Skive vs Aarhus: result 1-1 and analysis
1. DivisionRegular Season - 31Kick-off on May 23, 2015 at 02:30 PM (UTC)Spar Nord Arena, Skive
Full time
What was the result of Skive vs Aarhus?
Skive and Aarhus drew 1-1 on May 23, 2015.
Goalscorers
- 12′Kim Engel AabechAarhus
- 57′John DyringSkive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 3 wins, 8 draws and 4 defeats; Aarhus have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2015 | Viborg(away) | 1-1 | 1. Division |
| May 16, 2015 | Brønshøj(away) | 0-0 | 1. Division |
| May 8, 2015 | Vejle(home) | 1-1 | 1. Division |
| May 3, 2015 | Roskilde(away) | 0-3 | 1. Division |
| Apr 24, 2015 | HB Koge(home) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2015 | HB Koge(home) | 1-1 | 1. Division |
| May 14, 2015 | FC Fredericia(home) | 0-1 | 1. Division |
| May 7, 2015 | Roskilde(away) | 2-0 | 1. Division |
| May 3, 2015 | Brønshøj(home) | 4-0 | 1. Division |
| Apr 26, 2015 | Vejle(away) | 3-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Skive wins, 2 draws, 0 Aarhus wins.
| Date | Score | Competition |
|---|---|---|
| Mar 22, 2015 | Aarhus 2-2 Skive | 1. Division |
| Oct 5, 2014 | Aarhus 0-0 Skive | 1. Division |
How many goals should we expect?
Skive score 0.9 and concede 1.0 goals per match over their last 15; Aarhus score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 0.9 | 1.0 | 5 | 8/15 | 5/15 |
| Aarhus | 1.7 | 0.7 | 5 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Skive vs Aarhus?
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