Fjolnir vs Thor Akureyri: result 4-0 and analysis
1. DeildRegular Season - 9Kick-off on June 29, 2019 at 02:00 PM (UTC)Extra völlurinn, Reykjavík
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What was the result of Fjolnir vs Thor Akureyri?
Fjolnir won 4-0 on June 29, 2019.
Goalscorers
- 46′H. RúnarssonFjolnir (o.g.)
- 66′J. GunnarssonFjolnir
- 85′I. SigurðssonFjolnir
- 88′J. StrömFjolnir
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fjolnir have 8 wins, 3 draws and 4 defeats; Thor Akureyri have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2019 | Throttur Reykjavik(away) | 1-0 | 1. Deild |
| Jun 13, 2019 | Vikingur Olafsiik(home) | 1-3 | 1. Deild |
| Jun 7, 2019 | Grotta(away) | 0-0 | 1. Deild |
| Jun 1, 2019 | Njardvik(home) | 1-0 | 1. Deild |
| May 29, 2019 | IBV Vestmannaeyjar(away) | 0-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2019 | Keflavik(home) | 0-0 | 1. Deild |
| Jun 15, 2019 | Leiknir R.(away) | 3-0 | 1. Deild |
| Jun 7, 2019 | Haukar(away) | 3-0 | 1. Deild |
| Jun 2, 2019 | Throttur Reykjavik(home) | 2-0 | 1. Deild |
| May 24, 2019 | Vikingur Olafsiik(away) | 0-2 | 1. Deild |
How many goals should we expect?
Fjolnir score 2.0 and concede 1.5 goals per match over their last 15; Thor Akureyri score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fjolnir | 2.0 | 1.5 | 3 | 11/15 | 10/15 |
| Thor Akureyri | 2.1 | 1.3 | 6 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Fjolnir sit 12th in 1. Deild (15 points from 22 matches) and Thor Akureyri sit 1st (45 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Thor Akureyri | 22 | 14 | 3 | 5 | 51 | 31 | 45 |
| 12 | Fjolnir | 22 | 3 | 6 | 13 | 32 | 53 | 15 |
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