Rosario vs AD Guanacasteca: result 4-1 and analysis
Liga de AscensoApertura - 7Kick-off on August 31, 2019 at 07:00 PM (UTC)
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What was the result of Rosario vs AD Guanacasteca?
Rosario won 4-1 on August 31, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Rosario have 2 wins, 2 draws and 2 defeats; AD Guanacasteca have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2019 | AD Santa Rosa(away) | 0-1 | Liga de Ascenso |
| Aug 17, 2019 | Municipal Liberia(home) | 1-1 | Liga de Ascenso |
| Aug 11, 2019 | Puntarenas FC(away) | 0-2 | Liga de Ascenso |
| Aug 8, 2019 | Barrio México(home) | 2-0 | Liga de Ascenso |
| Aug 3, 2019 | Deportivo Cartagena(home) | 3-2 | Liga de Ascenso |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2019 | Deportivo Cartagena(away) | 2-0 | Liga de Ascenso |
| Aug 18, 2019 | AD Carmelita(away) | 1-3 | Liga de Ascenso |
| Aug 14, 2019 | AD Cofutpa(home) | 1-1 | Liga de Ascenso |
| Aug 4, 2019 | Barrio México(away) | 2-3 | Liga de Ascenso |
| Jul 28, 2019 | AD Santa Rosa(home) | 0-1 | Liga de Ascenso |
How many goals should we expect?
Rosario score 1.3 and concede 1.3 goals per match over their last 6; AD Guanacasteca score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosario | 1.3 | 1.3 | 1 | 3/6 | 2/6 |
| AD Guanacasteca | 1.2 | 1.5 | 4 | 9/15 | 8/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Rosario | 26 | 11 | 6 | 9 | 38 | 35 | 39 |
A question about Rosario vs AD Guanacasteca?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy