Njardvik vs Völsungur: result 3-2 and analysis
2. DeildRegular Season - 11Kick-off on July 8, 2017 at 02:00 PM (UTC)Rafholtsvöllurinn, Njarðvík, Reykjanesbær
Full time
What was the result of Njardvik vs Völsungur?
Njardvik won 3-2 on July 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Njardvik have 7 wins, 4 draws and 4 defeats; Völsungur have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2017 | KV(away) | 6-4 | 2. Deild |
| Jun 29, 2017 | Vídir(home) | 1-3 | 2. Deild |
| Jun 24, 2017 | Vestri(away) | 4-2 | 2. Deild |
| Jun 18, 2017 | Höttur(home) | 0-3 | 2. Deild |
| Jun 10, 2017 | Magni(away) | 1-0 | 2. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2017 | Tindastóll(home) | 2-1 | 2. Deild |
| Jul 1, 2017 | Sindri(away) | 4-2 | 2. Deild |
| Jun 23, 2017 | Huginn(home) | 0-2 | 2. Deild |
| Jun 18, 2017 | Fjardabyggd(home) | 5-0 | 2. Deild |
| Jun 10, 2017 | KV(away) | 3-2 | 2. Deild |
What does the head-to-head say?
Across the last 2 meetings: 0 Njardvik wins, 2 draws, 0 Völsungur wins.
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2016 | Njardvik 2-2 Völsungur | 2. Deild |
| Jun 4, 2016 | Völsungur 1-1 Njardvik | 2. Deild |
Last archived meeting: Njardvik vs Völsungur on Aug 14, 2016
How many goals should we expect?
Njardvik score 2.1 and concede 1.6 goals per match over their last 15; Völsungur score 2.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Njardvik | 2.1 | 1.6 | 3 | 10/15 | 9/15 |
| Völsungur | 2.4 | 1.9 | 1 | 13/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Njardvik vs Völsungur?
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