Skjold Sæby vs Viby: result 4-2 and analysis
Denmark Series - Group 4Group 4 - 1Kick-off on August 3, 2019 at 11:30 AM (UTC)Fælledparken, København
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What was the result of Skjold Sæby vs Viby?
Skjold Sæby won 4-2 on August 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 0 wins, 5 draws and 10 defeats; Viby have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2017 | Lystrup(away) | 0-5 | Denmark Series - Group 4 |
| Jun 9, 2017 | Skanderborg(home) | 1-3 | Denmark Series - Group 4 |
| Jun 3, 2017 | Randers Freja(away) | 1-3 | Denmark Series - Group 4 |
| May 27, 2017 | VSK Aarhus II(home) | 1-1 | Denmark Series - Group 4 |
| May 20, 2017 | AaB II(away) | 2-3 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2019 | AaB II(away) | 6-1 | Denmark Series - Group 4 |
| Jun 8, 2019 | Lystrup(home) | 7-0 | Denmark Series - Group 4 |
| Jun 1, 2019 | Vatanspor(home) | 2-3 | Denmark Series - Group 4 |
| May 25, 2019 | Lyseng(home) | 1-4 | Denmark Series - Group 4 |
| May 18, 2019 | Djursland(home) | 1-4 | Denmark Series - Group 4 |
How many goals should we expect?
Skjold Sæby score 1.1 and concede 2.6 goals per match over their last 15; Viby score 3.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.1 | 2.6 | 0 | 12/15 | 12/15 |
| Viby | 3.3 | 2.5 | 1 | 12/15 | 15/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Viby | 18 | 5 | 4 | 9 | 29 | 42 | 19 |
A question about Skjold Sæby vs Viby?
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