AD Santa Rosa vs Barrio México: result 1-2 and analysis
Liga de AscensoApertura - 18Kick-off on November 10, 2019 at 06:00 PM (UTC)Cancha de Santa Rosa, Santa Cruz
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What was the result of AD Santa Rosa vs Barrio México?
Barrio México won 1-2 on November 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AD Santa Rosa have 3 wins, 5 draws and 7 defeats; Barrio México have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Municipal Liberia(away) | 1-1 | Liga de Ascenso |
| Oct 27, 2019 | Puntarenas FC(home) | 0-0 | Liga de Ascenso |
| Oct 23, 2019 | Deportivo Cartagena(home) | 1-2 | Liga de Ascenso |
| Oct 19, 2019 | Rosario(away) | 1-2 | Liga de Ascenso |
| Oct 5, 2019 | AD Carmelita(away) | 1-2 | Liga de Ascenso |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | AD Carmelita(home) | 1-0 | Liga de Ascenso |
| Oct 27, 2019 | Municipal Liberia(home) | 1-2 | Liga de Ascenso |
| Oct 20, 2019 | AD Cofutpa(away) | 1-1 | Liga de Ascenso |
| Oct 13, 2019 | Puntarenas FC(home) | 1-0 | Liga de Ascenso |
| Sep 29, 2019 | Rosario(home) | 1-1 | Liga de Ascenso |
What does the head-to-head say?
Across the last 1 meetings: 0 AD Santa Rosa win(s), 0 draw(s), 1 Barrio México win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2019 | Barrio México 3-0 AD Santa Rosa | Liga de Ascenso |
Last archived meeting: Barrio México vs AD Santa Rosa on Sep 15, 2019
How many goals should we expect?
AD Santa Rosa score 0.9 and concede 1.5 goals per match over their last 15; Barrio México score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AD Santa Rosa | 0.9 | 1.5 | 3 | 11/15 | 8/15 |
| Barrio México | 1.7 | 1.2 | 5 | 7/15 | 7/15 |
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