Middelfart vs Brønshøj: result 3-1 and analysis
2nd Division - Group 2Regular Season - 6Kick-off on September 1, 2018 at 12:00 PM (UTC)Middelfart Stadion, Middelfart
Full time
What was the result of Middelfart vs Brønshøj?
Middelfart won 3-1 on September 1, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Middelfart have 7 wins, 2 draws and 6 defeats; Brønshøj have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2018 | Frem(home) | 0-1 | 2nd Division - Group 2 |
| Aug 22, 2018 | Marienlyst(away) | 2-1 | 2nd Division - Group 2 |
| Aug 19, 2018 | Avarta(away) | 1-0 | 2nd Division - Group 2 |
| Aug 11, 2018 | HIK(home) | 1-2 | 2nd Division - Group 2 |
| Aug 7, 2018 | Fjordager(away) | 5-1 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2018 | HIK(home) | 2-1 | 2nd Division - Group 2 |
| Aug 22, 2018 | Frem(away) | 0-2 | 2nd Division - Group 2 |
| Aug 18, 2018 | Hillerød(away) | 1-0 | 2nd Division - Group 2 |
| Aug 11, 2018 | Avarta(home) | 4-3 | 2nd Division - Group 2 |
| Aug 7, 2018 | Herlev(away) | 1-5 | DBU Pokalen |
How many goals should we expect?
Middelfart score 1.7 and concede 1.3 goals per match over their last 15; Brønshøj score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Middelfart | 1.7 | 1.3 | 5 | 7/15 | 8/15 |
| Brønshøj | 1.3 | 2.3 | 2 | 7/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Brønshøj | 26 | 6 | 5 | 15 | 34 | 50 | 23 |
A question about Middelfart vs Brønshøj?
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