Jonava vs Šilas: result 0-0 and analysis
1 LygaRegular Season - 7Kick-off on May 21, 2014 at 03:30 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs Šilas?
Jonava and Šilas drew 0-0 on May 21, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 3 wins, 6 draws and 6 defeats; Šilas have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2014 | Kauno Žalgiris(away) | 2-1 | 1 Lyga |
| May 11, 2014 | Utenis Utena(home) | 0-1 | 1 Lyga |
| May 3, 2014 | Lokomotyvas Radviliškis(away) | 1-0 | 1 Lyga |
| Apr 27, 2014 | Žalgirietis(away) | 2-3 | 1 Lyga |
| Apr 19, 2014 | Šilutė(home) | 0-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2014 | Lokomotyvas Radviliškis(home) | 3-0 | 1 Lyga |
| May 12, 2014 | Žalgirietis(home) | 0-4 | 1 Lyga |
| May 4, 2014 | Šilutė(home) | 3-2 | 1 Lyga |
| Apr 19, 2014 | Baltija(away) | 4-0 | 1 Lyga |
| Apr 13, 2014 | Palanga(away) | 4-0 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 Jonava wins, 1 draw, 2 Šilas wins.
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2013 | Jonava 1-2 Šilas | 1 Lyga |
| Sep 17, 2013 | Jonava 3-3 Šilas | 1 Lyga |
| May 22, 2013 | Šilas 1-0 Jonava | 1 Lyga |
How many goals should we expect?
Jonava score 1.3 and concede 1.8 goals per match over their last 15; Šilas score 2.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 1.3 | 1.8 | 3 | 11/15 | 8/15 |
| Šilas | 2.3 | 1.5 | 6 | 6/15 | 12/15 |
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 Jonava vs Šilas?
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