Gais vs Ljungskile SK: result 0-3 and analysis
SuperettanRegular Season - 25Kick-off on September 25, 2016 at 01:00 PM (UTC)Gamla Ullevi, Göteborg
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What was the result of Gais vs Ljungskile SK?
Ljungskile SK won 0-3 on September 25, 2016.
Goalscorers
- 58′L. TornbladLjungskile SK
- 72′A. BajrovicLjungskile SK
- 88′A. SuleimanLjungskile SK
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gais have 5 wins, 8 draws and 2 defeats; Ljungskile SK have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2016 | Angelholms FF(away) | 5-1 | Superettan |
| Sep 17, 2016 | AFC Eskilstuna(home) | 1-1 | Superettan |
| Sep 9, 2016 | Trelleborg(home) | 3-3 | Superettan |
| Aug 29, 2016 | Sirius(away) | 0-0 | Superettan |
| Aug 21, 2016 | IFK Varnamo(home) | 3-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2016 | Assyriska FF(away) | 1-1 | Superettan |
| Sep 17, 2016 | Syrianska FC(home) | 1-2 | Superettan |
| Sep 11, 2016 | Angelholms FF(away) | 1-1 | Superettan |
| Aug 29, 2016 | AFC Eskilstuna(home) | 1-2 | Superettan |
| Aug 22, 2016 | Orgryte IS(away) | 1-3 | Superettan |
What does the head-to-head say?
Across the last 1 meetings: 0 Gais win(s), 0 draw(s), 1 Ljungskile SK win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 2, 2016 | Ljungskile SK 1-0 Gais | Superettan |
How many goals should we expect?
Gais score 1.8 and concede 1.1 goals per match over their last 15; Ljungskile SK score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gais | 1.8 | 1.1 | 4 | 9/15 | 8/15 |
| Ljungskile SK | 0.9 | 1.7 | 2 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Ljungskile SK | 20 | 6 | 6 | 8 | 27 | 27 | 24 |
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