Middelfart vs Svendborg: result 3-1 and analysis
2nd Division - Group 2Regular Season - 7Kick-off on September 17, 2016 at 12:00 PM (UTC)Middelfart Stadion, Middelfart
Full time
What was the result of Middelfart vs Svendborg?
Middelfart won 3-1 on September 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Middelfart have 6 wins, 3 draws and 6 defeats; Svendborg have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Sydvest(away) | 2-1 | 2nd Division - Group 2 |
| Sep 3, 2016 | Kolding IF(home) | 2-5 | 2nd Division - Group 2 |
| Aug 27, 2016 | Næsby(home) | 4-1 | 2nd Division - Group 2 |
| Aug 20, 2016 | Marienlyst(away) | 1-1 | 2nd Division - Group 2 |
| Aug 14, 2016 | Greve(away) | 3-1 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2016 | Næsby(away) | 2-3 | 2nd Division - Group 2 |
| Sep 3, 2016 | Marienlyst(home) | 0-2 | 2nd Division - Group 2 |
| Aug 26, 2016 | Kolding IF(away) | 1-3 | 2nd Division - Group 2 |
| Aug 19, 2016 | Dalum(home) | 1-3 | 2nd Division - Group 2 |
| Aug 13, 2016 | Sydvest(away) | 2-2 | 2nd Division - Group 2 |
How many goals should we expect?
Middelfart score 2.5 and concede 2.1 goals per match over their last 15; Svendborg score 0.9 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Middelfart | 2.5 | 2.1 | 2 | 12/15 | 12/15 |
| Svendborg | 0.9 | 2.4 | 1 | 9/15 | 11/15 |
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 | Middelfart | 17 | 9 | 4 | 4 | 28 | 19 | 31 |
A question about Middelfart vs Svendborg?
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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