Karlslunde vs Slagelse B&I: result 0-1 and analysis
Denmark Series - Group 1Regular Season - 2Kick-off on August 11, 2017 at 04:30 PM (UTC)Karlslunde Stadion, Karlslunde
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What was the result of Karlslunde vs Slagelse B&I?
Slagelse B&I won 0-1 on August 11, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Karlslunde have 5 wins, 2 draws and 8 defeats; Slagelse B&I have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Stenløse(away) | 0-1 | Denmark Series - Group 1 |
| Jun 17, 2017 | Fremad Valby(away) | 3-0 | Denmark Series - Group 2 |
| Jun 10, 2017 | Avedøre(home) | 3-0 | Denmark Series - Group 2 |
| Jun 3, 2017 | AB Tårnby(away) | 1-0 | Denmark Series - Group 2 |
| May 27, 2017 | GVI(home) | 1-4 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2017 | KFUM Roskilde(home) | 3-0 | DBU Pokalen |
| Aug 6, 2017 | LSF(home) | 4-0 | Denmark Series - Group 1 |
| Jun 20, 2015 | Døllefjelde-Musse(home) | 0-3 | Denmark Series - Group 2 |
| Jun 13, 2015 | LSF(away) | 0-7 | Denmark Series - Group 2 |
| Jun 6, 2015 | Otterup(home) | 2-2 | Denmark Series - Group 2 |
How many goals should we expect?
Karlslunde score 0.9 and concede 1.9 goals per match over their last 15; Slagelse B&I score 1.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Karlslunde | 0.9 | 1.9 | 6 | 3/15 | 9/15 |
| Slagelse B&I | 1.3 | 2.5 | 3 | 8/15 | 11/15 |
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 | Karlslunde | 18 | 4 | 1 | 13 | 23 | 44 | 13 |
A question about Karlslunde vs Slagelse B&I?
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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