Vejgaard B vs Skive: result 2-1 and analysis
2. DivisionRegular Season - 15Kick-off on November 3, 2018 at 12:00 PM (UTC)Spar Nord Arena, Aalborg
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What was the result of Vejgaard B vs Skive?
Vejgaard B won 2-1 on November 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vejgaard B have 3 wins, 6 draws and 6 defeats; Skive have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Tarup-Paarup(away) | 2-1 | 2. Division |
| Oct 20, 2018 | Jammerbugt(home) | 1-1 | 2. Division |
| Oct 13, 2018 | Odder(away) | 3-1 | 2. Division |
| Oct 6, 2018 | Brabrand(home) | 0-2 | 2. Division |
| Sep 30, 2018 | Aarhus Fremad(away) | 2-3 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Jammerbugt(home) | 2-0 | 2. Division |
| Oct 20, 2018 | Sydvest(away) | 3-2 | 2. Division |
| Oct 12, 2018 | Tarup-Paarup(home) | 0-0 | 2. Division |
| Oct 6, 2018 | Dalum(away) | 5-1 | 2. Division |
| Sep 29, 2018 | Kjellerup(home) | 2-1 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Vejgaard B wins, 0 draws, 1 Skive win.
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2018 | Skive 6-2 Vejgaard B | 2. Division |
How many goals should we expect?
Vejgaard B score 1.3 and concede 1.9 goals per match over their last 15; Skive score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vejgaard B | 1.3 | 1.9 | 2 | 11/15 | 9/15 |
| Skive | 2.1 | 1.2 | 3 | 9/15 | 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 Vejgaard B vs Skive?
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