Match

Säffle SK vs Stenungsund: result 0-2 and analysis

Division 2 - Norra GötalandNorra Götaland - 1Kick-off on March 29, 2024 at 01:00 PM (UTC)Sporthälla IP A-plan, Säffle

Säffle SK
0-2
Stenungsund

Full time

What was the result of Säffle SK vs Stenungsund?

Stenungsund won 0-2 on March 29, 2024.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Säffle SK have 4 wins, 4 draws and 7 defeats; Stenungsund have 4, 3 and 8.

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

Säffle SK
DateOpponentScoreCompetition
Oct 21, 2023Zenith(away)0-0Division 2 - Norra Götaland
Oct 15, 2023Yxhult(home)3-2Division 2 - Norra Götaland
Oct 7, 2023Grebbestad(home)4-1Division 2 - Norra Götaland
Oct 1, 2023Torslanda(away)0-5Division 2 - Norra Götaland
Sep 24, 2023IFK Skövde(home)1-1Division 2 - Norra Götaland
Stenungsund
DateOpponentScoreCompetition
Feb 3, 2024Oddevold(away)1-2Friendlies Clubs
Oct 21, 2023Herrestads(away)1-2Division 2 - Norra Götaland
Oct 13, 2023Vänersborgs FK(home)1-1Division 2 - Norra Götaland
Oct 7, 2023Torslanda(away)0-3Division 2 - Norra Götaland
Oct 1, 2023Lidköping(away)2-2Division 2 - Norra Götaland

What does the head-to-head say?

Across the last 2 meetings: 0 Säffle SK wins, 0 draws, 2 Stenungsund wins.

DateScoreCompetition
Aug 13, 2023Stenungsund 4-1 Säffle SKDivision 2 - Norra Götaland
Apr 15, 2023Säffle SK 1-3 StenungsundDivision 2 - Norra Götaland

Last archived meeting: Stenungsund vs Säffle SK on Aug 13, 2023

How many goals should we expect?

Säffle SK score 1.1 and concede 1.5 goals per match over their last 15; Stenungsund score 1.4 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Säffle SK1.11.546/156/15
Stenungsund1.41.8010/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
7Stenungsund251069463436

A question about Säffle SK vs Stenungsund?

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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