KV vs Grotta: result 1-2 and analysis
2. DeildRegular Season - 13Kick-off on July 28, 2016 at 07:15 PM (UTC)KR-völlur, Reykjavík
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What was the result of KV vs Grotta?
Grotta won 1-2 on July 28, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, KV have 5 wins, 1 draw and 6 defeats; Grotta have 6, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2016 | Afturelding(away) | 1-4 | 2. Deild |
| Jul 16, 2016 | Sindri(away) | 2-6 | 2. Deild |
| Jul 9, 2016 | Magni(home) | 1-2 | 2. Deild |
| Jul 5, 2016 | Völsungur(away) | 0-0 | 2. Deild |
| Jul 1, 2016 | Ægir(home) | 4-1 | 2. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2016 | IR Reykjavik(home) | 0-2 | 2. Deild |
| Jul 16, 2016 | Höttur(home) | 2-1 | 2. Deild |
| Jul 12, 2016 | KF(away) | 0-0 | 2. Deild |
| Jul 9, 2016 | Vestri(away) | 0-0 | 2. Deild |
| Jul 5, 2016 | Njardvik(home) | 2-1 | 2. Deild |
What does the head-to-head say?
In the last meeting: 1 KV win, 0 draws, 0 Grotta wins.
| Date | Score | Competition |
|---|---|---|
| May 14, 2016 | Grotta 0-3 KV | 2. Deild |
How many goals should we expect?
KV score 1.6 and concede 1.8 goals per match over their last 12; Grotta score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KV | 1.6 | 1.8 | 4 | 6/12 | 9/12 |
| Grotta | 1.2 | 0.7 | 7 | 3/12 | 4/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Grotta | 22 | 13 | 5 | 4 | 47 | 25 | 44 |
A question about KV vs Grotta?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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