Mixco vs Sayaxché: result 2-0 and analysis
Primera DivisionApertura - 5Kick-off on October 31, 2020 at 10:00 PM (UTC)Estadio Julio Armando Cóbar, San Miguel Petapa
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What was the result of Mixco vs Sayaxché?
Mixco won 2-0 on October 31, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mixco have 7 wins, 2 draws and 6 defeats; Sayaxché have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Aurora(away) | 2-1 | Primera Division |
| Oct 18, 2020 | Carchá(away) | 2-1 | Primera Division |
| Oct 11, 2020 | Mictlán(home) | 3-2 | Primera Division |
| Mar 15, 2020 | Xelajú(home) | 1-0 | Liga Nacional |
| Mar 11, 2020 | Santa Lucía(away) | 0-2 | Liga Nacional |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2020 | Mictlán(away) | 0-1 | Primera Division |
| Oct 14, 2020 | Carchá(away) | 2-1 | Primera Division |
| Oct 11, 2020 | Aurora(home) | 2-1 | Primera Division |
| May 14, 2017 | Rosario(away) | 2-3 | Primera Division |
| May 7, 2017 | Universidad San Carlos(home) | 0-1 | Primera Division |
What does the head-to-head say?
Across the last 6 meetings: 2 Mixco win(s), 1 draw(s), 3 Sayaxché win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 19, 2017 | Sayaxché 2-1 Mixco | Primera Division |
| Jan 22, 2017 | Mixco 0-0 Sayaxché | Primera Division |
| Oct 30, 2016 | Mixco 7-0 Sayaxché | Primera Division |
| Sep 4, 2016 | Sayaxché 4-0 Mixco | Primera Division |
| Mar 23, 2016 | Sayaxché 2-1 Mixco | Primera Division |
| Feb 7, 2016 | Mixco 1-0 Sayaxché | Primera Division |
How many goals should we expect?
Mixco score 1.3 and concede 1.1 goals per match over their last 15; Sayaxché score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mixco | 1.3 | 1.1 | 3 | 7/15 | 6/15 |
| Sayaxché | 0.8 | 1.5 | 1 | 6/15 | 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