Skive vs Ringkøbing: result 2-0 and analysis
2. DivisionRegular Season - 17Kick-off on March 8, 2019 at 06:00 PM (UTC)Hancock Arena, Skive
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What was the result of Skive vs Ringkøbing?
Skive won 2-0 on March 8, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 8 wins, 2 draws and 5 defeats; Ringkøbing have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 12, 2018 | Tarup-Paarup(home) | 0-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2018 | Dalum(home) | 4-2 | 2. Division |
| Nov 3, 2018 | Aarhus Fremad(away) | 0-1 | 2. Division |
| Oct 28, 2018 | Kjellerup(home) | 0-2 | 2. Division |
| Oct 19, 2018 | Kolding IF(away) | 1-3 | 2. Division |
| Oct 13, 2018 | Jammerbugt(away) | 1-2 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Skive win, 0 draws, 1 Ringkøbing win.
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2018 | Ringkøbing 1-0 Skive | 2. Division |
| Aug 8, 2018 | Ringkøbing 1-5 Skive | DBU Pokalen |
How many goals should we expect?
Skive score 2.0 and concede 1.4 goals per match over their last 15; Ringkøbing score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 2.0 | 1.4 | 2 | 10/15 | 10/15 |
| Ringkøbing | 1.5 | 1.3 | 4 | 8/15 | 7/15 |
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 Ringkøbing?
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