Match

Sfîntul Gheorghe vs Dinamo-Auto: result 1-0 and analysis

Super LigaRegular Season - 21Kick-off on September 15, 2019 at 01:00 PM (UTC)Stadionul Sătesc, Suruceni

Sfîntul Gheorghe
1-0
Dinamo-Auto

Full time

What was the result of Sfîntul Gheorghe vs Dinamo-Auto?

Sfîntul Gheorghe won 1-0 on September 15, 2019.

Goalscorers

  • 75′D. MandrîcencoSfîntul Gheorghe

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sfîntul Gheorghe have 10 wins, 2 draws and 3 defeats; Dinamo-Auto have 5, 3 and 7.

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

Sfîntul Gheorghe
DateOpponentScoreCompetition
Sep 1, 2019Zimbru(away)1-0Super Liga
Aug 24, 2019Sheriff Tiraspol(away)1-2Super Liga
Aug 18, 2019Petrocub(away)2-0Super Liga
Aug 10, 2019Codru Lozova(home)1-0Super Liga
Aug 4, 2019Speranţa Nisporeni(away)2-1Super Liga
Dinamo-Auto
DateOpponentScoreCompetition
Aug 31, 2019Milsami Orhei(home)1-0Super Liga
Aug 25, 2019Speranţa Nisporeni(home)3-4Super Liga
Aug 17, 2019Zimbru(away)2-2Super Liga
Aug 11, 2019Sheriff Tiraspol(home)0-3Super Liga
Aug 3, 2019Petrocub(away)0-3Super Liga

What does the head-to-head say?

Across the last 6 meetings: 2 Sfîntul Gheorghe win(s), 1 draw(s), 3 Dinamo-Auto win(s).

DateScoreCompetition
Jun 22, 2019Dinamo-Auto 3-0 Sfîntul GheorgheSuper Liga
Apr 27, 2019Sfîntul Gheorghe 3-1 Dinamo-AutoSuper Liga
Sep 30, 2018Dinamo-Auto 3-1 Sfîntul GheorgheSuper Liga
Aug 4, 2018Sfîntul Gheorghe 5-2 Dinamo-AutoSuper Liga
May 20, 2018Dinamo-Auto 0-0 Sfîntul GheorgheSuper Liga
Apr 1, 2018Sfîntul Gheorghe 0-1 Dinamo-AutoSuper Liga

Last archived meeting: Dinamo-Auto vs Sfîntul Gheorghe on Jun 22, 2019

How many goals should we expect?

Sfîntul Gheorghe score 1.3 and concede 1.0 goals per match over their last 15; Dinamo-Auto score 1.4 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sfîntul Gheorghe1.31.076/157/15
Dinamo-Auto1.41.665/1510/15

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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