Kjellerup vs Skive: result 1-7 and analysis
2. DivisionRegular Season - 18Kick-off on March 15, 2019 at 05:30 PM (UTC)XL-byg Arena, Kjellerup
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What was the result of Kjellerup vs Skive?
Skive won 1-7 on March 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kjellerup have 1 win, 4 draws and 10 defeats; Skive have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2019 | Kolding IF(away) | 1-5 | 2. Division |
| Nov 10, 2018 | Sydvest(home) | 2-2 | 2. Division |
| Nov 3, 2018 | Dalum(away) | 0-3 | 2. Division |
| Oct 28, 2018 | Ringkøbing(away) | 2-0 | 2. Division |
| Oct 20, 2018 | Odder(home) | 2-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 20, 2018 | Sydvest(away) | 3-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Kjellerup wins, 0 draws, 1 Skive win.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2018 | Skive 2-1 Kjellerup | 2. Division |
How many goals should we expect?
Kjellerup score 1.0 and concede 2.1 goals per match over their last 15; Skive score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjellerup | 1.0 | 2.1 | 2 | 9/15 | 9/15 |
| Skive | 2.0 | 1.3 | 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 Kjellerup 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