Hillerød vs HIK: result 3-1 and analysis
2. DivisionGroup 1 - 9Kick-off on September 21, 2019 at 12:00 PM (UTC)Right to Dream Park, Farum
Full time
What was the result of Hillerød vs HIK?
Hillerød won 3-1 on September 21, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hillerød have 7 wins, 1 draw and 7 defeats; HIK have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | FA 2000(away) | 1-3 | 2. Division |
| Sep 6, 2019 | Vanløse(home) | 0-4 | 2. Division |
| Sep 3, 2019 | Naestved(home) | 1-0 | DBU Pokalen |
| Aug 31, 2019 | Slagelse B&I(home) | 3-1 | 2. Division |
| Aug 24, 2019 | Brønshøj(away) | 0-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2019 | Slagelse B&I(home) | 0-0 | 2. Division |
| Sep 7, 2019 | FA 2000(away) | 3-1 | 2. Division |
| Sep 3, 2019 | Herstedøster(away) | 7-4 | DBU Pokalen |
| Aug 30, 2019 | FC Helsingor(home) | 1-3 | 2. Division |
| Aug 24, 2019 | Frem(away) | 4-1 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Hillerød wins, 1 draw, 1 HIK win.
| Date | Score | Competition |
|---|---|---|
| Mar 16, 2019 | Hillerød 1-4 HIK | 2nd Division - Group 2 |
| Sep 15, 2018 | HIK 1-1 Hillerød | 2nd Division - Group 2 |
How many goals should we expect?
Hillerød score 1.7 and concede 1.7 goals per match over their last 15; HIK score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hillerød | 1.7 | 1.7 | 4 | 8/15 | 10/15 |
| HIK | 2.3 | 1.3 | 3 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | HIK | 11 | 2 | 3 | 6 | 9 | 19 | 9 |
A question about Hillerød vs HIK?
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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