Kolding IF vs Dalum: result 0-1 and analysis
2nd Division - Group 2Regular Season - 8Kick-off on September 23, 2016 at 05:00 PM (UTC)Autocentralen Park, Kolding
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What was the result of Kolding IF vs Dalum?
Dalum won 0-1 on September 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolding IF have 8 wins, 1 draw and 6 defeats; Dalum have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Næsby(away) | 3-1 | 2nd Division - Group 2 |
| Sep 10, 2016 | Greve(home) | 1-1 | 2nd Division - Group 2 |
| Sep 3, 2016 | Middelfart(away) | 5-2 | 2nd Division - Group 2 |
| Aug 30, 2016 | VSK Århus(away) | 3-4 | DBU Pokalen |
| Aug 26, 2016 | Svendborg(home) | 3-1 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Greve(home) | 0-1 | 2nd Division - Group 2 |
| Sep 10, 2016 | Marienlyst(away) | 1-1 | 2nd Division - Group 2 |
| Sep 3, 2016 | Næsby(home) | 0-1 | 2nd Division - Group 2 |
| Aug 30, 2016 | Holbæk B&I(home) | 0-1 | DBU Pokalen |
| Aug 27, 2016 | Sydvest(home) | 2-2 | 2nd Division - Group 2 |
What does the head-to-head say?
In the last meeting: 1 Kolding IF win, 0 draws, 0 Dalum wins.
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2016 | Dalum 1-5 Kolding IF | 2nd Division - Group 2 |
How many goals should we expect?
Kolding IF score 3.0 and concede 2.1 goals per match over their last 15; Dalum score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolding IF | 3.0 | 2.1 | 1 | 13/15 | 14/15 |
| Dalum | 1.5 | 1.9 | 1 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Dalum | 17 | 6 | 4 | 7 | 29 | 27 | 22 |
A question about Kolding IF vs Dalum?
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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