Sololá vs Rosario: result 2-0 and analysis
Primera DivisionAperturaKick-off on November 12, 2017 at 05:00 PM (UTC)Estadio Xambá, Sololá
Full time
What was the result of Sololá vs Rosario?
Sololá won 2-0 on November 12, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sololá have 7 wins, 2 draws and 6 defeats; Rosario have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2017 | Deportivo Chiantla(away) | 0-1 | Primera Division |
| Oct 29, 2017 | Santa Lucía(home) | 0-1 | Primera Division |
| Oct 25, 2017 | Barillas(away) | 2-4 | Primera Division |
| Oct 22, 2017 | Escuintla(home) | 3-0 | Primera Division |
| Oct 14, 2017 | Chimaltenango(away) | 2-0 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2017 | Deportivo Reu(home) | 3-2 | Primera Division |
| Oct 29, 2017 | Nueva Concepción(away) | 0-4 | Primera Division |
| Oct 25, 2017 | Iztapa(away) | 1-2 | Primera Division |
| Oct 22, 2017 | Deportivo Chiantla(home) | 0-0 | Primera Division |
| Oct 15, 2017 | Santa Lucía(away) | 2-1 | Primera Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Sololá win(s), 0 draw(s), 0 Rosario win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2017 | Rosario 2-3 Sololá | Primera Division |
How many goals should we expect?
Sololá score 1.5 and concede 1.2 goals per match over their last 15; Rosario score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sololá | 1.5 | 1.2 | 4 | 7/15 | 7/15 |
| Rosario | 1.0 | 1.3 | 5 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Sololá | 18 | 4 | 1 | 13 | 16 | 64 | 13 |
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