Ishøj vs AB Tårnby: result 5-3 and analysis
Friendlies ClubsClub Friendlies 4Kick-off on February 14, 2023 at 05:30 PM (UTC)Ishøj Idrætscenter, Ishøj
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What was the result of Ishøj vs AB Tårnby?
Ishøj won 5-3 on February 14, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ishøj have 9 wins, 1 draw and 5 defeats; AB Tårnby have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 7, 2023 | Frederikssund(home) | 3-1 | Friendlies Clubs |
| Feb 4, 2023 | Avarta(home) | 5-2 | Friendlies Clubs |
| Nov 19, 2022 | Vanløse(away) | 2-1 | 3. Division |
| Nov 5, 2022 | Lyseng(away) | 2-1 | 3. Division |
| Oct 29, 2022 | Silkeborg KFUM(home) | 2-3 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Næsby(away) | 0-4 | 3. Division |
| Nov 12, 2022 | Vanløse(home) | 0-2 | 3. Division |
| Nov 5, 2022 | Middelfart(away) | 3-1 | 3. Division |
| Oct 29, 2022 | Dalum(home) | 5-0 | 3. Division |
| Oct 23, 2022 | Silkeborg KFUM(away) | 1-3 | 3. Division |
What does the head-to-head say?
Across the last 3 meetings: 2 Ishøj wins, 1 draw, 0 AB Tårnby wins.
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2022 | AB Tårnby 1-3 Ishøj | 3. Division |
| Oct 5, 2019 | Ishøj 5-3 AB Tårnby | Denmark Series - Group 2 |
| Aug 3, 2019 | AB Tårnby 0-0 Ishøj | Denmark Series - Group 2 |
How many goals should we expect?
Ishøj score 3.2 and concede 1.7 goals per match over their last 15; AB Tårnby score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ishøj | 3.2 | 1.7 | 2 | 13/15 | 14/15 |
| AB Tårnby | 1.3 | 2.3 | 1 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Ishøj vs AB Tårnby?
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
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