Jonava vs Šiauliai: result 1-2 and analysis
1 LygaRegular Season - 6Kick-off on May 4, 2019 at 11:00 AM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs Šiauliai?
Šiauliai won 1-2 on May 4, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 3 wins, 4 draws and 8 defeats; Šiauliai have 4, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Džiugas Telšiai(away) | 0-0 | 1 Lyga |
| Apr 7, 2019 | BFA(away) | 2-0 | 1 Lyga |
| Mar 31, 2019 | Kupiškis(away) | 0-0 | 1 Lyga |
| Mar 25, 2019 | Atmosfera(away) | 3-0 | 1 Lyga |
| Oct 21, 2018 | Suduva Marijampole(home) | 1-2 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Žalgiris II(home) | 4-0 | 1 Lyga |
| Apr 5, 2019 | Hegelmann Litauen(away) | 5-0 | 1 Lyga |
| Mar 30, 2019 | Banga(away) | 0-1 | 1 Lyga |
| Nov 28, 2015 | Granitas Klaipėda(home) | 3-0 | A Lyga |
| Nov 22, 2015 | Utenis Utena(away) | 2-3 | A Lyga |
How many goals should we expect?
Jonava score 0.9 and concede 1.7 goals per match over their last 15; Šiauliai score 1.7 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 0.9 | 1.7 | 4 | 7/15 | 8/15 |
| Šiauliai | 1.7 | 2.5 | 4 | 7/15 | 13/15 |
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 Šiauliai?
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