Match

Dacia Unirea Braila vs ACS Foresta Suceava: result 4-1 and analysis

Liga IIRegular Season - 28Kick-off on April 8, 2017 at 08:00 AM (UTC)Stadionul Municipal, Brăila

Dacia Unirea Braila
4-1
ACS Foresta Suceava

Full time

What was the result of Dacia Unirea Braila vs ACS Foresta Suceava?

Dacia Unirea Braila won 4-1 on April 8, 2017.

Goalscorers

  • 18′C. RoșuDacia Unirea Braila
  • 42′A. PușcașuDacia Unirea Braila
  • 60′R. AdăscăliţeiDacia Unirea Braila
  • 69′Constantin Dudu DrugăACS Foresta Suceava
  • 90′Costin CiucureanuDacia Unirea Braila

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dacia Unirea Braila have 7 wins, 3 draws and 5 defeats; ACS Foresta Suceava have 4, 2 and 9.

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

Dacia Unirea Braila
DateOpponentScoreCompetition
Apr 1, 2017CSM Ramnicu Valcea(away)3-0Liga II
Mar 25, 2017Chindia Targoviste(home)0-2Liga II
Mar 11, 2017CS Balotesti(home)1-1Liga II
Mar 4, 2017FC Politehnica Timisoara(away)1-1Liga II
Feb 26, 2017Uta Arad(home)2-1Liga II
ACS Foresta Suceava
DateOpponentScoreCompetition
Apr 1, 2017FC Clinceni(home)2-0Liga II
Mar 25, 2017CSM Ramnicu Valcea(home)3-0Liga II
Mar 18, 2017Chindia Targoviste(away)1-2Liga II
Mar 4, 2017CS Balotesti(away)0-2Liga II
Feb 25, 2017FC Politehnica Timisoara(home)2-2Liga II

What does the head-to-head say?

Across the last 1 meetings: 0 Dacia Unirea Braila win(s), 0 draw(s), 1 ACS Foresta Suceava win(s).

DateScoreCompetition
Sep 24, 2016ACS Foresta Suceava 4-0 Dacia Unirea BrailaLiga II

Last archived meeting: ACS Foresta Suceava vs Dacia Unirea Braila on Sep 24, 2016

How many goals should we expect?

Dacia Unirea Braila score 1.1 and concede 0.9 goals per match over their last 15; ACS Foresta Suceava score 2.0 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dacia Unirea Braila1.10.946/155/15
ACS Foresta Suceava2.01.737/159/15

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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