Match

Mixco vs Sayaxché: result 7-0 and analysis

Primera DivisionAperturaKick-off on October 30, 2016 at 10:00 PM (UTC)Estadio Cementos Progreso, Ciudad de Guatemala

Mixco
7-0
Sayaxché

Full time

What was the result of Mixco vs Sayaxché?

Mixco won 7-0 on October 30, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mixco have 6 wins, 5 draws and 4 defeats; Sayaxché have 5, 3 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Mixco
DateOpponentScoreCompetition
Oct 22, 2016Comunicaciones II(away)2-1Primera Division
Oct 19, 2016Deportivo Sanarate(home)1-3Primera Division
Oct 16, 2016Deportivo Jocotán(away)0-1Primera Division
Oct 9, 2016Quirigua(home)1-0Primera Division
Oct 1, 2016Aurora(home)1-1Primera Division
Sayaxché
DateOpponentScoreCompetition
Oct 23, 2016Aurora(home)2-0Primera Division
Oct 19, 2016Zacapa(away)0-3Primera Division
Oct 16, 2016Universidad San Carlos(home)3-0Primera Division
Oct 9, 2016Sacachispas(away)1-2Primera Division
Oct 2, 2016Quirigua(away)1-2Primera Division

What does the head-to-head say?

Across the last 6 meetings: 3 Mixco wins, 0 draws, 3 Sayaxché wins.

DateScoreCompetition
Sep 4, 2016Sayaxché 4-0 MixcoPrimera Division
Mar 23, 2016Sayaxché 2-1 MixcoPrimera Division
Feb 7, 2016Mixco 1-0 SayaxchéPrimera Division
Oct 11, 2015Sayaxché 2-0 MixcoPrimera Division
Aug 16, 2015Mixco 4-2 SayaxchéPrimera Division
Mar 15, 2015Mixco 3-0 SayaxchéPrimera Division

Last archived meeting: Sayaxché vs Mixco on Sep 4, 2016

How many goals should we expect?

Mixco score 1.1 and concede 1.1 goals per match over their last 15; Sayaxché score 1.3 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mixco1.11.157/156/15
Sayaxché1.31.566/159/15

Over the last 15 matches in all competitions.

A question about Mixco vs Sayaxché?

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

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