Svendborg vs Sydvest: result 2-0 and analysis
2nd Division - Group 2Regular Season - 8Kick-off on September 24, 2016 at 01:00 PM (UTC)Høje Bøge Stadion, Svendborg
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What was the result of Svendborg vs Sydvest?
Svendborg won 2-0 on September 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Svendborg have 1 wins, 3 draws and 11 defeats; Sydvest have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Middelfart(away) | 1-3 | 2nd Division - Group 2 |
| Sep 9, 2016 | Næsby(away) | 2-3 | 2nd Division - Group 2 |
| Sep 3, 2016 | Marienlyst(home) | 0-2 | 2nd Division - Group 2 |
| Aug 26, 2016 | Kolding IF(away) | 1-3 | 2nd Division - Group 2 |
| Aug 19, 2016 | Dalum(home) | 1-3 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Marienlyst(home) | 0-1 | 2nd Division - Group 2 |
| Sep 10, 2016 | Middelfart(home) | 1-2 | 2nd Division - Group 2 |
| Sep 4, 2016 | Greve(away) | 0-3 | 2nd Division - Group 2 |
| Aug 27, 2016 | Dalum(away) | 2-2 | 2nd Division - Group 2 |
| Aug 20, 2016 | Kolding IF(home) | 4-2 | 2nd Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Svendborg win(s), 1 draw(s), 0 Sydvest win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2016 | Sydvest 2-2 Svendborg | 2nd Division - Group 2 |
How many goals should we expect?
Svendborg score 0.9 and concede 2.4 goals per match over their last 15; Sydvest score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Svendborg | 0.9 | 2.4 | 1 | 9/15 | 11/15 |
| Sydvest | 2.1 | 1.5 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Sydvest | 17 | 5 | 3 | 9 | 22 | 34 | 18 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy