Ishøj vs Allerød: result 0-1 and analysis
Denmark Series - Group 1Promotion Group 1 - 7Kick-off on June 23, 2021 at 05:00 PM (UTC)Ishøj Idrætscenter, Ishøj
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What was the result of Ishøj vs Allerød?
Allerød won 0-1 on June 23, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ishøj have 8 wins, 4 draws and 3 defeats; Allerød have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2021 | Herlev(away) | 0-2 | Denmark Series - Group 1 |
| Jun 12, 2021 | LSF(home) | 3-2 | Denmark Series - Group 1 |
| Jun 9, 2021 | Allerød(away) | 5-2 | Denmark Series - Group 1 |
| Jun 5, 2021 | GVI(home) | 0-0 | Denmark Series - Group 1 |
| May 29, 2021 | Herlev(home) | 3-1 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2021 | Frederikssund(away) | 1-2 | Denmark Series - Group 1 |
| Jun 12, 2021 | Karlslunde(home) | 1-2 | Denmark Series - Group 1 |
| Jun 9, 2021 | Ishøj(home) | 2-5 | Denmark Series - Group 1 |
| Jun 5, 2021 | Køge Nord(away) | 4-0 | Denmark Series - Group 1 |
| May 29, 2021 | Frederikssund(home) | 1-1 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 4 meetings: 2 Ishøj win(s), 1 draw(s), 1 Allerød win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 9, 2021 | Allerød 2-5 Ishøj | Denmark Series - Group 1 |
| 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?
Ishøj score 2.1 and concede 1.0 goals per match over their last 15; Allerød score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ishøj | 2.1 | 1.0 | 5 | 8/15 | 8/15 |
| Allerød | 1.7 | 1.7 | 3 | 10/15 | 11/15 |
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