Höttur vs Grotta: result 1-1 and analysis
2. DeildRegular Season - 5Kick-off on June 3, 2018 at 01:00 PM (UTC)
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What was the result of Höttur vs Grotta?
Höttur and Grotta drew 1-1 on June 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Höttur have 4 wins, 4 draws and 7 defeats; Grotta have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2018 | Fjardabyggd(home) | 1-1 | 2. Deild |
| May 12, 2018 | Vestri(away) | 0-5 | 2. Deild |
| May 5, 2018 | Vídir(home) | 0-0 | 2. Deild |
| Sep 23, 2017 | Vestri(away) | 4-3 | 2. Deild |
| Sep 16, 2017 | Fjardabyggd(home) | 1-1 | 2. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2018 | Leiknir F.(home) | 3-0 | 2. Deild |
| May 17, 2018 | Kári(away) | 0-1 | 2. Deild |
| May 11, 2018 | Thróttur Vogar(home) | 1-2 | 2. Deild |
| May 5, 2018 | Tindastóll(home) | 5-2 | 2. Deild |
| Sep 23, 2017 | Leiknir R.(away) | 1-2 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 1 Höttur win, 0 draws, 1 Grotta win.
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2016 | Höttur 2-1 Grotta | 2. Deild |
| Jul 16, 2016 | Grotta 2-1 Höttur | 2. Deild |
How many goals should we expect?
Höttur score 1.5 and concede 2.6 goals per match over their last 15; Grotta score 1.2 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Höttur | 1.5 | 2.6 | 3 | 10/15 | 9/15 |
| Grotta | 1.2 | 2.1 | 2 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Grotta | 22 | 13 | 5 | 4 | 47 | 25 | 44 |
A question about Höttur 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