Šilutė vs Jonava: result 0-2 and analysis
1 LygaRegular Season - 6Kick-off on May 18, 2013 at 01:00 PM (UTC)Šilutės miesto stadionas, Šilutė
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What was the result of Šilutė vs Jonava?
Jonava won 0-2 on May 18, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 2 wins, 5 draws and 8 defeats; Jonava have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | FK Trakai(home) | 0-3 | 1 Lyga |
| May 4, 2013 | Polonija(away) | 0-1 | 1 Lyga |
| Apr 28, 2013 | Baltija(home) | 1-1 | 1 Lyga |
| Apr 14, 2013 | Lokomotyvas Radviliškis(away) | 0-0 | 1 Lyga |
| Oct 27, 2012 | NFA Kaunas(away) | 0-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | Lokomotyvas Radviliškis(away) | 1-2 | 1 Lyga |
| Apr 13, 2013 | Kauno Žalgiris(home) | 0-1 | 1 Lyga |
| Oct 27, 2012 | Granitas(away) | 1-1 | 1 Lyga |
| Oct 20, 2012 | Nevėžis(home) | 0-1 | 1 Lyga |
| Oct 13, 2012 | FK Trakai(away) | 2-1 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 Šilutė wins, 2 draws, 1 Jonava win.
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2012 | Jonava 2-0 Šilutė | 1 Lyga |
| Jun 30, 2012 | Šilutė 0-0 Jonava | 1 Lyga |
| Apr 28, 2012 | Jonava 1-1 Šilutė | 1 Lyga |
How many goals should we expect?
Šilutė score 1.4 and concede 1.5 goals per match over their last 15; Jonava score 2.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 1.4 | 1.5 | 3 | 7/15 | 6/15 |
| Jonava | 2.3 | 0.7 | 6 | 7/15 | 8/15 |
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 | 26 | 7 | 6 | 13 | 28 | 35 | 27 |
A question about Šilutė vs Jonava?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy