Skive vs Esbjerg: result 0-4 and analysis
1. DivisionRegular Season - 6Kick-off on September 18, 2011 at 11:45 AM (UTC)Hancock Arena, Skive
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What was the result of Skive vs Esbjerg?
Esbjerg won 0-4 on September 18, 2011.
Goalscorers
- 31′A. SmárasonEsbjerg
- 58′J. LangeEsbjerg (pen.)
- 70′N. HøghEsbjerg
- 77′Sebastian Lykke AndersenEsbjerg
What is the recent form of both teams?
Over their last 5 matches in all competitions, Skive have 1 win, 2 draws and 2 defeats; Esbjerg have 4, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2011 | FC Fredericia(away) | 1-0 | 1. Division |
| Sep 4, 2011 | Viborg(home) | 0-0 | 1. Division |
| Aug 28, 2011 | Jammerbugt(away) | 1-2 | 1. Division |
| Aug 21, 2011 | Hobro(home) | 1-6 | 1. Division |
| Aug 13, 2011 | Brønshøj(away) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2011 | Roskilde(home) | 1-0 | 1. Division |
| Sep 4, 2011 | AB Copenhagen(away) | 2-0 | 1. Division |
| Aug 26, 2011 | Vendsyssel FF(home) | 3-0 | 1. Division |
| Aug 19, 2011 | Vestsjælland(away) | 2-3 | 1. Division |
| Aug 14, 2011 | Naestved(home) | 5-4 | 1. Division |
How many goals should we expect?
Skive score 0.8 and concede 1.8 goals per match over their last 5; Esbjerg score 2.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 0.8 | 1.8 | 2 | 3/5 | 2/5 |
| Esbjerg | 2.6 | 1.4 | 3 | 2/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Esbjerg | 10 | 1 | 3 | 6 | 13 | 22 | 6 |
A question about Skive vs Esbjerg?
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