Match

Dacia Unirea Braila vs Ripensia Timisoara: result 1-2 and analysis

Liga IIRegular Season - 1Kick-off on August 4, 2018 at 08:00 AM (UTC)Stadionul Municipal, Brăila

Dacia Unirea Braila
1-2
Ripensia Timisoara

Full time

What was the result of Dacia Unirea Braila vs Ripensia Timisoara?

Ripensia Timisoara won 1-2 on August 4, 2018.

Goalscorers

  • 40′G. MoneaRipensia Timisoara
  • 68′Lü YuefengDacia Unirea Braila
  • 86′A. DumiterRipensia Timisoara

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dacia Unirea Braila have 7 wins, 2 draws and 6 defeats; Ripensia Timisoara have 6, 1 and 8.

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

Dacia Unirea Braila
DateOpponentScoreCompetition
Jun 2, 2018Pandurii TG JIU(home)1-1Liga II
May 26, 2018Uta Arad(away)5-1Liga II
May 19, 2018Olimpia Satu Mare(home)3-0Liga II
May 17, 2018Dunarea Calarasi(away)0-2Liga II
May 13, 2018CS Afumati(home)1-2Liga II
Ripensia Timisoara
DateOpponentScoreCompetition
Jun 2, 2018Stiinta Miroslava(home)3-2Liga II
May 26, 2018FC Politehnica Timisoara(away)1-2Liga II
May 19, 2018Pandurii TG JIU(home)1-2Liga II
May 16, 2018Uta Arad(away)3-2Liga II
May 12, 2018Olimpia Satu Mare(home)3-0Liga II

What does the head-to-head say?

Across the last 2 meetings: 0 Dacia Unirea Braila win(s), 1 draw(s), 1 Ripensia Timisoara win(s).

DateScoreCompetition
Mar 11, 2018Ripensia Timisoara 2-1 Dacia Unirea BrailaLiga II
Aug 26, 2017Dacia Unirea Braila 2-2 Ripensia TimisoaraLiga II

Last archived meeting: Ripensia Timisoara vs Dacia Unirea Braila on Mar 11, 2018

How many goals should we expect?

Dacia Unirea Braila score 1.6 and concede 1.4 goals per match over their last 15; Ripensia Timisoara score 1.8 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dacia Unirea Braila1.61.457/158/15
Ripensia Timisoara1.81.8212/1514/15

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

Other matches in the same round

Ready to know everything about football?