Vejgaard B vs Silkeborg KFUM: result 1-1 and analysis
Denmark Series - Group 4Group 4 - 19Kick-off on April 10, 2021 at 11:00 AM (UTC)Spar Nord Arena, Aalborg
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What was the result of Vejgaard B vs Silkeborg KFUM?
Vejgaard B and Silkeborg KFUM drew 1-1 on April 10, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vejgaard B have 6 wins, 5 draws and 4 defeats; Silkeborg KFUM have 10, 5 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2021 | VRI(home) | 1-1 | Denmark Series - Group 4 |
| Apr 1, 2021 | Tjørring(away) | 1-0 | Denmark Series - Group 4 |
| Oct 17, 2020 | Djursland(away) | 2-2 | Denmark Series - Group 4 |
| Oct 10, 2020 | Herning Fremad(away) | 6-0 | Denmark Series - Group 4 |
| Sep 26, 2020 | VRI(away) | 2-2 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2021 | Herning Fremad(away) | 3-0 | Denmark Series - Group 4 |
| Apr 1, 2021 | Nørresundby(away) | 2-1 | Denmark Series - Group 4 |
| Oct 23, 2020 | Tjørring(home) | 0-0 | Denmark Series - Group 4 |
| Oct 17, 2020 | Kjellerup(away) | 1-0 | Denmark Series - Group 4 |
| Sep 25, 2020 | Herning Fremad(home) | 3-1 | Denmark Series - Group 4 |
How many goals should we expect?
Vejgaard B score 1.7 and concede 1.1 goals per match over their last 15; Silkeborg KFUM score 2.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vejgaard B | 1.7 | 1.1 | 5 | 7/15 | 7/15 |
| Silkeborg KFUM | 2.1 | 0.8 | 7 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Vejgaard B | 18 | 14 | 2 | 2 | 51 | 19 | 44 |
A question about Vejgaard B vs Silkeborg KFUM?
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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