Vejgaard B vs Frem: result 0-3 and analysis
3. DivisionRegular Season - 16Kick-off on November 18, 2023 at 12:00 PM (UTC)Spar Nord Arena, Aalborg
Full time
What was the result of Vejgaard B vs Frem?
Frem won 0-3 on November 18, 2023.
Goalscorers
- 22′D. WarmbachFrem
- 44′S. Seeger-HansenFrem
- 90′?Frem
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vejgaard B have 5 wins, 4 draws and 6 defeats; Frem have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2023 | Avarta(away) | 0-1 | 3. Division |
| Nov 4, 2023 | Silkeborg KFUM(home) | 1-2 | 3. Division |
| Oct 28, 2023 | SfB-Oure(away) | 5-0 | 3. Division |
| Oct 21, 2023 | Holbæk B&I(home) | 2-2 | 3. Division |
| Oct 13, 2023 | Silkeborg KFUM(away) | 3-1 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2023 | Lyseng(home) | 3-2 | 3. Division |
| Nov 4, 2023 | Holstebro(away) | 3-1 | 3. Division |
| Oct 28, 2023 | Næsby(home) | 0-0 | 3. Division |
| Oct 21, 2023 | Vanløse(away) | 1-0 | 3. Division |
| Oct 14, 2023 | Ishøj(home) | 1-0 | 3. Division |
What does the head-to-head say?
In the last meeting: 0 Vejgaard B wins, 0 draws, 1 Frem win.
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2023 | Frem 3-0 Vejgaard B | 3. Division |
How many goals should we expect?
Vejgaard B score 1.6 and concede 1.3 goals per match over their last 15; Frem score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vejgaard B | 1.6 | 1.3 | 3 | 9/15 | 10/15 |
| Frem | 1.1 | 0.9 | 8 | 5/15 | 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 | Frem | 10 | 2 | 3 | 5 | 17 | 19 | 9 |
A question about Vejgaard B vs Frem?
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