Næsby vs Kolding IF: result 1-3 and analysis
2nd Division - Group 2Regular Season - 7Kick-off on September 17, 2016 at 01:00 PM (UTC)ALPI Arena Næsby, Odense
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What was the result of Næsby vs Kolding IF?
Kolding IF won 1-3 on September 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Næsby have 4 wins, 1 draw and 10 defeats; Kolding IF have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2016 | Svendborg(home) | 3-2 | 2nd Division - Group 2 |
| Sep 3, 2016 | Dalum(away) | 1-0 | 2nd Division - Group 2 |
| Aug 27, 2016 | Middelfart(away) | 1-4 | 2nd Division - Group 2 |
| Aug 20, 2016 | Greve(home) | 1-4 | 2nd Division - Group 2 |
| Aug 13, 2016 | Marienlyst(away) | 0-2 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 20, 2016 | Sydvest(away) | 2-4 | 2nd Division - Group 2 |
How many goals should we expect?
Næsby score 1.1 and concede 2.0 goals per match over their last 15; Kolding IF score 3.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Næsby | 1.1 | 2.0 | 2 | 8/15 | 10/15 |
| Kolding IF | 3.3 | 2.1 | 1 | 13/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Næsby | 17 | 4 | 6 | 7 | 20 | 27 | 18 |
A question about Næsby vs Kolding IF?
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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