Djursland vs Vejgaard B: result 2-2 and analysis
Denmark Series - Group 4Group 4 - 10Kick-off on October 17, 2020 at 01:00 PM (UTC)HSM Arena Grenå, Grenaa
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What was the result of Djursland vs Vejgaard B?
Djursland and Vejgaard B drew 2-2 on October 17, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djursland have 4 wins, 3 draws and 8 defeats; Vejgaard B have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Nørresundby(home) | 3-2 | Denmark Series - Group 4 |
| Oct 3, 2020 | Herning Fremad(away) | 3-2 | Denmark Series - Group 4 |
| Sep 26, 2020 | Skjold Sæby(home) | 0-1 | Denmark Series - Group 4 |
| Sep 18, 2020 | Silkeborg KFUM(away) | 1-4 | Denmark Series - Group 4 |
| Sep 12, 2020 | Tjørring(home) | 1-2 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Herning Fremad(away) | 6-0 | Denmark Series - Group 4 |
| Sep 26, 2020 | VRI(away) | 2-2 | Denmark Series - Group 4 |
| Sep 19, 2020 | Aarhus Fremad II(home) | 3-1 | Denmark Series - Group 4 |
| Sep 12, 2020 | Lyseng(away) | 1-2 | Denmark Series - Group 4 |
| Sep 8, 2020 | Jammerbugt(home) | 0-2 | DBU Pokalen |
How many goals should we expect?
Djursland score 1.2 and concede 2.3 goals per match over their last 15; Vejgaard B score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djursland | 1.2 | 2.3 | 1 | 9/15 | 11/15 |
| Vejgaard B | 1.7 | 1.4 | 4 | 7/15 | 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 Djursland vs Vejgaard B?
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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