Match

Skeid vs Levanger: prediction and stats

2. Division - Group 2Group 2 - 25Kick-off on October 23, 2021 at 11:00 AM (UTC)Nordre Åsen kunstgress, Oslo

SkeidLevanger

Match postponed, new date to be confirmed

What is the recent form of both teams?

Over their last 15 matches in all competitions, Skeid have 9 wins, 3 draws and 3 defeats; Levanger have 7, 3 and 5.

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

Skeid
DateOpponentScoreCompetition
Oct 16, 2021Nardo(away)4-02. Division - Group 2
Oct 10, 2021Egersund(away)2-22. Division - Group 2
Oct 4, 2021Odd II(home)2-02. Division - Group 2
Sep 29, 2021Notodden(away)3-22. Division - Group 2
Sep 25, 2021Arendal(away)2-22. Division - Group 2
Levanger
DateOpponentScoreCompetition
Oct 17, 2021Flekkerøy(home)1-02. Division - Group 2
Oct 10, 2021Odd II(away)6-02. Division - Group 2
Oct 3, 2021Vard(home)3-42. Division - Group 2
Sep 26, 2021Øygarden(away)2-22. Division - Group 2
Sep 19, 2021Egersund(home)0-12. Division - Group 2

What does the head-to-head say?

Across the last 2 meetings: 2 Skeid wins, 0 draws, 0 Levanger wins.

DateScoreCompetition
Sep 11, 2021Skeid 2-1 Levanger2. Division - Group 2
Jul 21, 2021Levanger 1-2 Skeid2. Division - Group 2

Last archived meeting: Skeid vs Levanger on Sep 11, 2021

How many goals should we expect?

Skeid score 2.1 and concede 0.9 goals per match over their last 15; Levanger score 1.9 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skeid2.10.977/1510/15
Levanger1.91.267/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Skeid sit 11th in 2. Division - Group 2 (20 points from 23 matches) and Levanger sit 3rd (46 points from 23 matches).

2026 standings
#ClubPWDLGFGAPts
3Levanger231517532746
11Skeid236215335220

A question about Skeid vs Levanger?

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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