Match

Ull/Kisa vs Rosenborg: result 1-2 and analysis

NM Cupen3rd RoundKick-off on June 19, 2019 at 04:00 PM (UTC)Jessheim Stadion, Jessheim

Ull/Kisa
1-2
Rosenborg

Full time

What was the result of Ull/Kisa vs Rosenborg?

Rosenborg won 1-2 on June 19, 2019.

Goalscorers

  • 65′O. Kristian LangåsUll/Kisa
  • 72′D. AkintolaRosenborg
  • 102′S. AdegbenroRosenborg

Official lineup for Ull/Kisa vs Rosenborg

The starting elevens fielded at kick-off.

Ull/Kisa

  1. OO. Kristian Langås
  2. OO. Nesset
  3. MM. Trøen
  1. NN. Walstad
  2. MM. Torp
  3. CChristian Aas
  4. EE. Kitolano
  1. MMorten Sundli
  2. EE. Garnås
  3. LL. Ranger
  1. SS. Hagerup

Rosenborg

  1. ĐĐ. Denić
  2. AA. Søderlund
  3. DD. Akintola
  1. MM. Jensen
  2. AA. Konradsen
  3. GG. Åsen
  4. SS. Adegbenro
  1. TTore Reginiussen
  2. VV. Hedenstad
  3. GG. Valsvik
  1. AA. Østbø
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Ull/Kisa have 7 wins, 2 draws and 6 defeats; Rosenborg have 6, 4 and 5.

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

Ull/Kisa
DateOpponentScoreCompetition
Jun 16, 2019Raufoss(home)5-11. Division
Jun 2, 2019Aalesund(away)0-11. Division
May 25, 2019Ham-Kam(home)0-01. Division
May 22, 2019Lørenskog(away)3-1NM Cupen
May 16, 2019Notodden(home)3-11. Division
Rosenborg
DateOpponentScoreCompetition
Jun 16, 2019Valerenga(home)3-0Eliteserien
May 26, 2019Brann(away)1-0Eliteserien
May 22, 2019Tiller(away)3-0NM Cupen
May 19, 2019Mjondalen(home)3-2Eliteserien
May 16, 2019Haugesund(home)0-2Eliteserien

How many goals should we expect?

Ull/Kisa score 2.0 and concede 1.3 goals per match over their last 15; Rosenborg score 1.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ull/Kisa2.01.337/158/15
Rosenborg1.21.156/156/15

Over the last 15 matches in all competitions.

A question about Ull/Kisa vs Rosenborg?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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