Fylkir vs KR Reykjavik: result 1-4 and analysis
ÚrvalsdeildRegular Season - 11Kick-off on July 17, 2016 at 07:15 PM (UTC)Würth völlurinn, Reykjavík
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What was the result of Fylkir vs KR Reykjavik?
KR Reykjavik won 1-4 on July 17, 2016.
Goalscorers
- 2′M. BeckKR Reykjavik
- 10′A. JósepssonKR Reykjavik
- 15′T. RadovnikovićFylkir
- 42′Ó. HaukssonKR Reykjavik
- 53′Ó. HaukssonKR Reykjavik
What is the recent form of both teams?
Over their last 10 matches in all competitions, Fylkir have 2 wins, 2 draws and 6 defeats; KR Reykjavik have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2016 | Throttur Reykjavik(away) | 4-1 | Úrvalsdeild |
| Jun 28, 2016 | Vikingur Reykjavik(home) | 1-0 | Úrvalsdeild |
| Jun 24, 2016 | FH hafnarfjordur(away) | 0-1 | Úrvalsdeild |
| Jun 5, 2016 | Vikingur Olafsiik(away) | 0-1 | Úrvalsdeild |
| May 30, 2016 | Fjolnir(home) | 2-2 | Úrvalsdeild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 14, 2016 | Grasshoppers(home) | 3-3 | UEFA Europa League |
| Jul 10, 2016 | Vikingur Olafsiik(home) | 0-0 | Úrvalsdeild |
| Jul 7, 2016 | Glenavon FC(away) | 6-0 | UEFA Europa League |
| Jun 30, 2016 | Glenavon FC(home) | 2-1 | UEFA Europa League |
| Jun 23, 2016 | IA Akranes(home) | 1-2 | Úrvalsdeild |
How many goals should we expect?
Fylkir score 0.9 and concede 1.5 goals per match over their last 10; KR Reykjavik score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fylkir | 0.9 | 1.5 | 1 | 4/10 | 4/10 |
| KR Reykjavik | 1.3 | 1.3 | 4 | 7/15 | 8/15 |
Over the last 10 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 Fylkir vs KR Reykjavik?
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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