Grotta vs Leiknir R.: result 1-3 and analysis
1. DeildRegular Season - 11Kick-off on July 11, 2017 at 07:15 PM (UTC)Vivaldivöllurinn, Seltjarnarnes
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What was the result of Grotta vs Leiknir R.?
Leiknir R. won 1-3 on July 11, 2017.
Goalscorers
- 17′Viktor Smári SegattaGrotta
- 38′K. KárasonLeiknir R. (pen.)
- 45′T. GardarssonLeiknir R.
- 81′K. KárasonLeiknir R.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grotta have 3 wins, 4 draws and 8 defeats; Leiknir R. have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2017 | HK Kopavogur(away) | 0-2 | 1. Deild |
| Jun 29, 2017 | Keflavik(home) | 0-1 | 1. Deild |
| Jun 22, 2017 | Fram Reykjavik(away) | 0-1 | 1. Deild |
| Jun 15, 2017 | Thor Akureyri(away) | 0-2 | 1. Deild |
| Jun 8, 2017 | IR Reykjavik(home) | 1-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2017 | Thor Akureyri(home) | 0-2 | 1. Deild |
| Jun 29, 2017 | IR Reykjavik(away) | 1-1 | 1. Deild |
| Jun 23, 2017 | Haukar(home) | 0-0 | 1. Deild |
| Jun 14, 2017 | Throttur Reykjavik(away) | 3-3 | 1. Deild |
| Jun 9, 2017 | Selfoss(home) | 2-0 | 1. Deild |
How many goals should we expect?
Grotta score 1.1 and concede 1.5 goals per match over their last 15; Leiknir R. score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grotta | 1.1 | 1.5 | 2 | 8/15 | 8/15 |
| Leiknir R. | 1.1 | 1.3 | 4 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Grotta sit 6th in 1. Deild (27 points from 19 matches) and Leiknir R. sit 8th (25 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Grotta | 19 | 8 | 3 | 8 | 35 | 36 | 27 |
| 8 | Leiknir R. | 20 | 7 | 4 | 9 | 30 | 30 | 25 |
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