HK Kopavogur vs Throttur Reykjavik: result 0-1 and analysis
1. DeildRegular Season - 6Kick-off on June 8, 2017 at 07:15 PM (UTC)Kórinn, Kópavogur
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What was the result of HK Kopavogur vs Throttur Reykjavik?
Throttur Reykjavik won 0-1 on June 8, 2017.
Goalscorers
- 40′S. JonassonThrottur Reykjavik (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, HK Kopavogur have 5 wins, 2 draws and 8 defeats; Throttur Reykjavik 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 |
|---|---|---|---|
| Jun 3, 2017 | Selfoss(away) | 0-1 | 1. Deild |
| May 28, 2017 | Fylkir(home) | 0-3 | 1. Deild |
| May 20, 2017 | Leiknir F.(away) | 3-1 | 1. Deild |
| May 12, 2017 | Leiknir R.(home) | 3-2 | 1. Deild |
| May 5, 2017 | Fram Reykjavik(home) | 1-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2017 | Keflavik(home) | 2-0 | 1. Deild |
| May 26, 2017 | Grotta(away) | 3-0 | 1. Deild |
| May 20, 2017 | Thor Akureyri(home) | 2-1 | 1. Deild |
| May 12, 2017 | IR Reykjavik(away) | 2-1 | 1. Deild |
| May 6, 2017 | Haukar(home) | 1-2 | 1. Deild |
How many goals should we expect?
HK Kopavogur score 1.6 and concede 2.1 goals per match over their last 15; Throttur Reykjavik score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HK Kopavogur | 1.6 | 2.1 | 2 | 10/15 | 12/15 |
| Throttur Reykjavik | 1.3 | 1.5 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
HK Kopavogur sit 4th in 1. Deild (35 points from 20 matches) and Throttur Reykjavik sit 2nd (37 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Throttur Reykjavik | 20 | 11 | 4 | 5 | 41 | 23 | 37 |
| 4 | HK Kopavogur | 20 | 11 | 2 | 7 | 47 | 35 | 35 |
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