Fjolnir vs IBV Vestmannaeyjar: result 2-0 and analysis
ÚrvalsdeildRegular Season - 2Kick-off on May 7, 2016 at 04:00 PM (UTC)Extra völlurinn, Reykjavík
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What was the result of Fjolnir vs IBV Vestmannaeyjar?
Fjolnir won 2-0 on May 7, 2016.
Goalscorers
- 72′M. LundFjolnir
- 83′M. LundFjolnir
Official lineup for Fjolnir vs IBV Vestmannaeyjar
The starting elevens fielded at kick-off.
Fjolnir
- 10M. Lund
- 22Ólafur Páll Snorrason
- 4Gunnar Már Guðmundsson
- 7V. Jónsson
- 8I. Jugović
- 29G. Guðmundsson
- 2M. Tadejević
- 3Daniel Ivanovski
- 5T. Salquist
- 9Þ. Guðjónsson
- 12Þ. Ingason
IBV Vestmannaeyjar
- 7A. Bjarnason
- 11S. Magnússon
- 14J. Barden
- 20M. Siers
- 33C. Vernam
- 4Hafsteinn Briem
- 5Avni Pepa
- 8J. Ingason
- 19S. Smidt
- 32Andri Ólafsson
- 22Derby Rafael Carrillo Berduo
What is the recent form of both teams?
In their last match in all competitions, Fjolnir have 1 win, 0 draws and 0 defeats; IBV Vestmannaeyjar have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2016 | Valur Reykjavik(away) | 2-1 | Úrvalsdeild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2016 | IA Akranes(home) | 4-0 | Úrvalsdeild |
How many goals should we expect?
Fjolnir score 2.0 and concede 1.0 goals per match in their last match; IBV Vestmannaeyjar score 4.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fjolnir | 2.0 | 1.0 | 0 | 1/1 | 1/1 |
| IBV Vestmannaeyjar | 4.0 | 0.0 | 1 | 0/1 | 1/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | IBV Vestmannaeyjar | 22 | 4 | 6 | 12 | 32 | 45 | 18 |
A question about Fjolnir vs IBV Vestmannaeyjar?
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