	¦	75.0%	25.0%	¦	37.5%	62.5%	75.0%	25.0%	50.0%
1993	Group Stage	18	55.6%	44.4%	0.0%	¦	100.0%	0.0%	¦	38.9%	61.1%	66.7%	33.3%	100.0%
1993	Playoffy	8	37.5%	37.5%	25.0%	¦	75.0%	25.0%	¦	37.5%	62.5%	75.0%	25.0%	50.0%
1991	Group Stage	26	65.4%	23.1%	11.5%	¦	85.0%	15.0%	¦	46.2%	53.8%	80.8%	19.2%	70.0%
1989	Group Stage	26	57.7%	30.8%	11.5%	¦	83.3%	16.7%	¦	38.5%	61.5%	57.7%	42.3%	66.7%
1987	Group Stage	9	55.6%	33.3%	11.1%	¦	83.3%	16.7%	¦	55.6%	44.4%	88.9%	11.1%	66.7%
1987	Playoffy	4	0.0%	25.0%	75.0%	¦	25.0%	75.0%	¦	25.0%	75.0%	25.0%	75.0%	-50.0%
1983	Group Stage	18	44.4%	38.9%	16.7%	¦	72.7%	27.3%	¦	55.6%	44.4%	66.7%	33.3%	45.5%
1983	Playoffy	6	16.7%	66.7%	16.7%	¦	50.0%	50.0%	¦	0.0%	100.0%	66.7%	33.3%	0.0%
1979	Group Stage	18	66.7%	27.8%	5.6%	¦	92.3%	7.7%	¦	61.1%	38.9%	83.3%	16.7%	84.6%
1979	Playoffy	7	42.9%	42.9%	14.3%	¦	75.0%	25.0%	¦	57.1%	42.9%	57.1%	42.9%	50.0%
1975	Group Stage	18	55.6%	11.1%	33.3%	¦	62.5%	37.5%	¦	66.7%	33.3%	77.8%	22.2%	25.0%
1975	Playoffy	7	71.4%	0.0%	28.6%	¦	71.4%	28.6%	¦	28.6%	71.4%	57.1%	42.9%	42.9%
1967	Sezon	15	86.7%	13.3%	0.0%	¦	100.0%	0.0%	¦	53.3%	46.7%	73.3%	26.7%	100.0%
1963	Sezon	21	81.0%	19.0%	0.0%	¦	100.0%	0.0%	¦	76.2%	23.8%	95.2%	4.8%	100.0%
1959	Sezon	31	74.2%	19.4%	6.5%	¦	92.0%	8.0%	¦	77.4%	22.6%	93.5%	6.5%	84.0%
1957	Sezon	21	85.7%	4.8%	9.5%	¦	90.0%	10.0%	¦	81.0%	19.0%	85.7%	14.3%	80.0%
1956	Sezon	15	80.0%	20.0%	0.0%	¦	100.0%	0.0%	¦	40.0%	60.0%	66.7%	33.3%	100.0%
1955	Sezon	15	73.3%	20.0%	6.7%	¦	91.7%	8.3%	¦	80.0%	20.0%	93.3%	6.7%	83.3%
1953	Sezon	22	63.6%	27.3%	9.1%	¦	87.5%	12.5%	¦	59.1%	40.9%	72.7%	27.3%	75.0%
1949	Sezon	29	89.7%	6.9%	3.4%	¦	96.3%	3.7%	¦	86.2%	13.8%	93.1%	6.9%	92.6%
1947	Sezon	28	64.3%	21.4%	14.3%	¦	81.8%	18.2%	¦	64.3%	35.7%	82.1%	17.9%	63.6%
1946	Sezon	15	93.3%	6.7%	0.0%	¦	100.0%	0.0%	¦	73.3%	26.7%	93.3%	6.7%	100.0%
1945	Sezon	21	81.0%	14.3%	4.8%	¦	94.4%	5.6%	¦	61.9%	38.1%	81.0%	19.0%	88.9%
1942	Sezon	21	81.0%	19.0%	0.0%	¦	100.0%	0.0%	¦	66.7%	33.3%	81.0%	19.0%	100.0%
1941	Sezon	10	80.0%	0.0%	20.0%	¦	80.0%	20.0%	¦	50.0%	50.0%	70.0%	30.0%	60.0%
1939	Sezon	10	100.0%	0.0%	0.0%	¦	100.0%	0.0%	¦	100.0%	0.0%	100.0%	0.0%	100.0%
1937	Sezon	14	85.7%	7.1%	7.1%	¦	92.3%	7.7%	¦	71.4%	28.6%	78.6%	21.4%	84.6%
1936	Sezon	2	100.0%	0.0%	0.0%	¦	100.0%	0.0%	¦	100.0%	0.0%	100.0%	0.0%	100.0%
1935	Sezon	6	66.7%	0.0%	33.3%	¦	66.7%	33.3%	¦	66.7%	33.3%	66.7%	33.3%	33.3%
1929	Sezon	6	100.0%	0.0%	0.0%	¦	100.0%	0.0%	¦	83.3%	16.7%	100.0%	0.0%	100.0%
1927	Sezon	6	66.7%	0.0%	33.3%	¦	66.7%	33.3%	¦	100.0%	0.0%	100.0%	0.0%	33.3%
1926	Sezon	10	80.0%	10.0%	10.0%	¦	88.9%	11.1%	¦	80.0%	20.0%	100.0%	0.0%	77.8%
1925	Sezon	6	83.3%	16.7%	0.0%	¦	100.0%	0.0%	¦	83.3%	16.7%	100.0%	0.0%	100.0%
1924	Sezon	6	66.7%	33.3%	0.0%	¦	100.0%	0.0%	¦	50.0%	50.0%	66.7%	33.3%	100.0%
1923	Sezon	6	100.0%	0.0%	0.0%	¦	100.0%	0.0%	¦	50.0%	50.0%	83.3%	16.7%	100.0%
1922	Sezon	11	72.7%	27.3%	0.0%	¦	100.0%	0.0%	¦	27.3%	72.7%	72.7%	27.3%	100.0%
1921	Sezon	6	100.0%	0.0%	0.0%	¦	100.0%	0.0%	¦	66.7%	33.3%	66.7%	33.3%	100.0%
1920	Sezon	6	33.3%	33.3%	33.3%	¦	50.0%	50.0%	¦	33.3%	66.7%	83.3%	16.7%	0.0%
1919	Sezon	7	85.7%	14.3%	0.0%	¦	100.0%	0.0%	¦	71.4%	28.6%	85.7%	14.3%	100.0%
1917	Sezon	6	100.0%	0.0%	0.0%	¦	100.0%	0.0%	¦	66.7%	33.3%	66.7%	33.3%	100.0%
1916	Sezon	6	50.0%	50.0%	0.0%	¦	100.0%	0.0%	¦	50.0%	50.0%	83.3%	16.7%	100.0%
1910	Sezon	3	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 Power Ratings

Updated 2025-04-16 11:11:29

#	Drużyna	Rating
1.	Argentyna	1580
2.	Brazylia	1478
3.	Urugwaj	1439
4.	Paragwaj	1313
5.	Chile	1164
6.	Boliwia	1129

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.