Skive vs AC Horsens: result 3-0 and analysis
1. DivisionRegular Season - 25Kick-off on April 17, 2015 at 05:00 PM (UTC)Spar Nord Arena, Skive
Full time
What was the result of Skive vs AC Horsens?
Skive won 3-0 on April 17, 2015.
Goalscorers
- 35′Danilo Esteban Arrieta CerdaSkive
- 53′M. JespersenSkive (pen.)
- 67′Michael ByskovSkive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 4 wins, 5 draws and 6 defeats; AC Horsens have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2015 | AB Copenhagen(away) | 1-2 | 1. Division |
| Apr 6, 2015 | Lyngby(home) | 1-0 | 1. Division |
| Apr 2, 2015 | Vejle(away) | 1-2 | 1. Division |
| Mar 27, 2015 | Viborg(home) | 0-0 | 1. Division |
| Mar 22, 2015 | Aarhus(away) | 2-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2015 | Aarhus(home) | 1-1 | 1. Division |
| Apr 6, 2015 | AB Copenhagen(away) | 3-0 | 1. Division |
| Apr 2, 2015 | Lyngby(home) | 1-0 | 1. Division |
| Mar 29, 2015 | FC Fredericia(home) | 1-1 | 1. Division |
| Mar 21, 2015 | Brønshøj(away) | 3-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Skive win(s), 1 draw(s), 0 AC Horsens win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 2, 2014 | AC Horsens 2-2 Skive | 1. Division |
| Aug 8, 2014 | Skive 1-0 AC Horsens | 1. Division |
How many goals should we expect?
Skive score 1.1 and concede 1.1 goals per match over their last 15; AC Horsens score 1.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.1 | 1.1 | 4 | 8/15 | 7/15 |
| AC Horsens | 1.6 | 1.8 | 2 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | AC Horsens | 32 | 15 | 9 | 8 | 42 | 27 | 54 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy