Match

Mictlán vs Sacachispas: result 1-1 and analysis

Primera DivisionApertura - 13Kick-off on October 1, 2023 at 02:00 AM (UTC)Estadio La Asunción, Asunción Mita

Mictlán
1-1
Sacachispas

Full time

What was the result of Mictlán vs Sacachispas?

Mictlán and Sacachispas drew 1-1 on October 1, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mictlán have 5 wins, 2 draws and 8 defeats; Sacachispas have 5, 8 and 2.

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

Mictlán
DateOpponentScoreCompetition
Sep 27, 2023Juventud Pinulteca(away)0-3Primera Division
Sep 24, 2023Deportivo Barberena(away)0-2Primera Division
Sep 17, 2023Cuilapa(home)1-0Primera Division
Sep 14, 2023San Benito(home)1-0Primera Division
Sep 10, 2023Universidad San Carlos(away)0-4Primera Division
Sacachispas
DateOpponentScoreCompetition
Sep 28, 2023Deportivo Barberena(home)1-0Primera Division
Sep 24, 2023Cuilapa(away)0-3Primera Division
Sep 17, 2023San Benito(home)0-0Primera Division
Sep 14, 2023Universidad San Carlos(home)1-1Primera Division
Sep 10, 2023Fraijanes(away)1-0Primera Division

What does the head-to-head say?

Across the last 6 meetings: 2 Mictlán win(s), 4 draw(s), 0 Sacachispas win(s).

DateScoreCompetition
Aug 17, 2023Sacachispas 1-1 MictlánPrimera Division
Apr 22, 2023Mictlán 1-1 SacachispasPrimera Division
Feb 26, 2023Sacachispas 0-1 MictlánPrimera Division
Oct 1, 2022Mictlán 2-1 SacachispasPrimera Division
Aug 20, 2022Sacachispas 0-0 MictlánPrimera Division
Apr 10, 2022Sacachispas 0-0 MictlánPrimera Division

Last archived meeting: Sacachispas vs Mictlán on Aug 17, 2023

How many goals should we expect?

Mictlán score 0.6 and concede 1.5 goals per match over their last 15; Sacachispas score 0.7 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mictlán0.61.553/154/15
Sacachispas0.70.685/151/15

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

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