Aarhus Fremad vs Skive: result 1-3 and analysis
2. DivisionRegular Season - 21Kick-off on April 6, 2019 at 12:00 PM (UTC)Riisvangen Stadion, Århus
Full time
What was the result of Aarhus Fremad vs Skive?
Skive won 1-3 on April 6, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aarhus Fremad have 9 wins, 3 draws and 3 defeats; Skive have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Sydvest(away) | 1-1 | 2. Division |
| Mar 23, 2019 | Kjellerup(home) | 3-2 | 2. Division |
| Mar 16, 2019 | Vejgaard B(away) | 1-4 | 2. Division |
| Mar 9, 2019 | Jammerbugt(home) | 4-0 | 2. Division |
| Nov 10, 2018 | Tarup-Paarup(away) | 4-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2019 | Kolding IF(away) | 5-3 | 2. Division |
| Mar 23, 2019 | Dalum(home) | 2-1 | 2. Division |
| Mar 15, 2019 | Kjellerup(away) | 7-1 | 2. Division |
| Mar 8, 2019 | Ringkøbing(home) | 2-0 | 2. Division |
| Nov 10, 2018 | Odder(away) | 3-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Aarhus Fremad win, 0 draws, 0 Skive wins.
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2018 | Skive 0-1 Aarhus Fremad | 2. Division |
Last archived meeting: Skive vs Aarhus Fremad on Sep 21, 2018
How many goals should we expect?
Aarhus Fremad score 1.7 and concede 1.1 goals per match over their last 15; Skive score 2.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aarhus Fremad | 1.7 | 1.1 | 7 | 7/15 | 7/15 |
| Skive | 2.5 | 1.3 | 3 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Skive | 12 | 5 | 2 | 5 | 15 | 15 | 17 |
A question about Aarhus Fremad 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