Karlslunde vs Ishøj: result 5-3 and analysis
Denmark Series - Group 2Group 2 - 13Kick-off on October 26, 2019 at 11:00 AM (UTC)Karlslunde Stadion, Karlslunde
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What was the result of Karlslunde vs Ishøj?
Karlslunde won 5-3 on October 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Karlslunde have 8 wins, 4 draws and 3 defeats; Ishøj have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | B 1908(away) | 3-0 | Denmark Series - Group 2 |
| Oct 12, 2019 | GVI(home) | 0-0 | Denmark Series - Group 2 |
| Oct 5, 2019 | Avedøre(away) | 4-2 | Denmark Series - Group 2 |
| Sep 29, 2019 | BK Union(home) | 1-0 | Denmark Series - Group 2 |
| Sep 21, 2019 | Greve(away) | 1-2 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Greve(home) | 2-1 | Denmark Series - Group 2 |
| Oct 12, 2019 | Frederikssund(away) | 3-1 | Denmark Series - Group 2 |
| Oct 5, 2019 | AB Tårnby(home) | 5-3 | Denmark Series - Group 2 |
| Sep 28, 2019 | KFUM(home) | 5-0 | Denmark Series - Group 2 |
| Sep 21, 2019 | BK Union(away) | 2-1 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 1 Karlslunde win, 0 draws, 0 Ishøj wins.
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2019 | Ishøj 1-3 Karlslunde | Denmark Series - Group 2 |
How many goals should we expect?
Karlslunde score 1.8 and concede 1.0 goals per match over their last 15; Ishøj score 2.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Karlslunde | 1.8 | 1.0 | 7 | 8/15 | 9/15 |
| Ishøj | 2.3 | 1.4 | 5 | 8/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Karlslunde vs Ishøj?
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