Viby vs Skive: result 2-1 and analysis
DBU Pokalen2nd RoundKick-off on September 4, 2018 at 03:15 PM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Skive?
Viby won 2-1 on September 4, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 7 wins, 3 draws and 5 defeats; Skive have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Djursland(home) | 4-2 | Denmark Series - Group 4 |
| Aug 24, 2018 | VSK Århus(away) | 2-1 | Denmark Series - Group 4 |
| Aug 17, 2018 | Nørresundby(home) | 1-3 | Denmark Series - Group 4 |
| Aug 12, 2018 | Holstebro(away) | 1-1 | Denmark Series - Group 4 |
| Aug 7, 2018 | Nørresundby(away) | 3-1 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Jammerbugt(away) | 0-2 | 2. Division |
| Aug 25, 2018 | Vejgaard B(home) | 6-2 | 2. Division |
| Aug 22, 2018 | Ringkøbing(away) | 0-1 | 2. Division |
| Aug 17, 2018 | Kolding IF(home) | 2-2 | 2. Division |
| Aug 11, 2018 | Tarup-Paarup(away) | 1-0 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Viby win, 0 draws, 0 Skive wins.
| Date | Score | Competition |
|---|---|---|
| Aug 29, 2012 | Viby 2-0 Skive | DBU Pokalen |
How many goals should we expect?
Viby score 1.7 and concede 1.2 goals per match over their last 15; Skive score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 1.7 | 1.2 | 3 | 10/15 | 9/15 |
| Skive | 1.2 | 1.4 | 3 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Viby 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