VSK Århus vs Ishøj: result 1-3 and analysis
3. DivisionPromotion Group - 10Kick-off on June 17, 2023 at 12:00 PM (UTC)Vejlby Stadion, Risskov
Full time
What was the result of VSK Århus vs Ishøj?
Ishøj won 1-3 on June 17, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, VSK Århus have 8 wins, 3 draws and 4 defeats; Ishøj have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2023 | FA 2000(away) | 0-1 | 3. Division |
| Jun 3, 2023 | Næsby(away) | 2-1 | 3. Division |
| May 27, 2023 | Middelfart(home) | 1-2 | 3. Division |
| May 20, 2023 | Vanløse(home) | 0-0 | 3. Division |
| May 13, 2023 | Middelfart(away) | 1-0 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2023 | Middelfart(home) | 0-2 | 3. Division |
| Jun 3, 2023 | Vanløse(away) | 2-4 | 3. Division |
| May 27, 2023 | Næsby(home) | 3-1 | 3. Division |
| May 20, 2023 | FA 2000(away) | 1-3 | 3. Division |
| May 12, 2023 | Næsby(away) | 1-1 | 3. Division |
What does the head-to-head say?
Across the last 3 meetings: 2 VSK Århus wins, 1 draw, 0 Ishøj wins.
| Date | Score | Competition |
|---|---|---|
| May 6, 2023 | Ishøj 0-2 VSK Århus | 3. Division |
| Apr 10, 2023 | Ishøj 1-5 VSK Århus | 3. Division |
| Sep 3, 2022 | VSK Århus 2-2 Ishøj | 3. Division |
How many goals should we expect?
VSK Århus score 1.9 and concede 1.1 goals per match over their last 15; Ishøj score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VSK Århus | 1.9 | 1.1 | 4 | 10/15 | 9/15 |
| Ishøj | 1.4 | 1.5 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Ishøj | 11 | 3 | 2 | 6 | 12 | 21 | 11 |
A question about VSK Århus vs Ishøj?
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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