Hillerød vs GVI: result 1-1 and analysis
Denmark Series - Group 1Regular Season - 15Kick-off on April 2, 2016 at 01:00 PM (UTC)Right to Dream Park, Farum
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What was the result of Hillerød vs GVI?
Hillerød and GVI drew 1-1 on April 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hillerød have 8 wins, 1 draw and 6 defeats; GVI have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2015 | Jægersborg(home) | 4-0 | Denmark Series - Group 1 |
| Nov 1, 2015 | Virum-Sorgenfri(away) | 0-2 | Denmark Series - Group 1 |
| Oct 24, 2015 | Vanløse(home) | 2-0 | Denmark Series - Group 1 |
| Oct 17, 2015 | Herlev(away) | 4-7 | Denmark Series - Group 1 |
| Oct 10, 2015 | Allerød(home) | 2-1 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2016 | Fredensborg BI(home) | 0-1 | Denmark Series - Group 1 |
| Oct 31, 2015 | Jægersborg(home) | 3-1 | Denmark Series - Group 1 |
| Oct 24, 2015 | Kastrup(away) | 1-2 | Denmark Series - Group 1 |
| Oct 17, 2015 | Virum-Sorgenfri(away) | 0-2 | Denmark Series - Group 1 |
| Oct 10, 2015 | Skjold Sæby(home) | 1-1 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 0 Hillerød wins, 0 draws, 1 GVI win.
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2015 | GVI 4-2 Hillerød | Denmark Series - Group 1 |
How many goals should we expect?
Hillerød score 2.0 and concede 1.7 goals per match over their last 15; GVI score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hillerød | 2.0 | 1.7 | 4 | 9/15 | 11/15 |
| GVI | 1.6 | 1.5 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Hillerød vs GVI?
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