Match

Mjøndalen II vs Åskollen: result 4-1 and analysis

3. Division - Girone 4Group 4 - 15Kick-off on August 14, 2023 at 05:00 PM (UTC)Consto Arena, Mjøndalen

Mjøndalen II
4-1
Åskollen

Full time

What was the result of Mjøndalen II vs Åskollen?

Mjøndalen II won 4-1 on August 14, 2023.

Goalscorers

  • 22′?Mjøndalen II
  • 44′?Mjøndalen II
  • 54′?Mjøndalen II
  • 58′?Mjøndalen II
  • 64′151144Åskollen

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mjøndalen II have 3 wins, 3 draws and 9 defeats; Åskollen have 7, 0 and 8.

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

Mjøndalen II
DateOpponentScoreCompetition
Aug 6, 2023Vindbjart(away)3-33. Division - Girone 4
Jul 29, 2023Donn(home)5-13. Division - Girone 4
Jul 24, 2023Sandefjord II(away)1-33. Division - Girone 4
Jun 25, 2023Sprint-Jeløy(home)2-43. Division - Girone 4
Jun 17, 2023Randesund(away)0-33. Division - Girone 4
Åskollen
DateOpponentScoreCompetition
Aug 5, 2023Randesund(home)3-13. Division - Girone 4
Jul 29, 2023Halsen(away)1-23. Division - Girone 4
Jul 22, 2023Pors Grenland(home)1-23. Division - Girone 4
Jun 24, 2023Mandalskameratene(away)0-23. Division - Girone 4
Jun 19, 2023Odd II(home)6-43. Division - Girone 4

What does the head-to-head say?

In the last meeting: 0 Mjøndalen II wins, 0 draws, 1 Åskollen win.

DateScoreCompetition
Apr 25, 2023Åskollen 5-2 Mjøndalen II3. Division - Girone 4

Last archived meeting: Åskollen vs Mjøndalen II on Apr 25, 2023

How many goals should we expect?

Mjøndalen II score 1.5 and concede 2.9 goals per match over their last 15; Åskollen score 2.2 and concede 2.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mjøndalen II1.52.9110/1511/15
Åskollen2.22.7211/1513/15

Over the last 15 matches in all competitions.

A question about Mjøndalen II vs Åskollen?

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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