Match

Åssiden IF vs Ullensaker / Kisa II: result 6-0 and analysis

3. Division - Girone 3Group 3 · Matchday 4Kick-off on April 28, 2025 at 05:00 PM (UTC)Åssiden Stadion, Drammen

Åssiden IF
6-0
Ullensaker / Kisa II

Full time

What was the result of Åssiden IF vs Ullensaker / Kisa II?

Åssiden IF won 6-0 on April 28, 2025.

Goalscorers

  • 6′?Åssiden IF
  • 45′?Åssiden IF
  • 47′?Åssiden IF
  • 56′?Åssiden IF
  • 71′?Åssiden IF
  • 86′?Åssiden IF

What is the recent form of both teams?

Over their last 15 matches in all competitions, Åssiden IF have 5 wins, 4 draws and 6 defeats; Ullensaker / Kisa II have 2, 2 and 11.

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

Åssiden IF
DateOpponentScoreCompetition
Apr 21, 2025Skedsmo(away)3-43. Division - Girone 3
Apr 12, 2025Mjondalen(home)1-4NM Cupen
Apr 5, 2025Gjøvik-Lyn(away)0-23. Division - Girone 3
Mar 29, 2025Bjørkelangen(home)2-23. Division - Girone 3
Oct 26, 2024Bærum(home)3-13. Division - Girone 3
Ullensaker / Kisa II
DateOpponentScoreCompetition
Apr 21, 2025Bjørkelangen(home)1-23. Division - Girone 3
Apr 6, 2025Lillehammer(away)1-63. Division - Girone 3
Mar 30, 2025Skjetten(home)0-53. Division - Girone 3
Oct 30, 2021Grorud II(home)1-03. Division - Girone 1
Oct 23, 2021Kongsvinger II(away)0-23. Division - Girone 1

How many goals should we expect?

Åssiden IF score 1.7 and concede 2.3 goals per match over their last 15; Ullensaker / Kisa II score 0.8 and concede 2.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Åssiden IF1.72.3112/1512/15
Ullensaker / Kisa II0.82.726/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Åssiden IF sit 13th in 3. Division - Girone 3 (18 points from 26 matches) and Ullensaker / Kisa II sit 14th (10 points from 26 matches).

2025 standings
#ClubPWDLGFGAPts
13Åssiden IF265318457018
14Ullensaker / Kisa II2631223012110

A question about Åssiden IF vs Ullensaker / Kisa II?

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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