Match

Sävedalen vs Örebro Syrianska: result 0-2 and analysis

Division 2 - Norra GötalandRegular Season - 18Kick-off on August 17, 2019 at 01:00 PM (UTC)Vallhamra IP, Sävedalen

Sävedalen
0-2
Örebro Syrianska

Full time

What was the result of Sävedalen vs Örebro Syrianska?

Örebro Syrianska won 0-2 on August 17, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sävedalen have 8 wins, 3 draws and 4 defeats; Örebro Syrianska have 10, 2 and 3.

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

Sävedalen
DateOpponentScoreCompetition
Aug 10, 2019Gauthiod(away)2-3Division 2 - Norra Götaland
Aug 3, 2019Vänersborgs IF(home)4-2Division 2 - Norra Götaland
Jul 3, 2019Stenungsund(home)1-0Division 2 - Norra Götaland
Jun 29, 2019Vårgårda(away)2-1Division 2 - Norra Götaland
Jun 20, 2019Lidköping(home)8-2Division 2 - Norra Götaland
Örebro Syrianska
DateOpponentScoreCompetition
Aug 10, 2019IFK Tidaholm(home)2-1Division 2 - Norra Götaland
Aug 3, 2019Torslanda(away)4-0Division 2 - Norra Götaland
Jul 6, 2019Uddevalla(away)1-0Division 2 - Norra Götaland
Jun 29, 2019Grebbestad(home)0-3Division 2 - Norra Götaland
Jun 22, 2019Gauthiod(home)3-1Division 2 - Norra Götaland

What does the head-to-head say?

In the last meeting: 0 Sävedalen wins, 1 draw, 0 Örebro Syrianska wins.

DateScoreCompetition
May 4, 2019Örebro Syrianska 1-1 SävedalenDivision 2 - Norra Götaland

Last archived meeting: Örebro Syrianska vs Sävedalen on May 4, 2019

How many goals should we expect?

Sävedalen score 2.3 and concede 1.3 goals per match over their last 15; Örebro Syrianska score 2.7 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sävedalen2.31.3410/158/15
Örebro Syrianska2.71.058/1511/15

Over the last 15 matches in all competitions.

A question about Sävedalen vs Örebro Syrianska?

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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