Esbjerg vs Skive: result 2-1 and analysis
1. DivisionRegular Season - 19Kick-off on April 29, 2012 at 01:00 PM (UTC)Blue Water Arena, Esbjerg
Full time
What was the result of Esbjerg vs Skive?
Esbjerg won 2-1 on April 29, 2012.
Goalscorers
- 26′N. HøghEsbjerg
- 45′J. KnudsenEsbjerg
- 74′Martin ThomsenSkive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Esbjerg have 13 wins, 2 draws and 0 defeats; Skive have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2012 | Roskilde(away) | 2-1 | 1. Division |
| Apr 13, 2012 | AB Copenhagen(home) | 3-0 | 1. Division |
| Apr 9, 2012 | Vendsyssel FF(away) | 4-0 | 1. Division |
| Apr 1, 2012 | Vestsjælland(home) | 3-1 | 1. Division |
| Nov 13, 2011 | Naestved(away) | 3-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2012 | FC Fredericia(home) | 0-2 | 1. Division |
| Apr 13, 2012 | Viborg(away) | 2-2 | 1. Division |
| Apr 9, 2012 | Jammerbugt(home) | 3-1 | 1. Division |
| Apr 5, 2012 | Hobro(away) | 0-2 | 1. Division |
| Nov 13, 2011 | Brønshøj(home) | 4-1 | 1. Division |
What does the head-to-head say?
In the last meeting: 1 Esbjerg win, 0 draws, 0 Skive wins.
| Date | Score | Competition |
|---|---|---|
| Sep 18, 2011 | Skive 0-4 Esbjerg | 1. Division |
How many goals should we expect?
Esbjerg score 2.3 and concede 0.6 goals per match over their last 15; Skive score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Esbjerg | 2.3 | 0.6 | 7 | 8/15 | 11/15 |
| Skive | 1.1 | 1.7 | 4 | 6/15 | 9/15 |
Over the last 15 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 Esbjerg vs Skive?
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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