Allerød vs Ishøj: result 2-5 and analysis
Denmark Series - Group 1Promotion Group 1 - 3Kick-off on June 9, 2021 at 05:00 PM (UTC)Allerød Idrætspark, Allerød
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What was the result of Allerød vs Ishøj?
Ishøj won 2-5 on June 9, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Allerød have 8 wins, 2 draws and 5 defeats; Ishøj have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2021 | Køge Nord(away) | 4-0 | Denmark Series - Group 1 |
| May 29, 2021 | Frederikssund(home) | 1-1 | Denmark Series - Group 1 |
| May 22, 2021 | Karlslunde(away) | 0-1 | Denmark Series - Group 1 |
| May 19, 2021 | B 1908(home) | 0-3 | Denmark Series - Group 2 |
| May 8, 2021 | Skjold Birkerød(home) | 3-2 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2021 | GVI(home) | 0-0 | Denmark Series - Group 1 |
| May 29, 2021 | Herlev(home) | 3-1 | Denmark Series - Group 1 |
| May 22, 2021 | LSF(away) | 1-1 | Denmark Series - Group 1 |
| May 16, 2021 | KFUM(away) | 3-1 | Denmark Series - Group 1 |
| May 13, 2021 | Tårnby FF(home) | 2-3 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 3 meetings: 1 Allerød win(s), 1 draw(s), 1 Ishøj win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 27, 2019 | Ishøj 1-1 Allerød | Denmark Series - Group 2 |
| Oct 13, 2018 | Allerød 3-2 Ishøj | Denmark Series - Group 2 |
| Aug 11, 2018 | Ishøj 2-1 Allerød | Denmark Series - Group 2 |
How many goals should we expect?
Allerød score 1.7 and concede 1.3 goals per match over their last 15; Ishøj score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Allerød | 1.7 | 1.3 | 4 | 8/15 | 9/15 |
| Ishøj | 2.3 | 1.1 | 5 | 9/15 | 9/15 |
Over the last 15 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