VSK Århus vs Sundby: result 2-1 and analysis
3. DivisionRegular Season - 15Kick-off on November 9, 2024 at 12:30 PM (UTC)Vejlby Stadion, Risskov
Full time
What was the result of VSK Århus vs Sundby?
VSK Århus won 2-1 on November 9, 2024.
Goalscorers
- 6′?VSK Århus
- 11′?Sundby
- 69′?VSK Århus
What is the recent form of both teams?
Over their last 15 matches in all competitions, VSK Århus have 8 wins, 1 draw and 6 defeats; Sundby have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2024 | Avarta(home) | 2-3 | 3. Division |
| Oct 26, 2024 | FA 2000(away) | 2-1 | 3. Division |
| Oct 19, 2024 | Næsby(home) | 1-2 | 3. Division |
| Oct 13, 2024 | Avarta(away) | 1-0 | 3. Division |
| Oct 5, 2024 | Brønshøj(home) | 2-0 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2024 | FA 2000(home) | 1-0 | 3. Division |
| Oct 27, 2024 | Avarta(away) | 2-1 | 3. Division |
| Oct 19, 2024 | Brabrand(home) | 1-1 | 3. Division |
| Oct 12, 2024 | Næsby(away) | 2-0 | 3. Division |
| Oct 4, 2024 | Avarta(home) | 2-0 | 3. Division |
What does the head-to-head say?
In the last meeting: 1 VSK Århus win, 0 draws, 0 Sundby wins.
| Date | Score | Competition |
|---|---|---|
| Aug 10, 2024 | Sundby 1-2 VSK Århus | 3. Division |
How many goals should we expect?
VSK Århus score 1.6 and concede 1.3 goals per match over their last 15; Sundby score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VSK Århus | 1.6 | 1.3 | 4 | 8/15 | 9/15 |
| Sundby | 1.1 | 1.3 | 5 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Sundby | 11 | 3 | 1 | 7 | 16 | 19 | 10 |
A question about VSK Århus vs Sundby?
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