Mictlán vs Sansare: result 1-0 and analysis
Primera DivisionApertura - 1Kick-off on July 27, 2019 at 02:00 AM (UTC)Estadio La Asunción, Asunción Mita
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What was the result of Mictlán vs Sansare?
Mictlán won 1-0 on July 27, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mictlán have 2 wins, 7 draws and 6 defeats; Sansare have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2019 | Achuapa(home) | 1-1 | Primera Division |
| Apr 16, 2019 | Universidad San Carlos(away) | 0-0 | Primera Division |
| Apr 14, 2019 | Sacachispas(home) | 0-2 | Primera Division |
| Apr 7, 2019 | Mixco(away) | 1-2 | Primera Division |
| Mar 31, 2019 | Sansare(home) | 1-1 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2019 | Mixco(home) | 0-1 | Primera Division |
| May 5, 2019 | Quiché(home) | 2-3 | Primera Division |
| May 2, 2019 | Quiché(away) | 0-2 | Primera Division |
| Apr 28, 2019 | Sacachispas(home) | 2-1 | Primera Division |
| Apr 17, 2019 | Carchá(away) | 1-2 | Primera Division |
What does the head-to-head say?
Across the last 6 meetings: 2 Mictlán win(s), 3 draw(s), 1 Sansare win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2019 | Mictlán 1-1 Sansare | Primera Division |
| Feb 3, 2019 | Sansare 1-1 Mictlán | Primera Division |
| Nov 25, 2018 | Sansare 1-0 Mictlán | Primera Division |
| Sep 30, 2018 | Mictlán 3-1 Sansare | Primera Division |
| Apr 8, 2018 | Sansare 2-2 Mictlán | Primera Division |
| Feb 4, 2018 | Mictlán 1-0 Sansare | Primera Division |
How many goals should we expect?
Mictlán score 0.9 and concede 1.1 goals per match over their last 15; Sansare score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mictlán | 0.9 | 1.1 | 6 | 7/15 | 5/15 |
| Sansare | 0.9 | 1.3 | 3 | 7/15 | 5/15 |
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