Šilutė vs Jonava: result 0-0 and analysis
1 LygaRegular Season - 12Kick-off on June 30, 2012 at 12:00 PM (UTC)Šilutės miesto stadionas, Šilutė
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What was the result of Šilutė vs Jonava?
Šilutė and Jonava drew 0-0 on June 30, 2012.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Šilutė have 4 wins, 4 draws and 2 defeats; Jonava have 8, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2012 | Granitas(away) | 0-0 | 1 Lyga |
| Jun 23, 2012 | Kedainiai(home) | 2-0 | 1 Lyga |
| Jun 16, 2012 | Venta(home) | 4-1 | 1 Lyga |
| Jun 2, 2012 | Polonija(away) | 2-1 | 1 Lyga |
| May 26, 2012 | Palanga(home) | 2-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2012 | Venta(home) | 4-0 | 1 Lyga |
| Jun 16, 2012 | Palanga(home) | 4-0 | 1 Lyga |
| Jun 9, 2012 | Granitas(home) | 1-2 | 1 Lyga |
| Jun 2, 2012 | Nevėžis(home) | 1-2 | 1 Lyga |
| May 26, 2012 | FK Trakai(away) | 1-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Šilutė wins, 1 draw, 0 Jonava wins.
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2012 | Jonava 1-1 Šilutė | 1 Lyga |
How many goals should we expect?
Šilutė score 1.4 and concede 0.9 goals per match over their last 10; Jonava score 2.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 1.4 | 0.9 | 3 | 6/10 | 4/10 |
| Jonava | 2.7 | 0.9 | 5 | 6/11 | 8/11 |
Over the last 10 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