Fjolnir vs KR Reykjavik: result 3-1 and analysis
ÚrvalsdeildRegular Season - 9Kick-off on June 15, 2016 at 07:15 PM (UTC)Extra völlurinn, Reykjavík
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What was the result of Fjolnir vs KR Reykjavik?
Fjolnir won 3-1 on June 15, 2016.
Goalscorers
- 27′Michael Præst MøllerKR Reykjavik
- 44′M. LundFjolnir
- 52′Gudmundur Bödvar GudjónssonFjolnir
- 72′Marcus Solberg MathiasenFjolnir
What is the recent form of both teams?
Over their last 7 matches in all competitions, Fjolnir have 4 wins, 1 draws and 2 defeats; KR Reykjavik have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2016 | Vikingur Reykjavik(home) | 2-1 | Úrvalsdeild |
| May 30, 2016 | Fylkir(away) | 2-2 | Úrvalsdeild |
| May 22, 2016 | Vikingur Olafsiik(home) | 5-1 | Úrvalsdeild |
| May 16, 2016 | FH hafnarfjordur(away) | 0-2 | Úrvalsdeild |
| May 12, 2016 | IA Akranes(away) | 0-1 | Úrvalsdeild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | IBV Vestmannaeyjar(away) | 0-1 | Úrvalsdeild |
| May 29, 2016 | Valur Reykjavik(home) | 2-1 | Úrvalsdeild |
| May 22, 2016 | Breidablik(away) | 0-1 | Úrvalsdeild |
| May 17, 2016 | Stjarnan(home) | 1-1 | Úrvalsdeild |
| May 12, 2016 | FH hafnarfjordur(home) | 1-0 | Úrvalsdeild |
How many goals should we expect?
Fjolnir score 1.9 and concede 1.1 goals per match over their last 7; KR Reykjavik score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fjolnir | 1.9 | 1.1 | 1 | 4/7 | 4/7 |
| KR Reykjavik | 0.7 | 1.7 | 2 | 6/15 | 7/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | KR Reykjavik | 10 | 8 | 1 | 1 | 38 | 23 | 25 |
| 2 | KR Reykjavik | 18 | 12 | 3 | 3 | 64 | 39 | 39 |
| 2 | KR Reykjavik | 20 | 13 | 4 | 3 | 72 | 45 | 43 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy