Match

Uppsala vs Kungsängen: result 0-2 and analysis

Division 2 - Norra SvealandNorra Svealand - 16Kick-off on August 12, 2023 at 11:00 AM (UTC)Österängens IP, Uppsala

Uppsala
0-2
Kungsängen

Full time

What was the result of Uppsala vs Kungsängen?

Kungsängen won 0-2 on August 12, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Uppsala have 0 wins, 3 draws and 12 defeats; Kungsängen have 5, 1 and 9.

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

Uppsala
DateOpponentScoreCompetition
Aug 5, 2023Karlberg(home)1-6Division 2 - Norra Svealand
Jul 29, 2023Skiljebo(away)2-6Division 2 - Norra Svealand
Jun 30, 2023Tyresö W(away)1-2Svenska Cupen
Jun 21, 2023Viggbyholms IK(home)0-3Division 2 - Norra Svealand
Jun 17, 2023Gute(home)1-3Division 2 - Norra Svealand
Kungsängen
DateOpponentScoreCompetition
Aug 6, 2023Sandvikens AIK(away)0-5Division 2 - Norra Svealand
Jul 29, 2023Gute(home)0-0Division 2 - Norra Svealand
Jul 22, 2023Sollentuna(away)0-5Friendlies Clubs
Jun 21, 2023IFK Österåker(away)2-4Division 2 - Norra Svealand
Jun 17, 2023Franke(home)2-0Division 2 - Norra Svealand

What does the head-to-head say?

Across the last 3 meetings: 0 Uppsala wins, 1 draw, 2 Kungsängen wins.

DateScoreCompetition
Apr 15, 2023Kungsängen 4-0 UppsalaDivision 2 - Norra Svealand
Sep 4, 2022Uppsala 3-6 KungsängenDivision 2 - Norra Svealand
May 14, 2022Kungsängen 1-1 UppsalaDivision 2 - Norra Svealand

Last archived meeting: Kungsängen vs Uppsala on Apr 15, 2023

How many goals should we expect?

Uppsala score 0.7 and concede 3.2 goals per match over their last 15; Kungsängen score 1.1 and concede 2.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Uppsala0.73.219/1512/15
Kungsängen1.12.246/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
10Kungsängen2551010303925

A question about Uppsala vs Kungsängen?

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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