Køge Nord vs Fremad Valby: result 1-2 and analysis
Denmark Series - Group 1Group 1 - 14Kick-off on November 2, 2019 at 01:00 PM (UTC)Rishøj Stadion, Køge
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What was the result of Køge Nord vs Fremad Valby?
Fremad Valby won 1-2 on November 2, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Køge Nord have 6 wins, 4 draws and 3 defeats; Fremad Valby have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Skjold Birkerød(away) | 0-0 | Denmark Series - Group 1 |
| Oct 19, 2019 | Allerød(home) | 1-1 | Denmark Series - Group 1 |
| Oct 12, 2019 | Taastrup(home) | 0-2 | Denmark Series - Group 1 |
| Oct 5, 2019 | Tårnby FF(away) | 4-1 | Denmark Series - Group 1 |
| Sep 28, 2019 | BSF(away) | 0-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Taastrup(home) | 1-2 | Denmark Series - Group 1 |
| Oct 19, 2019 | Tårnby FF(away) | 2-3 | Denmark Series - Group 1 |
| Oct 12, 2019 | BSF(home) | 2-0 | Denmark Series - Group 1 |
| Oct 5, 2019 | KFUM Roskilde(away) | 1-3 | Denmark Series - Group 1 |
| Sep 29, 2019 | LSF(away) | 0-1 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 1 Køge Nord win(s), 0 draw(s), 0 Fremad Valby win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 31, 2019 | Fremad Valby 1-2 Køge Nord | Denmark Series - Group 1 |
Last archived meeting: Fremad Valby vs Køge Nord on Aug 31, 2019
How many goals should we expect?
Køge Nord score 1.9 and concede 1.2 goals per match over their last 13; Fremad Valby score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Køge Nord | 1.9 | 1.2 | 4 | 6/13 | 6/13 |
| Fremad Valby | 1.3 | 1.3 | 4 | 9/15 | 7/15 |
Over the last 13 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy