Argentina 1 - 1 Colombia

07.07.2021 - 01:00

Stadium : Estádio Nacional de Brasília (Brasília, Distrito Federal)

Finished

Over Under Goals

#TeamMPOver 2.5OverallHomeAway
1
Argentina logo

Argentina

7229%17%100%
2
Uruguay logo

Uruguay

500%0%0%
3
Ecuador logo

Ecuador

5360%100%50%
4
Brazil logo

Brazil

7343%50%0%
5
Chile logo

Chile

500%0%0%
6
Colombia logo

Colombia

7343%50%33%
7
Bolivia logo

Bolivia

4250%50%50%
8
Peru logo

Peru

7571%100%67%
9
Paraguay logo

Paraguay

5240%100%25%
10
Venezuela logo

Venezuela

4250%50%50%
#TeamMPOver 0.5OverallHomeAway
1
Argentina logo

Argentina

77100%100%100%
2
Uruguay logo

Uruguay

5480%67%100%
3
Ecuador logo

Ecuador

55100%100%100%
4
Brazil logo

Brazil

77100%100%100%
5
Chile logo

Chile

55100%100%100%
6
Colombia logo

Colombia

7571%75%67%
7
Bolivia logo

Bolivia

44100%100%100%
8
Peru logo

Peru

77100%100%100%
9
Paraguay logo

Paraguay

55100%100%100%
10
Venezuela logo

Venezuela

4375%100%50%
#TeamMPOver 1.5OverallHomeAway
1
Argentina logo

Argentina

7457%50%100%
2
Uruguay logo

Uruguay

5240%33%50%
3
Ecuador logo

Ecuador

5480%100%75%
4
Brazil logo

Brazil

7457%67%0%
5
Chile logo

Chile

5360%50%67%
6
Colombia logo

Colombia

7457%50%67%
7
Bolivia logo

Bolivia

4375%100%50%
8
Peru logo

Peru

7571%100%67%
9
Paraguay logo

Paraguay

5360%100%50%
10
Venezuela logo

Venezuela

4250%50%50%
#TeamMPOver 1.5OverallHomeAway
1
Argentina logo

Argentina

7114%0%100%
2
Uruguay logo

Uruguay

500%0%0%
3
Ecuador logo

Ecuador

5240%100%25%
4
Brazil logo

Brazil

7114%17%0%
5
Chile logo

Chile

500%0%0%
6
Colombia logo

Colombia

7114%25%0%
7
Bolivia logo

Bolivia

4250%50%50%
8
Peru logo

Peru

7457%100%50%
9
Paraguay logo

Paraguay

5240%100%25%
10
Venezuela logo

Venezuela

4125%50%0%
#TeamMPOver 1.5OverallHomeAway
1
Argentina logo

Argentina

7114%0%100%
2
Uruguay logo

Uruguay

500%0%0%
3
Ecuador logo

Ecuador

500%0%0%
4
Brazil logo

Brazil

700%0%0%
5
Chile logo

Chile

500%0%0%
6
Colombia logo

Colombia

7114%25%0%
7
Bolivia logo

Bolivia

4125%50%0%
8
Peru logo

Peru

7229%100%17%
9
Paraguay logo

Paraguay

5120%0%25%
10
Venezuela logo

Venezuela

400%0%0%
#TeamMPOver 1.5OverallHomeAway
1
Argentina logo

Argentina

700%0%0%
2
Uruguay logo

Uruguay

500%0%0%
3
Ecuador logo

Ecuador

500%0%0%
4
Brazil logo

Brazil

700%0%0%
5
Chile logo

Chile

500%0%0%
6
Colombia logo

Colombia

700%0%0%
7
Bolivia logo

Bolivia

400%0%0%
8
Peru logo

Peru

7114%100%0%
9
Paraguay logo

Paraguay

5120%0%25%
10
Venezuela logo

Venezuela

400%0%0%
#TeamMPOver 2.5OverallHomeAway
1
Argentina logo

Argentina

7571%83%0%
2
Uruguay logo

Uruguay

55100%100%100%
3
Ecuador logo

Ecuador

5240%0%50%
4
Brazil logo

Brazil

7457%50%100%
5
Chile logo

Chile

55100%100%100%
6
Colombia logo

Colombia

7457%50%67%
7
Bolivia logo

Bolivia

4250%50%50%
8
Peru logo

Peru

7229%0%33%
9
Paraguay logo

Paraguay

5360%0%75%
10
Venezuela logo

Venezuela

4250%50%50%
#TeamMPOver 2.5OverallHomeAway
1
Argentina logo

Argentina

700%0%0%
2
Uruguay logo

Uruguay

5120%33%0%
3
Ecuador logo

Ecuador

500%0%0%
4
Brazil logo

Brazil

700%0%0%
5
Chile logo

Chile

500%0%0%
6
Colombia logo

Colombia

7229%25%33%
7
Bolivia logo

Bolivia

400%0%0%
8
Peru logo

Peru

700%0%0%
9
Paraguay logo

Paraguay

500%0%0%
10
Venezuela logo

Venezuela

4125%0%50%
#TeamMPOver 2.5OverallHomeAway
1
Argentina logo

Argentina

7343%50%0%
2
Uruguay logo

Uruguay

5360%67%50%
3
Ecuador logo

Ecuador

5120%0%25%
4
Brazil logo

Brazil

7343%33%100%
5
Chile logo

Chile

5240%50%33%
6
Colombia logo

Colombia

7343%50%33%
7
Bolivia logo

Bolivia

4125%0%50%
8
Peru logo

Peru

7229%0%33%
9
Paraguay logo

Paraguay

5240%0%50%
10
Venezuela logo

Venezuela

4250%50%50%
#TeamMPOver 2.5OverallHomeAway
1
Argentina logo

Argentina

7686%100%0%
2
Uruguay logo

Uruguay

55100%100%100%
3
Ecuador logo

Ecuador

5360%0%75%
4
Brazil logo

Brazil

7686%83%100%
5
Chile logo

Chile

55100%100%100%
6
Colombia logo

Colombia

7686%75%100%
7
Bolivia logo

Bolivia

4250%50%50%
8
Peru logo

Peru

7343%0%50%
9
Paraguay logo

Paraguay

5360%0%75%
10
Venezuela logo

Venezuela

4375%50%100%
#TeamMPOver 2.5OverallHomeAway
1
Argentina logo

Argentina

7686%100%0%
2
Uruguay logo

Uruguay

55100%100%100%
3
Ecuador logo

Ecuador

55100%100%100%
4
Brazil logo

Brazil

77100%100%100%
5
Chile logo

Chile

55100%100%100%
6
Colombia logo

Colombia

7686%75%100%
7
Bolivia logo

Bolivia

4375%50%100%
8
Peru logo

Peru

7571%0%83%
9
Paraguay logo

Paraguay

5480%100%75%
10
Venezuela logo

Venezuela

44100%100%100%
#TeamMPOver 2.5OverallHomeAway
1
Argentina logo

Argentina

77100%100%100%
2
Uruguay logo

Uruguay

55100%100%100%
3
Ecuador logo

Ecuador

55100%100%100%
4
Brazil logo

Brazil

77100%100%100%
5
Chile logo

Chile

55100%100%100%
6
Colombia logo

Colombia

77100%100%100%
7
Bolivia logo

Bolivia

44100%100%100%
8
Peru logo

Peru

7686%0%100%
9
Paraguay logo

Paraguay

5480%100%75%
10
Venezuela logo

Venezuela

44100%100%100%

You can check out how often Argentina and Colombia matches in the Copa America go over or under a certain number of goals on this page. This is a handy tool to help predict how many goals they could potentially score when they meet in their upcoming match.

Here is an example of what we mean:

57% of Argentina’s matches in the Copa America have had more than 1.5 goals scored. And when we raise the line of total goals to 2.5, then the rate of matches that go over that number is 29%.

You can also check how many times the total has gone under. In Colombia’s case, 43% of their matches have seen under 1.5 goals scored. And in terms of matches with under 2.5 goals, the rate is 57%.

You can also see whether Argentina and Colombia matches go over or under a total number of goals when playing at home, away, or overall in Copa America.

The over/under goal analysis for Argentina vs Colombia offers valuable insights into each club's playing styles as well as a reasonable estimation of goals we could see in the match.

However, predicting the number of goals in a match does not always go the way the math says it will. It’s important to always consider other factors as well in order to get the best chance of making an accurate prediction.