Kolding IF vs Greve: result 1-1 and analysis
Denmark Series - Group 2Regular Season - 7Kick-off on September 21, 2013 at 11:00 AM (UTC)Kolding Stadion, Kolding
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What was the result of Kolding IF vs Greve?
Kolding IF and Greve drew 1-1 on September 21, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolding IF have 10 wins, 2 draws and 3 defeats; Greve have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2013 | Otterup(away) | 2-0 | Denmark Series - Group 2 |
| Sep 7, 2013 | Sydalliancen(home) | 7-0 | Denmark Series - Group 2 |
| Sep 1, 2013 | Kolding B(away) | 1-0 | Denmark Series - Group 2 |
| Aug 24, 2013 | Marstal / Rise(home) | 5-2 | Denmark Series - Group 2 |
| Aug 17, 2013 | Ringsted(home) | 3-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2013 | Ringsted(home) | 0-1 | Denmark Series - Group 2 |
| Sep 8, 2013 | Næsby II(away) | 1-1 | Denmark Series - Group 2 |
| Aug 31, 2013 | Slagelse B&I(home) | 2-1 | Denmark Series - Group 2 |
| Aug 24, 2013 | KFUM Roskilde(away) | 1-1 | Denmark Series - Group 2 |
| Aug 17, 2013 | Frem Sakskøbing(home) | 5-1 | Denmark Series - Group 2 |
How many goals should we expect?
Kolding IF score 2.8 and concede 1.2 goals per match over their last 15; Greve score 2.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolding IF | 2.8 | 1.2 | 5 | 9/15 | 11/15 |
| Greve | 2.0 | 1.4 | 0 | 13/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Greve | 18 | 6 | 4 | 8 | 22 | 38 | 22 |
A question about Kolding IF vs Greve?
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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