Ljungskile SK vs Varbergs BoIS FC: result 0-1 and analysis
SuperettanRegular Season - 14Kick-off on June 27, 2016 at 05:30 PM (UTC)Uddevalla Arena, Ljungskile
Full time
What was the result of Ljungskile SK vs Varbergs BoIS FC?
Varbergs BoIS FC won 0-1 on June 27, 2016.
Goalscorers
- 2′T. BoakyeVarbergs BoIS FC
What is the recent form of both teams?
Over their last 13 matches in all competitions, Ljungskile SK have 2 wins, 6 draws and 5 defeats; Varbergs BoIS FC have 6, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2016 | Sirius(away) | 1-3 | Superettan |
| Jun 12, 2016 | Assyriska FF(home) | 1-1 | Superettan |
| Jun 4, 2016 | Degerfors IF(away) | 0-0 | Superettan |
| May 28, 2016 | Angelholms FF(home) | 2-2 | Superettan |
| May 21, 2016 | Trelleborg(away) | 0-4 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Gais(home) | 1-0 | Superettan |
| Jun 11, 2016 | Degerfors IF(home) | 2-1 | Superettan |
| Jun 4, 2016 | Angelholms FF(away) | 2-0 | Superettan |
| May 28, 2016 | Sirius(home) | 1-0 | Superettan |
| May 22, 2016 | Assyriska FF(away) | 1-1 | Superettan |
How many goals should we expect?
Ljungskile SK score 0.9 and concede 1.4 goals per match over their last 13; Varbergs BoIS FC score 1.2 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ljungskile SK | 0.9 | 1.4 | 3 | 6/13 | 5/13 |
| Varbergs BoIS FC | 1.2 | 1.0 | 4 | 6/13 | 4/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Ljungskile SK sit 11th in Superettan (23 points from 19 matches) and Varbergs BoIS FC sit 3rd (34 points from 19 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Varbergs BoIS FC | 19 | 10 | 4 | 5 | 34 | 24 | 34 |
| 11 | Ljungskile SK | 19 | 6 | 5 | 8 | 27 | 27 | 23 |
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