Match

Dinamo-Auto vs Sfîntul Gheorghe: result 3-1 and analysis

Super LigaRegular Season - 22Kick-off on September 30, 2018 at 12:30 PM (UTC)Stadionul Dinamo-Auto, Ternovca

Dinamo-Auto
3-1
Sfîntul Gheorghe

Full time

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

Dinamo-Auto won 3-1 on September 30, 2018.

Goalscorers

  • 11′B. BoychukDinamo-Auto
  • 17′Denis JanuDinamo-Auto
  • 23′P. OjogSfîntul Gheorghe
  • 77′Eugeniu RebenjaDinamo-Auto

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dinamo-Auto have 1 wins, 5 draws and 9 defeats; Sfîntul Gheorghe have 3, 4 and 8.

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

Dinamo-Auto
DateOpponentScoreCompetition
Sep 22, 2018Milsami Orhei(home)1-0Super Liga
Sep 15, 2018Petrocub(away)0-3Super Liga
Sep 1, 2018Zimbru(home)1-1Super Liga
Aug 26, 2018Sheriff Tiraspol(away)0-2Super Liga
Aug 19, 2018Speranţa Nisporeni(away)0-1Super Liga
Sfîntul Gheorghe
DateOpponentScoreCompetition
Sep 22, 2018Speranţa Nisporeni(away)1-4Super Liga
Sep 15, 2018Zaria Balti(home)1-0Super Liga
Sep 2, 2018Sheriff Tiraspol(home)1-3Super Liga
Aug 26, 2018Milsami Orhei(away)0-3Super Liga
Aug 19, 2018Petrocub(home)0-1Super Liga

What does the head-to-head say?

Across the last 5 meetings: 1 Dinamo-Auto win(s), 2 draw(s), 2 Sfîntul Gheorghe win(s).

DateScoreCompetition
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
Oct 15, 2017Sfîntul Gheorghe 1-0 Dinamo-AutoSuper Liga
Jul 29, 2017Dinamo-Auto 2-2 Sfîntul GheorgheSuper Liga

Last archived meeting: Sfîntul Gheorghe vs Dinamo-Auto on Aug 4, 2018

How many goals should we expect?

Dinamo-Auto score 0.7 and concede 2.1 goals per match over their last 15; Sfîntul Gheorghe score 1.0 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dinamo-Auto0.72.126/157/15
Sfîntul Gheorghe1.01.838/158/15

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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