Frem vs Ishøj: result 1-0 and analysis
3. DivisionRegular Season - 11Kick-off on October 14, 2023 at 12:00 PM (UTC)Valby Idrætspark, København
Full time
What was the result of Frem vs Ishøj?
Frem won 1-0 on October 14, 2023.
Goalscorers
- 88′Kristian Ladewig LindbergFrem
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frem have 5 wins, 2 draws and 8 defeats; Ishøj have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2023 | Silkeborg KFUM(home) | 1-2 | 3. Division |
| Oct 1, 2023 | Avarta(away) | 1-0 | 3. Division |
| Sep 23, 2023 | Holbæk B&I(home) | 1-0 | 3. Division |
| Sep 16, 2023 | SfB-Oure(away) | 1-0 | 3. Division |
| Sep 8, 2023 | Holstebro(home) | 0-0 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2023 | Avarta(home) | 1-1 | 3. Division |
| Oct 1, 2023 | Silkeborg KFUM(away) | 2-4 | 3. Division |
| Sep 26, 2023 | Vanløse(away) | 3-1 | DBU Pokalen |
| Sep 23, 2023 | SfB-Oure(home) | 2-2 | 3. Division |
| Sep 16, 2023 | VSK Århus(away) | 1-2 | 3. Division |
How many goals should we expect?
Frem score 1.1 and concede 1.4 goals per match over their last 15; Ishøj score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frem | 1.1 | 1.4 | 5 | 7/15 | 8/15 |
| Ishøj | 1.9 | 1.6 | 2 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Frem sit 11th in 3. Division (9 points from 10 matches) and Ishøj sit 9th (11 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Ishøj | 11 | 3 | 2 | 6 | 12 | 21 | 11 |
| 11 | Frem | 10 | 2 | 3 | 5 | 17 | 19 | 9 |
A question about Frem vs Ishøj?
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