Herstedøster vs Tårnby FF: result 0-0 and analysis
Denmark Series - Group 1Group 1 - 1Kick-off on August 7, 2022 at 08:30 AM (UTC)Herstedøster Stadion, Albertslund
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What was the result of Herstedøster vs Tårnby FF?
Herstedøster and Tårnby FF drew 0-0 on August 7, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Herstedøster have 4 wins, 2 draws and 9 defeats; Tårnby FF have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2022 | Greve(away) | 2-0 | Denmark Series - Group 1 |
| Jun 10, 2022 | Frederikssund(home) | 2-2 | Denmark Series - Group 1 |
| Jun 3, 2022 | Avarta(away) | 3-3 | Denmark Series - Group 1 |
| May 27, 2022 | Allerød(home) | 1-0 | Denmark Series - Group 1 |
| May 21, 2022 | Brønshøj(away) | 1-4 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2022 | Tune(away) | 5-1 | DBU Pokalen |
| Jun 18, 2022 | B 1908(away) | 2-2 | Denmark Series - Group 2 |
| Jun 10, 2022 | Skovshoved(home) | 3-1 | Denmark Series - Group 2 |
| Jun 4, 2022 | LSF(away) | 1-2 | Denmark Series - Group 2 |
| May 27, 2022 | GVI(home) | 3-0 | Denmark Series - Group 2 |
How many goals should we expect?
Herstedøster score 1.2 and concede 2.1 goals per match over their last 15; Tårnby FF score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Herstedøster | 1.2 | 2.1 | 3 | 9/15 | 10/15 |
| Tårnby FF | 1.9 | 0.9 | 6 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Tårnby FF | 18 | 8 | 6 | 4 | 28 | 25 | 30 |
A question about Herstedøster vs Tårnby FF?
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