Skjold Sæby vs BGA: result 0-3 and analysis
Denmark Series - Group 1Regular Season - 22Kick-off on May 22, 2013 at 05:00 PM (UTC)Fælledparken, København
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What was the result of Skjold Sæby vs BGA?
BGA won 0-3 on May 22, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 5 wins, 2 draws and 8 defeats; BGA have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2013 | LSF(away) | 1-3 | Denmark Series - Group 1 |
| May 14, 2013 | B 93(home) | 0-4 | Denmark Series - Group 1 |
| May 5, 2013 | Frederikssund(away) | 2-0 | Denmark Series - Group 1 |
| Apr 25, 2013 | B 1903(home) | 0-0 | Denmark Series - Group 1 |
| Apr 19, 2013 | Vanløse(away) | 1-2 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2013 | Skovshoved(home) | 2-3 | Denmark Series - Group 1 |
| May 11, 2013 | FA 2000(away) | 3-3 | Denmark Series - Group 1 |
| May 8, 2013 | B 1903(home) | 4-0 | Denmark Series - Group 1 |
| May 4, 2013 | Øresund OKF(home) | 4-0 | Denmark Series - Group 1 |
| Apr 27, 2013 | Virum-Sorgenfri(away) | 1-1 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 1 Skjold Sæby win, 0 draws, 0 BGA wins.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2012 | BGA 1-3 Skjold Sæby | Denmark Series - Group 1 |
How many goals should we expect?
Skjold Sæby score 1.2 and concede 1.9 goals per match over their last 15; BGA score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.2 | 1.9 | 3 | 10/15 | 10/15 |
| BGA | 1.5 | 1.1 | 6 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Skjold Sæby vs BGA?
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