Match

Sayaxché vs Mixco: result 4-0 and analysis

Primera DivisionAperturaKick-off on September 4, 2016 at 05:00 PM (UTC)Estadio Municipal La Pasión, Sayaxché

Sayaxché
4-0
Mixco

Full time

What was the result of Sayaxché vs Mixco?

Sayaxché won 4-0 on September 4, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sayaxché have 6 wins, 2 draws and 7 defeats; Mixco have 3, 8 and 4.

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

Sayaxché
DateOpponentScoreCompetition
Aug 27, 2016Aurora(away)0-4Primera Division
Aug 24, 2016Zacapa(home)4-3Primera Division
Aug 21, 2016Universidad San Carlos(away)1-2Primera Division
Aug 14, 2016Sacachispas(home)0-0Primera Division
Aug 7, 2016Quirigua(home)2-4Primera Division
Mixco
DateOpponentScoreCompetition
Aug 28, 2016Comunicaciones II(home)1-1Primera Division
Aug 24, 2016Deportivo Sanarate(away)2-1Primera Division
Aug 21, 2016Deportivo Jocotán(home)1-0Primera Division
Aug 14, 2016Quirigua(away)2-2Primera Division
Aug 6, 2016Aurora(away)2-2Primera Division

What does the head-to-head say?

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

DateScoreCompetition
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
Jan 25, 2015Sayaxché 1-0 MixcoPrimera Division

Last archived meeting: Sayaxché vs Mixco on Mar 23, 2016

How many goals should we expect?

Sayaxché score 1.4 and concede 2.1 goals per match over their last 15; Mixco score 1.1 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sayaxché1.42.1210/1511/15
Mixco1.11.1410/156/15

Over the last 15 matches in all competitions.

A question about Sayaxché vs Mixco?

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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