Šilutė vs Jonava: result 1-3 and analysis
1 LygaRegular Season - 11Kick-off on June 2, 2015 at 03:00 PM (UTC)Šilutės miesto stadionas, Šilutė
Full time
What was the result of Šilutė vs Jonava?
Jonava won 1-3 on June 2, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 7 wins, 4 draws and 4 defeats; Jonava 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 |
|---|---|---|---|
| May 30, 2015 | Palanga(home) | 1-1 | 1 Lyga |
| May 23, 2015 | Kražantė(away) | 2-2 | 1 Lyga |
| May 16, 2015 | Kruoja II(home) | 3-1 | 1 Lyga |
| May 10, 2015 | Banga(away) | 1-2 | 1 Lyga |
| May 1, 2015 | Auska(home) | 1-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2015 | Minija(away) | 1-1 | 1 Lyga |
| May 24, 2015 | Auska(home) | 3-1 | 1 Lyga |
| May 16, 2015 | Banga(home) | 3-0 | 1 Lyga |
| May 12, 2015 | Šilas(home) | 4-0 | 1 Lyga |
| May 3, 2015 | Žalgiris II(away) | 2-1 | 1 Lyga |
What does the head-to-head say?
Across the last 6 meetings: 0 Šilutė win(s), 4 draw(s), 2 Jonava win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 28, 2014 | Šilutė 1-1 Jonava | 1 Lyga |
| Apr 19, 2014 | Jonava 0-0 Šilutė | 1 Lyga |
| Aug 17, 2013 | Jonava 1-1 Šilutė | 1 Lyga |
| May 18, 2013 | Šilutė 0-2 Jonava | 1 Lyga |
| Sep 15, 2012 | Jonava 2-0 Šilutė | 1 Lyga |
| Jun 30, 2012 | Šilutė 0-0 Jonava | 1 Lyga |
How many goals should we expect?
Šilutė score 2.2 and concede 1.2 goals per match over their last 15; Jonava score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 2.2 | 1.2 | 4 | 9/15 | 9/15 |
| Jonava | 2.1 | 1.1 | 4 | 8/15 | 9/15 |
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 | Jonava | 21 | 6 | 5 | 10 | 24 | 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