Dainava vs Jonava: result 4-1 and analysis
1 LygaRegular Season - 11Kick-off on June 12, 2019 at 04:00 PM (UTC)Marijampolės futbolo arenos maniežas, Marijampolė
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What was the result of Dainava vs Jonava?
Dainava won 4-1 on June 12, 2019.
Goalscorers
- 5′?Dainava
- 49′?Jonava
- 54′?Dainava
- 63′?Dainava (pen.)
- 89′?Dainava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 9 wins, 2 draws and 4 defeats; Jonava have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2019 | Džiugas Telšiai(away) | 0-3 | 1 Lyga |
| May 20, 2019 | Minija(home) | 0-1 | 1 Lyga |
| May 16, 2019 | Žalgiris II(home) | 0-1 | 1 Lyga |
| May 8, 2019 | Šiauliai(away) | 3-1 | 1 Lyga |
| May 5, 2019 | Pakruojis(away) | 5-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2019 | Hegelmann Litauen(home) | 1-1 | 1 Lyga |
| May 20, 2019 | Žalgiris II(home) | 6-0 | 1 Lyga |
| May 15, 2019 | Pakruojis(away) | 2-1 | 1 Lyga |
| May 11, 2019 | Minija(away) | 2-0 | 1 Lyga |
| May 4, 2019 | Šiauliai(home) | 1-2 | 1 Lyga |
How many goals should we expect?
Dainava score 2.3 and concede 1.1 goals per match over their last 15; Jonava score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.3 | 1.1 | 3 | 9/15 | 12/15 |
| Jonava | 1.4 | 1.3 | 6 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Dainava sit 8th in 1 Lyga (41 points from 26 matches) and Jonava sit 10th (27 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Dainava | 26 | 11 | 8 | 7 | 37 | 27 | 41 |
| 10 | Jonava | 26 | 7 | 6 | 13 | 28 | 35 | 27 |
A question about Dainava 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