Skjold Sæby vs Vejgaard B: result 1-1 and analysis
Denmark Series - Group 4Group 4 - 3Kick-off on August 29, 2020 at 11:30 AM (UTC)Fælledparken, København
Full time
What was the result of Skjold Sæby vs Vejgaard B?
Skjold Sæby and Vejgaard B drew 1-1 on August 29, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 4 wins, 1 draw and 10 defeats; Vejgaard B have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2020 | Herning Fremad(away) | 3-5 | Denmark Series - Group 4 |
| Aug 15, 2020 | Silkeborg KFUM(home) | 0-2 | Denmark Series - Group 4 |
| Aug 8, 2020 | Jammerbugt(away) | 0-5 | Friendlies Clubs |
| Nov 2, 2019 | VRI(away) | 2-2 | Denmark Series - Group 4 |
| Oct 26, 2019 | Silkeborg KFUM(home) | 1-5 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2020 | Tjørring(home) | 5-0 | Denmark Series - Group 4 |
| Aug 14, 2020 | Kjellerup(away) | 1-1 | Denmark Series - Group 4 |
| Aug 8, 2020 | Thisted FC(away) | 1-0 | Friendlies Clubs |
| Mar 7, 2020 | Brabrand(away) | 0-3 | 2nd Division - Group 2 |
| Feb 22, 2020 | Vanløse(away) | 0-1 | Friendlies Clubs |
How many goals should we expect?
Skjold Sæby score 1.9 and concede 2.9 goals per match over their last 15; Vejgaard B score 0.8 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.9 | 2.9 | 3 | 9/15 | 13/15 |
| Vejgaard B | 0.8 | 2.3 | 2 | 4/15 | 9/15 |
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 Skjold Sæby vs Vejgaard B?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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