Giza / Hoyvík vs AB: result 1-4 and analysis
1. DeildRegular Season - 24Kick-off on September 23, 2017 at 03:00 PM (UTC)Hoyvíksvøllur, Hoyvík
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What was the result of Giza / Hoyvík vs AB?
AB won 1-4 on September 23, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Giza / Hoyvík have 5 wins, 5 draws and 5 defeats; AB have 13, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2017 | ÍF II(home) | 4-1 | 1. Deild |
| Sep 15, 2017 | Suduroy(away) | 1-1 | 1. Deild |
| Sep 9, 2017 | NSÍ II(home) | 4-3 | 1. Deild |
| Aug 23, 2017 | B36 II(away) | 3-3 | 1. Deild |
| Aug 19, 2017 | HB II(home) | 0-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2017 | NSÍ II(away) | 6-1 | 1. Deild |
| Sep 9, 2017 | B36 II(home) | 4-0 | 1. Deild |
| Aug 23, 2017 | HB II(away) | 1-0 | 1. Deild |
| Aug 19, 2017 | Víkingur II(home) | 1-0 | 1. Deild |
| Aug 13, 2017 | B68(away) | 0-2 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 0 Giza / Hoyvík wins, 0 draws, 2 AB wins.
| Date | Score | Competition |
|---|---|---|
| Jul 22, 2017 | AB 4-0 Giza / Hoyvík | 1. Deild |
| Apr 29, 2017 | Giza / Hoyvík 1-4 AB | 1. Deild |
How many goals should we expect?
Giza / Hoyvík score 2.1 and concede 1.9 goals per match over their last 15; AB score 3.1 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Giza / Hoyvík | 2.1 | 1.9 | 2 | 9/15 | 9/15 |
| AB | 3.1 | 0.3 | 11 | 3/15 | 8/15 |
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 | AB | 27 | 22 | 3 | 2 | 64 | 16 | 69 |
A question about Giza / Hoyvík vs AB?
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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