Grotta vs Fylkir: result 1-2 and analysis
1. DeildRegular Season - 2Kick-off on May 12, 2017 at 07:15 PM (UTC)Vivaldivöllurinn, Seltjarnarnes
Full time
What was the result of Grotta vs Fylkir?
Fylkir won 1-2 on May 12, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grotta have 7 wins, 6 draws and 2 defeats; Fylkir have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Leiknir F.(away) | 2-2 | 1. Deild |
| Sep 24, 2016 | Höttur(away) | 1-2 | 2. Deild |
| Sep 17, 2016 | Vestri(home) | 4-0 | 2. Deild |
| Sep 11, 2016 | Njardvik(away) | 2-1 | 2. Deild |
| Sep 3, 2016 | KF(home) | 1-1 | 2. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Thor Akureyri(home) | 3-1 | 1. Deild |
| Oct 1, 2016 | KR Reykjavik(away) | 0-3 | Úrvalsdeild |
| Sep 25, 2016 | Throttur Reykjavik(home) | 2-2 | Úrvalsdeild |
| Sep 18, 2016 | Vikingur Reykjavik(away) | 2-3 | Úrvalsdeild |
| Sep 15, 2016 | FH hafnarfjordur(home) | 2-3 | Úrvalsdeild |
How many goals should we expect?
Grotta score 1.6 and concede 0.9 goals per match over their last 15; Fylkir score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grotta | 1.6 | 0.9 | 6 | 8/15 | 10/15 |
| Fylkir | 1.6 | 1.9 | 1 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Grotta sit 8th in 1. Deild (27 points from 22 matches) and Fylkir sit 3rd (40 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Fylkir | 22 | 13 | 1 | 8 | 49 | 36 | 40 |
| 8 | Grotta | 22 | 8 | 3 | 11 | 36 | 43 | 27 |
A question about Grotta vs Fylkir?
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