Jonava vs FA Šiauliai II: result 0-2 and analysis
1 LygaRegular Season - 5Kick-off on April 7, 2023 at 02:00 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
Full time
What was the result of Jonava vs FA Šiauliai II?
FA Šiauliai II won 0-2 on April 7, 2023.
Goalscorers
- 40′?FA Šiauliai II
- 75′?FA Šiauliai II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 0 wins, 1 draw and 14 defeats; FA Šiauliai II have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Minija(away) | 0-3 | 1 Lyga |
| Mar 25, 2023 | Trakai II(home) | 0-2 | 1 Lyga |
| Mar 18, 2023 | TransINVEST Vilnius(away) | 1-2 | 1 Lyga |
| Mar 12, 2023 | Kauno Žalgiris II(home) | 0-2 | 1 Lyga |
| Nov 23, 2022 | Panevėžys(away) | 1-2 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2023 | Neptūną Klaipėda(home) | 1-1 | 1 Lyga |
| Mar 24, 2023 | Nevėžis(away) | 0-1 | 1 Lyga |
| Mar 20, 2023 | Be1 NFA(home) | 2-1 | 1 Lyga |
| Mar 12, 2023 | Šilas(home) | 2-3 | 1 Lyga |
| Nov 12, 2022 | Dainava(home) | 0-1 | 1 Lyga |
How many goals should we expect?
Jonava score 0.3 and concede 2.3 goals per match over their last 15; FA Šiauliai II score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 0.3 | 2.3 | 0 | 5/15 | 8/15 |
| FA Šiauliai II | 1.1 | 1.5 | 1 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Jonava sit 10th in 1 Lyga (27 points from 26 matches) and FA Šiauliai II sit 15th (18 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Jonava | 26 | 7 | 6 | 13 | 28 | 35 | 27 |
| 15 | FA Šiauliai II | 26 | 4 | 6 | 16 | 30 | 59 | 18 |
A question about Jonava vs FA Šiauliai II?
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