Match

Tromsdalen Uil vs Floro: result 1-0 and analysis

1. DivisionRegular Season - 12Kick-off on June 11, 2017 at 04:00 PM (UTC)TUIL Arena, Tromsø

Tromsdalen Uil
1-0
Floro

Full time

What was the result of Tromsdalen Uil vs Floro?

Tromsdalen Uil won 1-0 on June 11, 2017.

Goalscorers

  • 51′H. KjæveTromsdalen Uil

Official lineup for Tromsdalen Uil vs Floro

The starting elevens fielded at kick-off.

Tromsdalen Uil

  1. 7H. Kjæve
  2. 10Vegard Bergstedt Lysvoll
  3. 20Mohammed Ahamed
  1. 4Lars-Gunnar Johnsen
  2. 11H. Lysvoll
  3. 19Anders Karlsen
  4. 21M. Abelsen
  1. 2S. Pedersen
  2. 17L. Nilsen
  3. 24J. Fundingsrud
  1. 22Grzegorz Stanisław Flasza

Floro

  1. 9E. Kupen
  2. 17M. Benmoussa
  1. 8L. Jeggo
  2. 13Truls Hovland
  3. 14S. Aase
  4. 25P. Aase
  1. 3Martin Hollevik
  2. 6Runar Ullaland Hove
  3. 37Vegar Heggenes Gjermundstad
  4. 77C. Lindquist
  1. 92N. Frenderup
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What is the recent form of both teams?

Over their last 11 matches in all competitions, Tromsdalen Uil have 4 wins, 3 draws and 4 defeats; Floro have 2, 4 and 5.

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

Tromsdalen Uil
DateOpponentScoreCompetition
Jun 4, 2017Arendal(away)2-11. Division
May 28, 2017Ranheim(home)3-21. Division
May 21, 2017Ull/Kisa(away)0-11. Division
May 16, 2017Mjondalen(home)2-11. Division
May 13, 2017Strommen(away)1-11. Division
Floro
DateOpponentScoreCompetition
Jun 4, 2017Sandnes ULF(home)3-11. Division
May 28, 2017Kongsvinger(away)1-21. Division
May 21, 2017Bodo/Glimt(home)1-21. Division
May 16, 2017Asane(away)0-11. Division
May 13, 2017Start(home)1-41. Division

How many goals should we expect?

Tromsdalen Uil score 1.5 and concede 1.5 goals per match over their last 11; Floro score 1.1 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tromsdalen Uil1.51.518/116/11
Floro1.11.518/115/11

Over the last 11 matches in all competitions.

A question about Tromsdalen Uil vs Floro?

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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