Fjolnir vs Breidablik: result 0-3 and analysis
ÚrvalsdeildRegular Season - 11Kick-off on July 17, 2016 at 08:00 PM (UTC)Extra völlurinn, Reykjavík
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What was the result of Fjolnir vs Breidablik?
Breidablik won 0-3 on July 17, 2016.
Goalscorers
- 18′Daniel José BambergBreidablik
- 23′G. EyjólfssonBreidablik
- 74′A. YeomanBreidablik
What is the recent form of both teams?
Over their last 10 matches in all competitions, Fjolnir have 6 wins, 1 draw and 3 defeats; Breidablik have 6, 2 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 | Stjarnan(away) | 1-2 | Úrvalsdeild |
| Jun 24, 2016 | Throttur Reykjavik(away) | 5-0 | Úrvalsdeild |
| Jun 15, 2016 | KR Reykjavik(home) | 3-1 | Úrvalsdeild |
| Jun 5, 2016 | Vikingur Reykjavik(home) | 2-1 | Úrvalsdeild |
| May 30, 2016 | Fylkir(away) | 2-2 | Úrvalsdeild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2016 | IA Akranes(home) | 0-1 | Úrvalsdeild |
| Jul 7, 2016 | Jelgava(away) | 2-2 | UEFA Europa League |
| Jun 30, 2016 | Jelgava(home) | 2-3 | UEFA Europa League |
| Jun 24, 2016 | Valur Reykjavik(home) | 0-0 | Úrvalsdeild |
| Jun 15, 2016 | IBV Vestmannaeyjar(away) | 2-0 | Úrvalsdeild |
How many goals should we expect?
Fjolnir score 2.2 and concede 1.1 goals per match over their last 10; Breidablik score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fjolnir | 2.2 | 1.1 | 2 | 6/10 | 7/10 |
| Breidablik | 1.1 | 1.3 | 5 | 5/14 | 6/14 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Breidablik | 22 | 8 | 6 | 8 | 43 | 41 | 30 |
A question about Fjolnir vs Breidablik?
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