Skive vs Dalum: result 2-1 and analysis
2. DivisionRegular Season - 19Kick-off on March 23, 2019 at 02:00 PM (UTC)Hancock Arena, Skive
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What was the result of Skive vs Dalum?
Skive won 2-1 on March 23, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 10 wins, 1 draw and 4 defeats; Dalum have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 3, 2018 | Vejgaard B(away) | 1-2 | 2. Division |
| Oct 27, 2018 | Jammerbugt(home) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2019 | Sydvest(home) | 0-3 | 2. Division |
| Mar 9, 2019 | Odder(away) | 1-3 | 2. Division |
| Nov 11, 2018 | Ringkøbing(away) | 2-4 | 2. Division |
| Nov 3, 2018 | Kjellerup(home) | 3-0 | 2. Division |
| Oct 27, 2018 | Kolding IF(home) | 1-1 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Skive win, 0 draws, 0 Dalum wins.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2018 | Dalum 1-5 Skive | 2. Division |
How many goals should we expect?
Skive score 2.5 and concede 1.3 goals per match over their last 15; Dalum score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 2.5 | 1.3 | 3 | 10/15 | 10/15 |
| Dalum | 1.8 | 1.7 | 3 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Skive | 11 | 4 | 2 | 5 | 13 | 15 | 14 |
A question about Skive vs Dalum?
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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