Middelfart vs HIK: result 3-0 and analysis
2nd Division - Group 2Regular Season - 2Kick-off on August 12, 2017 at 12:00 PM (UTC)Middelfart Stadion, Middelfart
Full time
What was the result of Middelfart vs HIK?
Middelfart won 3-0 on August 12, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Middelfart have 8 wins, 3 draws and 4 defeats; HIK have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2017 | Egen(away) | 4-2 | DBU Pokalen |
| Aug 5, 2017 | Marienlyst(away) | 1-3 | 2nd Division - Group 2 |
| Nov 5, 2016 | Dalum(away) | 1-1 | 2nd Division - Group 2 |
| Oct 29, 2016 | Sydvest(home) | 3-3 | 2nd Division - Group 2 |
| Oct 21, 2016 | Kolding IF(away) | 1-3 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2017 | Helsinge(away) | 2-0 | DBU Pokalen |
| Aug 5, 2017 | Avarta(home) | 1-1 | 2nd Division - Group 2 |
| Nov 5, 2016 | Frem(away) | 0-2 | 2. Division |
| Oct 29, 2016 | Hvidovre(home) | 0-1 | 2. Division |
| Oct 22, 2016 | Fredensborg BI(away) | 4-0 | 2. Division |
How many goals should we expect?
Middelfart score 2.1 and concede 1.7 goals per match over their last 15; HIK score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Middelfart | 2.1 | 1.7 | 1 | 13/15 | 11/15 |
| HIK | 1.5 | 1.7 | 3 | 8/15 | 10/15 |
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 Middelfart vs HIK?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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