Giza / Hoyvík vs HB II: result 2-3 and analysis
1. DeildRegular Season - 13Kick-off on June 11, 2016 at 03:00 PM (UTC)Hoyvíksvøllur, Hoyvík
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What was the result of Giza / Hoyvík vs HB II?
HB II won 2-3 on June 11, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Giza / Hoyvík have 7 wins, 0 draws and 5 defeats; HB II have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2016 | KÍ II(away) | 2-1 | 1. Deild |
| May 28, 2016 | Víkingur II(away) | 4-0 | 1. Deild |
| May 21, 2016 | NSÍ II(home) | 1-2 | 1. Deild |
| May 14, 2016 | EB / Streymur(away) | 0-3 | 1. Deild |
| Apr 30, 2016 | B71(home) | 4-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | NSÍ II(home) | 6-2 | 1. Deild |
| May 28, 2016 | EB / Streymur(home) | 1-3 | 1. Deild |
| May 21, 2016 | Suduroy(away) | 0-1 | 1. Deild |
| May 14, 2016 | KÍ II(home) | 0-2 | 1. Deild |
| May 7, 2016 | 07 Vestur(away) | 3-8 | 1. Deild |
What does the head-to-head say?
In the last meeting: 1 Giza / Hoyvík win, 0 draws, 0 HB II wins.
| Date | Score | Competition |
|---|---|---|
| Mar 19, 2016 | HB II 0-5 Giza / Hoyvík | 1. Deild |
Last archived meeting: HB II vs Giza / Hoyvík on Mar 19, 2016
How many goals should we expect?
Giza / Hoyvík score 2.1 and concede 1.6 goals per match over their last 12; HB II score 2.1 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Giza / Hoyvík | 2.1 | 1.6 | 4 | 5/12 | 10/12 |
| HB II | 2.1 | 2.9 | 0 | 11/15 | 12/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | HB II | 27 | 6 | 7 | 14 | 35 | 51 | 25 |
A question about Giza / Hoyvík vs HB II?
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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