Skjold Sæby vs Frederikssund: result 0-0 and analysis
Denmark Series - Group 1Regular Season - 6Kick-off on September 14, 2012 at 05:00 PM (UTC)Fælledparken, København
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What was the result of Skjold Sæby vs Frederikssund?
Skjold Sæby and Frederikssund drew 0-0 on September 14, 2012.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Skjold Sæby have 1 win, 1 draw and 3 defeats; Frederikssund have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2012 | B 1903(away) | 1-2 | Denmark Series - Group 1 |
| Sep 4, 2012 | Vanløse(home) | 0-3 | Denmark Series - Group 1 |
| Aug 25, 2012 | BSF(away) | 0-0 | Denmark Series - Group 1 |
| Aug 15, 2012 | AB Copenhagen(home) | 2-0 | DBU Pokalen |
| Aug 11, 2012 | Avedøre(away) | 0-4 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2012 | Skovshoved(home) | 2-3 | Denmark Series - Group 1 |
| Sep 1, 2012 | FA 2000(away) | 4-3 | Denmark Series - Group 1 |
| Aug 29, 2012 | Søllerød-Vedbæk(home) | 0-3 | DBU Pokalen |
| Aug 26, 2012 | Øresund OKF(home) | 1-1 | Denmark Series - Group 1 |
| Aug 18, 2012 | BGA(away) | 2-0 | Denmark Series - Group 1 |
How many goals should we expect?
Skjold Sæby score 0.6 and concede 1.8 goals per match over their last 5; Frederikssund score 2.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 0.6 | 1.8 | 2 | 1/5 | 3/5 |
| Frederikssund | 2.1 | 2.0 | 4 | 9/15 | 10/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Frederikssund | 18 | 8 | 1 | 9 | 24 | 25 | 25 |
A question about Skjold Sæby vs Frederikssund?
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