Kolding IF vs Avarta: result 3-3 and analysis
2nd Division - Group 2Regular Season - 6Kick-off on September 9, 2017 at 01:00 PM (UTC)Autocentralen Park, Kolding
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What was the result of Kolding IF vs Avarta?
Kolding IF and Avarta drew 3-3 on September 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolding IF have 10 wins, 0 draws and 5 defeats; Avarta have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2017 | Middelfart(away) | 0-2 | 2nd Division - Group 2 |
| Aug 29, 2017 | Hobro(home) | 0-1 | DBU Pokalen |
| Aug 26, 2017 | HIK(home) | 2-1 | 2nd Division - Group 2 |
| Aug 18, 2017 | Marienlyst(away) | 0-2 | 2nd Division - Group 2 |
| Aug 12, 2017 | Greve(home) | 2-1 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2017 | Greve(home) | 2-1 | 2nd Division - Group 2 |
| Aug 25, 2017 | Næsby(away) | 5-2 | 2nd Division - Group 2 |
| Aug 20, 2017 | Middelfart(home) | 3-1 | 2nd Division - Group 2 |
| Aug 13, 2017 | Dalum(home) | 2-1 | 2nd Division - Group 2 |
| Aug 9, 2017 | Fremad Amager(home) | 0-5 | DBU Pokalen |
How many goals should we expect?
Kolding IF score 2.2 and concede 1.4 goals per match over their last 15; Avarta score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolding IF | 2.2 | 1.4 | 1 | 10/15 | 11/15 |
| Avarta | 2.0 | 1.3 | 4 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Avarta | 26 | 6 | 6 | 14 | 25 | 43 | 24 |
A question about Kolding IF vs Avarta?
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