Ishøj vs FA 2000: result 1-4 and analysis
Denmark Series - Group 2Regular Season - 24Kick-off on May 25, 2019 at 12:00 PM (UTC)Ishøj Idrætscenter, Ishøj
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What was the result of Ishøj vs FA 2000?
FA 2000 won 1-4 on May 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ishøj have 3 wins, 6 draws and 6 defeats; FA 2000 have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2019 | Odsherred(away) | 2-2 | Denmark Series - Group 2 |
| May 11, 2019 | Kastrup(home) | 3-0 | Denmark Series - Group 2 |
| May 4, 2019 | KFUM Roskilde(away) | 3-4 | Denmark Series - Group 2 |
| Apr 27, 2019 | Allerød(home) | 1-1 | Denmark Series - Group 2 |
| Apr 20, 2019 | B 1908(away) | 2-4 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | BK Union(home) | 4-3 | Denmark Series - Group 2 |
| May 11, 2019 | LSF(away) | 0-4 | Denmark Series - Group 2 |
| May 4, 2019 | Fremad Valby(home) | 2-1 | Denmark Series - Group 2 |
| Apr 27, 2019 | B 1908(home) | 0-0 | Denmark Series - Group 2 |
| Apr 20, 2019 | Odsherred(away) | 4-3 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 0 Ishøj wins, 0 draws, 2 FA 2000 wins.
| Date | Score | Competition |
|---|---|---|
| Mar 23, 2019 | FA 2000 4-1 Ishøj | Denmark Series - Group 2 |
| Sep 8, 2018 | Ishøj 3-4 FA 2000 | Denmark Series - Group 2 |
How many goals should we expect?
Ishøj score 1.9 and concede 2.2 goals per match over their last 15; FA 2000 score 3.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ishøj | 1.9 | 2.2 | 2 | 13/15 | 10/15 |
| FA 2000 | 3.1 | 1.7 | 2 | 12/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Ishøj vs FA 2000?
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