Skive vs FC Helsingor: result 0-1 and analysis
1. DivisionMatchday 32Kick-off on May 22, 2016 at 11:45 AM (UTC)Hancock Arena, Skive
Full time
What was the result of Skive vs FC Helsingor?
FC Helsingor won 0-1 on May 22, 2016.
Goalscorers
- 47′Andreas Holm JensenFC Helsingor
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 3 wins, 5 draws and 7 defeats; FC Helsingor have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2016 | Lyngby(home) | 2-2 | 1. Division |
| May 11, 2016 | Silkeborg(away) | 1-3 | 1. Division |
| May 8, 2016 | AC Horsens(away) | 2-3 | 1. Division |
| May 1, 2016 | Naestved(home) | 2-4 | 1. Division |
| Apr 24, 2016 | HB Koge(away) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2016 | HB Koge(away) | 1-0 | 1. Division |
| May 11, 2016 | Vestsjælland(home) | 3-0 | 1. Division |
| May 8, 2016 | Lyngby(away) | 0-1 | 1. Division |
| May 1, 2016 | Roskilde(home) | 3-1 | 1. Division |
| Apr 24, 2016 | FC Fredericia(home) | 1-2 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Skive wins, 0 draws, 2 FC Helsingor wins.
| Date | Score | Competition |
|---|---|---|
| Mar 6, 2016 | FC Helsingor 2-1 Skive | 1. Division |
| Aug 23, 2015 | FC Helsingor 1-0 Skive | 1. Division |
How many goals should we expect?
Skive score 1.3 and concede 1.7 goals per match over their last 15; FC Helsingor score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.3 | 1.7 | 2 | 10/15 | 10/15 |
| FC Helsingor | 1.6 | 1.3 | 4 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Skive 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