Silkeborg vs FC Helsingor: result 0-0 and analysis
1. DivisionRegular Season - 13Kick-off on October 17, 2015 at 06:45 PM (UTC)JYSK park, Silkeborg
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What was the result of Silkeborg vs FC Helsingor?
Silkeborg and FC Helsingor drew 0-0 on October 17, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg have 5 wins, 5 draws and 5 defeats; FC Helsingor have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2015 | Naestved(home) | 1-1 | 1. Division |
| Sep 27, 2015 | Roskilde(away) | 2-2 | 1. Division |
| Sep 22, 2015 | Aarhus(home) | 0-1 | DBU Pokalen |
| Sep 17, 2015 | Vejle(home) | 0-2 | 1. Division |
| Sep 10, 2015 | FC Fredericia(away) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2015 | Lyngby(home) | 0-1 | 1. Division |
| Oct 4, 2015 | Vestsjælland(away) | 0-3 | 1. Division |
| Sep 27, 2015 | AC Horsens(home) | 1-1 | 1. Division |
| Sep 23, 2015 | Fredensborg BI(away) | 1-0 | DBU Pokalen |
| Sep 20, 2015 | HB Koge(away) | 4-0 | 1. Division |
What does the head-to-head say?
In the last meeting: 1 Silkeborg win, 0 draws, 0 FC Helsingor wins.
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2015 | Silkeborg 1-0 FC Helsingor | 1. Division |
Last archived meeting: Silkeborg vs FC Helsingor on Sep 7, 2015
How many goals should we expect?
Silkeborg score 1.2 and concede 1.1 goals per match over their last 15; FC Helsingor score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg | 1.2 | 1.1 | 4 | 7/15 | 6/15 |
| FC Helsingor | 1.3 | 1.3 | 3 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Silkeborg vs FC Helsingor?
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