Kolding IF vs Skive: result 3-5 and analysis
2. DivisionRegular Season - 20Kick-off on March 29, 2019 at 06:00 PM (UTC)Autocentralen Park, Kolding
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What was the result of Kolding IF vs Skive?
Skive won 3-5 on March 29, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolding IF have 11 wins, 2 draws and 2 defeats; Skive have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2019 | Odder(home) | 1-1 | 2. Division |
| Mar 16, 2019 | Tarup-Paarup(away) | 2-0 | 2. Division |
| Mar 13, 2019 | FC Midtjylland(home) | 0-2 | DBU Pokalen |
| Mar 9, 2019 | Kjellerup(home) | 5-1 | 2. Division |
| Nov 10, 2018 | Vejgaard B(away) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 3, 2018 | Vejgaard B(away) | 1-2 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Kolding IF wins, 1 draw, 1 Skive win.
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2018 | Skive 2-2 Kolding IF | 2. Division |
| Sep 23, 2015 | Kolding IF 1-3 Skive | DBU Pokalen |
How many goals should we expect?
Kolding IF score 2.1 and concede 0.9 goals per match over their last 15; Skive score 2.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolding IF | 2.1 | 0.9 | 5 | 8/15 | 7/15 |
| Skive | 2.2 | 1.2 | 3 | 10/15 | 10/15 |
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 Kolding IF 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