Middelfart vs Næsby: result 4-1 and analysis
2nd Division - Group 2Regular Season - 4Kick-off on August 27, 2016 at 12:00 PM (UTC)Middelfart Stadion, Middelfart
Full time
What was the result of Middelfart vs Næsby?
Middelfart won 4-1 on August 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Middelfart have 5 wins, 4 draws and 6 defeats; Næsby have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2016 | Marienlyst(away) | 1-1 | 2nd Division - Group 2 |
| Aug 14, 2016 | Greve(away) | 3-1 | 2nd Division - Group 2 |
| Aug 11, 2016 | Esbjerg(home) | 0-1 | DBU Pokalen |
| Aug 6, 2016 | Dalum(home) | 0-0 | 2nd Division - Group 2 |
| Aug 4, 2015 | Vejle(home) | 2-5 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2016 | Greve(home) | 1-4 | 2nd Division - Group 2 |
| Aug 13, 2016 | Marienlyst(away) | 0-2 | 2nd Division - Group 2 |
| Aug 9, 2016 | OKS(away) | 1-2 | DBU Pokalen |
| Aug 6, 2016 | Sydvest(home) | 3-1 | 2nd Division - Group 2 |
| Nov 7, 2015 | Marienlyst(home) | 1-2 | 2nd Division - Group 2 |
How many goals should we expect?
Middelfart score 2.3 and concede 2.0 goals per match over their last 15; Næsby score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Middelfart | 2.3 | 2.0 | 2 | 12/15 | 12/15 |
| Næsby | 1.0 | 1.8 | 3 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Middelfart sit 2nd in 2nd Division - Group 2 (31 points from 17 matches) and Næsby sit 9th (18 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Middelfart | 17 | 9 | 4 | 4 | 28 | 19 | 31 |
| 9 | Næsby | 17 | 4 | 6 | 7 | 20 | 27 | 18 |
A question about Middelfart vs Næsby?
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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