Jonava vs Atlantas: result 1-2 and analysis
A LygaRegular Season - 18Kick-off on July 19, 2016 at 03:30 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs Atlantas?
Atlantas won 1-2 on July 19, 2016.
Goalscorers
- 20′V. GašpuitisAtlantas
- 73′O. VerbickasAtlantas
- 90′D. GalkevičiusJonava
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; Atlantas have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 14, 2016 | Kauno Žalgiris(home) | 3-2 | A Lyga |
| Jun 22, 2016 | Utenis Utena(away) | 1-3 | A Lyga |
| Jun 16, 2016 | Suduva Marijampole(home) | 1-1 | A Lyga |
| Jun 8, 2016 | Stumbras(home) | 2-2 | A Lyga |
| May 22, 2016 | FK Trakai(away) | 0-3 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 12, 2016 | Utenis Utena(home) | 2-0 | A Lyga |
| Jul 7, 2016 | HJK Helsinki(away) | 1-1 | UEFA Europa League |
| Jun 30, 2016 | HJK Helsinki(home) | 0-2 | UEFA Europa League |
| Jun 24, 2016 | Suduva Marijampole(away) | 3-3 | A Lyga |
| Jun 15, 2016 | Stumbras(home) | 2-0 | A Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Jonava wins, 0 draws, 2 Atlantas wins.
| Date | Score | Competition |
|---|---|---|
| May 8, 2016 | Atlantas 2-0 Jonava | A Lyga |
| Mar 20, 2016 | Jonava 0-1 Atlantas | A Lyga |
How many goals should we expect?
Jonava score 1.1 and concede 1.7 goals per match over their last 15; Atlantas score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 1.1 | 1.7 | 1 | 7/15 | 8/15 |
| Atlantas | 1.7 | 1.1 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Jonava vs Atlantas?
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