Match

São Mateus vs Serra Talhada: result 1-2 and analysis

Capixaba1st Round - 5Kick-off on April 14, 2021 at 06:00 PM (UTC)Estádio Manoel Moreira Sobrinho, São Mateus, Espírito Santo

São Mateus
1-2
Serra Talhada

Full time

What was the result of São Mateus vs Serra Talhada?

Serra Talhada won 1-2 on April 14, 2021.

Goalscorers

  • 38′RodriguinhoSerra Talhada
  • 90′?Serra Talhada (pen.)
  • 90′?São Mateus

What is the recent form of both teams?

Over their last 15 matches in all competitions, São Mateus have 4 wins, 2 draws and 9 defeats; Serra Talhada have 5, 2 and 8.

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

São Mateus
DateOpponentScoreCompetition
Apr 10, 2021Pinheiros(away)3-0Capixaba
Mar 13, 2021Real Noroeste(away)0-2Capixaba
Mar 4, 2021Estrela do Norte(home)0-4Capixaba
Feb 27, 2021Rio Branco ES(away)0-3Capixaba
Nov 29, 2020Rio Branco-VN(away)0-3Capixaba
Serra Talhada
DateOpponentScoreCompetition
Apr 10, 2021Estrela do Norte(home)1-2Capixaba
Mar 13, 2021Rio Branco ES(away)5-0Capixaba
Mar 6, 2021Vitória ES(home)0-2Capixaba
Feb 28, 2021Rio Branco-VN(away)0-2Capixaba
Dec 2, 2020Real Noroeste(away)2-1Capixaba

What does the head-to-head say?

In the last meeting: 0 São Mateus wins, 1 draw, 0 Serra Talhada wins.

DateScoreCompetition
Feb 20, 2020Serra Talhada 1-1 São MateusCapixaba

Last archived meeting: Serra Talhada vs São Mateus on Feb 20, 2020

How many goals should we expect?

São Mateus score 0.7 and concede 1.7 goals per match over their last 15; Serra Talhada score 1.2 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
São Mateus0.71.744/156/15
Serra Talhada1.21.537/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
2Serra Talhada942310614

A question about São Mateus vs Serra Talhada?

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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