Leiknir R. vs Njardvik: result 2-3 and analysis
1. DeildRegular Season - 2Kick-off on May 11, 2018 at 07:15 PM (UTC)Leiknisvöllur, Reykjavík
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What was the result of Leiknir R. vs Njardvik?
Njardvik won 2-3 on May 11, 2018.
Goalscorers
- 36′Sólon Breki LeifssonLeiknir R.
- 40′A. MagnússonNjardvik
- 53′Luka JagačićNjardvik
- 90′H. JónssonNjardvik
- 90′S. MagnússonLeiknir R.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Leiknir R. have 8 wins, 2 draws and 5 defeats; Njardvik have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | IA Akranes(away) | 0-1 | 1. Deild |
| Sep 23, 2017 | Grotta(home) | 2-1 | 1. Deild |
| Sep 16, 2017 | Thor Akureyri(away) | 3-3 | 1. Deild |
| Sep 7, 2017 | IR Reykjavik(home) | 4-0 | 1. Deild |
| Aug 31, 2017 | Haukar(away) | 3-5 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Throttur Reykjavik(home) | 1-1 | 1. Deild |
| Sep 23, 2017 | Völsungur(away) | 3-1 | 2. Deild |
| Sep 16, 2017 | KV(home) | 3-1 | 2. Deild |
| Sep 9, 2017 | Vídir(away) | 3-2 | 2. Deild |
| Sep 2, 2017 | Vestri(home) | 3-1 | 2. Deild |
How many goals should we expect?
Leiknir R. score 1.7 and concede 1.4 goals per match over their last 15; Njardvik score 2.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Leiknir R. | 1.7 | 1.4 | 4 | 8/15 | 9/15 |
| Njardvik | 2.2 | 1.3 | 3 | 12/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Leiknir R. sit 8th in 1. Deild (25 points from 20 matches) and Njardvik sit 5th (35 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Njardvik | 20 | 11 | 2 | 7 | 36 | 26 | 35 |
| 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