Match

Humaitá vs São Francisco: result 8-0 and analysis

Acreano2nd Phase - 2Kick-off on September 3, 2020 at 12:00 AM (UTC)Arena Acreana, Rio Branco, Acre

Humaitá
8-0
São Francisco

Full time

What was the result of Humaitá vs São Francisco?

Humaitá won 8-0 on September 3, 2020.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Humaitá have 4 wins, 2 draws and 9 defeats; São Francisco have 3, 0 and 12.

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

Humaitá
DateOpponentScoreCompetition
Aug 30, 2020Rio Branco(away)1-3Acreano
Aug 26, 2020Atlético Acreano(home)1-3Acreano
Aug 17, 2020Andirá(away)2-4Acreano
Mar 12, 2020Atlético Acreano(away)0-2Acreano
Mar 8, 2020Vasco da Gama AC(away)4-1Acreano
São Francisco
DateOpponentScoreCompetition
Aug 30, 2020Náuas(home)0-3Acreano
Aug 26, 2020Galvez(away)0-7Acreano
Aug 16, 2020Vasco da Gama AC(home)3-1Acreano
Mar 1, 2020Andirá(home)1-4Acreano
Feb 16, 2020Plácido de Castro(home)1-4Acreano

What does the head-to-head say?

Across the last 2 meetings: 2 Humaitá wins, 0 draws, 0 São Francisco wins.

DateScoreCompetition
Feb 28, 2019São Francisco 1-2 HumaitáAcreano
Feb 22, 2018São Francisco 0-3 HumaitáAcreano

Last archived meeting: São Francisco vs Humaitá on Feb 28, 2019

How many goals should we expect?

Humaitá score 1.4 and concede 2.5 goals per match over their last 15; São Francisco score 1.2 and concede 3.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Humaitá1.42.529/1511/15
São Francisco1.23.519/1515/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Humaitá sit 2nd in Acreano (15 points from 7 matches) and São Francisco sit 8th (4 points from 7 matches).

2026 standings
#ClubPWDLGFGAPts
2Humaitá743015315
8São Francisco71154264

A question about Humaitá vs São Francisco?

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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