Svendborg vs B 93: result 0-3 and analysis
2nd Division - Group 2Regular Season - 7Kick-off on September 26, 2015 at 01:00 PM (UTC)Høje Bøge Stadion, Svendborg
Full time
What was the result of Svendborg vs B 93?
B 93 won 0-3 on September 26, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Svendborg have 5 wins, 4 draws and 6 defeats; B 93 have 8, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2015 | B 93(away) | 1-3 | 2nd Division - Group 2 |
| Sep 12, 2015 | Fremad Amager(home) | 0-5 | 2nd Division - Group 2 |
| Sep 5, 2015 | Dalum(away) | 4-0 | 2nd Division - Group 2 |
| Sep 1, 2015 | Silkeborg(home) | 0-3 | DBU Pokalen |
| Aug 29, 2015 | Marienlyst(home) | 1-1 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2015 | Svendborg(home) | 3-1 | 2nd Division - Group 2 |
| Sep 12, 2015 | Dalum(home) | 0-2 | 2nd Division - Group 2 |
| Sep 8, 2015 | Næsby(home) | 0-1 | 2nd Division - Group 2 |
| Sep 5, 2015 | Frem(away) | 1-0 | 2nd Division - Group 2 |
| Sep 1, 2015 | Holbæk B&I(away) | 2-4 | DBU Pokalen |
What does the head-to-head say?
Across the last 1 meetings: 0 Svendborg win(s), 0 draw(s), 1 B 93 win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2015 | B 93 3-1 Svendborg | 2nd Division - Group 2 |
How many goals should we expect?
Svendborg score 1.7 and concede 2.1 goals per match over their last 15; B 93 score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Svendborg | 1.7 | 2.1 | 4 | 7/15 | 10/15 |
| B 93 | 1.5 | 1.1 | 4 | 5/15 | 6/15 |
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 | B 93 | 17 | 4 | 8 | 5 | 17 | 24 | 20 |
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