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
Full time
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 draw 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | KR Reykjavik | 22 | 13 | 5 | 4 | 74 | 49 | 44 |
A question about Fjolnir vs KR Reykjavik?
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