KV vs Grotta: result 2-1 and analysis
1. DeildRegular Season - 15Kick-off on August 5, 2022 at 07:15 PM (UTC)KR-völlur, Reykjavík
Full time
What was the result of KV vs Grotta?
KV won 2-1 on August 5, 2022.
Goalscorers
- 75′V. SævarssonKV
- 78′K. HalldórssonGrotta
- 80′A. JóhannssonKV
What is the recent form of both teams?
Over their last 15 matches in all competitions, KV have 2 wins, 2 draws and 11 defeats; Grotta have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2022 | Kórdrengir(home) | 2-2 | 1. Deild |
| Jul 21, 2022 | Fylkir(home) | 2-3 | 1. Deild |
| Jul 14, 2022 | HK Kopavogur(away) | 0-4 | 1. Deild |
| Jul 9, 2022 | Selfoss(home) | 1-2 | 1. Deild |
| Jul 5, 2022 | Thor Akureyri(away) | 1-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2022 | HK Kopavogur(away) | 1-2 | 1. Deild |
| Jul 23, 2022 | Vestri(away) | 1-3 | 1. Deild |
| Jul 14, 2022 | Selfoss(home) | 3-0 | 1. Deild |
| Jul 9, 2022 | Grindavik(away) | 1-3 | 1. Deild |
| Jul 5, 2022 | Fjolnir(home) | 4-1 | 1. Deild |
What does the head-to-head say?
Across the last 3 meetings: 1 KV win(s), 0 draw(s), 2 Grotta win(s).
| Date | Score | Competition |
|---|---|---|
| May 28, 2022 | Grotta 5-1 KV | 1. Deild |
| Jul 28, 2016 | KV 1-2 Grotta | 2. Deild |
| May 14, 2016 | Grotta 0-3 KV | 2. Deild |
How many goals should we expect?
KV score 1.3 and concede 2.6 goals per match over their last 15; Grotta score 2.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KV | 1.3 | 2.6 | 0 | 13/15 | 13/15 |
| Grotta | 2.0 | 1.5 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Grotta | 19 | 8 | 3 | 8 | 35 | 36 | 27 |
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