Giza / Hoyvík vs B71: result 0-1 and analysis
1. DeildRegular Season - 1Kick-off on March 10, 2018 at 03:00 PM (UTC)Hoyvíksvøllur, Hoyvík
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What was the result of Giza / Hoyvík vs B71?
B71 won 0-1 on March 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Giza / Hoyvík have 7 wins, 4 draws and 4 defeats; B71 have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | Víkingur II(away) | 1-1 | 1. Deild |
| Oct 14, 2017 | KÍ II(home) | 3-1 | 1. Deild |
| Sep 30, 2017 | B68(away) | 1-0 | 1. Deild |
| Sep 23, 2017 | AB(home) | 1-4 | 1. Deild |
| Sep 19, 2017 | ÍF II(home) | 4-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2016 | 07 Vestur(home) | 1-12 | 1. Deild |
| Sep 24, 2016 | NSÍ II(away) | 1-4 | 1. Deild |
| Sep 17, 2016 | HB II(away) | 0-2 | 1. Deild |
| Sep 10, 2016 | Víkingur II(home) | 7-2 | 1. Deild |
| Sep 3, 2016 | Suduroy(home) | 1-4 | 1. Deild |
What does the head-to-head say?
Across the last 3 meetings: 3 Giza / Hoyvík wins, 0 draws, 0 B71 wins.
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2016 | Giza / Hoyvík 4-2 B71 | 1. Deild |
| Jun 18, 2016 | B71 1-4 Giza / Hoyvík | 1. Deild |
| Apr 30, 2016 | Giza / Hoyvík 4-1 B71 | 1. Deild |
How many goals should we expect?
Giza / Hoyvík score 2.1 and concede 1.8 goals per match over their last 15; B71 score 1.4 and concede 3.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Giza / Hoyvík | 2.1 | 1.8 | 3 | 9/15 | 10/15 |
| B71 | 1.4 | 3.9 | 0 | 11/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | B71 | 25 | 19 | 3 | 3 | 78 | 27 | 60 |
A question about Giza / Hoyvík vs B71?
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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