Marienlyst vs HIK: result 5-0 and analysis
2nd Division - Group 2Regular Season - 10Kick-off on October 7, 2017 at 12:00 PM (UTC)Marienlystcentret, Odense
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What was the result of Marienlyst vs HIK?
Marienlyst won 5-0 on October 7, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marienlyst have 7 wins, 3 draws and 5 defeats; HIK have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Middelfart(away) | 3-2 | 2nd Division - Group 2 |
| Sep 23, 2017 | Næsby(home) | 1-1 | 2nd Division - Group 2 |
| Sep 17, 2017 | Avarta(away) | 2-1 | 2nd Division - Group 2 |
| Sep 8, 2017 | Dalum(home) | 0-2 | 2nd Division - Group 2 |
| Sep 2, 2017 | HIK(away) | 0-1 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Kolding IF(home) | 4-1 | 2nd Division - Group 2 |
| Sep 24, 2017 | Avarta(away) | 2-0 | 2nd Division - Group 2 |
| Sep 16, 2017 | Dalum(home) | 2-0 | 2nd Division - Group 2 |
| Sep 9, 2017 | Greve(away) | 2-4 | 2nd Division - Group 2 |
| Sep 5, 2017 | Fredensborg BI(away) | 2-1 | DBU Pokalen |
What does the head-to-head say?
In the last meeting: 0 Marienlyst wins, 0 draws, 1 HIK win.
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2017 | HIK 1-0 Marienlyst | 2nd Division - Group 2 |
How many goals should we expect?
Marienlyst score 1.7 and concede 1.4 goals per match over their last 15; HIK score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marienlyst | 1.7 | 1.4 | 4 | 8/15 | 7/15 |
| HIK | 1.7 | 1.4 | 5 | 6/15 | 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 | HIK | 26 | 16 | 5 | 5 | 39 | 25 | 53 |
A question about Marienlyst vs HIK?
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