Argentina vs Mexico: result 4-0 and analysis
FriendliesFriendlies 1Kick-off on September 11, 2019 at 02:00 AM (UTC)Estadio Mâs Monumental, Buenos Aires
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What was the result of Argentina vs Mexico?
Argentina won 4-0 on September 11, 2019.
Goalscorers
- 17′Lautaro MartínezArgentina
- 22′Lautaro MartínezArgentina
- 33′L. ParedesArgentina (pen.)
- 39′Lautaro MartínezArgentina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Argentina have 8 wins, 3 draws and 4 defeats; Mexico have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2019 | Chile(away) | 0-0 | Friendlies |
| Jul 6, 2019 | Chile(home) | 2-1 | Copa America |
| Jul 3, 2019 | Brazil(away) | 0-2 | Copa America |
| Jun 28, 2019 | Venezuela(away) | 2-0 | Copa America |
| Jun 23, 2019 | Qatar(away) | 2-0 | Copa America |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | USA(away) | 3-0 | Friendlies |
| Jul 8, 2019 | USA(home) | 1-0 | CONCACAF Gold Cup |
| Jul 3, 2019 | Haiti(away) | 1-0 | CONCACAF Gold Cup |
| Jun 30, 2019 | Costa Rica(home) | 1-1 | CONCACAF Gold Cup |
| Jun 24, 2019 | Martinique(away) | 3-2 | CONCACAF Gold Cup |
What does the head-to-head say?
Across the last 3 meetings: 3 Argentina win(s), 0 draw(s), 0 Mexico win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 21, 2018 | Argentina 2-0 Mexico | Friendlies |
| Nov 17, 2018 | Argentina 2-0 Mexico | Friendlies |
| Jun 27, 2010 | Argentina 3-1 Mexico | World Cup |
How many goals should we expect?
Argentina score 1.5 and concede 0.7 goals per match over their last 15; Mexico score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Argentina | 1.5 | 0.7 | 8 | 4/15 | 4/15 |
| Mexico | 2.3 | 1.1 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy