Sydvest vs Skive: result 2-3 and analysis
2. DivisionRegular Season - 13Kick-off on October 20, 2018 at 01:00 PM (UTC)BankParken, Tønder
Full time
What was the result of Sydvest vs Skive?
Skive won 2-3 on October 20, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sydvest have 1 win, 4 draws and 10 defeats; Skive have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2018 | Kolding IF(home) | 0-1 | 2. Division |
| Oct 7, 2018 | Ringkøbing(away) | 0-1 | 2. Division |
| Sep 29, 2018 | Tarup-Paarup(home) | 0-2 | 2. Division |
| Sep 22, 2018 | Jammerbugt(home) | 0-3 | 2. Division |
| Sep 15, 2018 | Aarhus Fremad(away) | 1-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 21, 2018 | Aarhus Fremad(home) | 0-1 | 2. Division |
| Sep 15, 2018 | Brabrand(away) | 2-1 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Sydvest wins, 0 draws, 1 Skive win.
| Date | Score | Competition |
|---|---|---|
| Aug 4, 2018 | Skive 3-1 Sydvest | 2. Division |
How many goals should we expect?
Sydvest score 1.1 and concede 2.0 goals per match over their last 15; Skive score 2.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sydvest | 1.1 | 2.0 | 0 | 9/15 | 7/15 |
| Skive | 2.0 | 1.4 | 2 | 9/15 | 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 Sydvest 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