Jonava vs Polonija: result 2-1 and analysis
1 LygaRegular Season - 8Kick-off on June 1, 2013 at 12:30 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs Polonija?
Jonava won 2-1 on June 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 10 wins, 1 draw and 4 defeats; Polonija have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2013 | Palanga(away) | 6-1 | 1 Lyga |
| May 22, 2013 | Šilas(away) | 0-1 | 1 Lyga |
| May 18, 2013 | Šilutė(away) | 2-0 | 1 Lyga |
| May 11, 2013 | Lokomotyvas Radviliškis(away) | 1-2 | 1 Lyga |
| Apr 13, 2013 | Kauno Žalgiris(home) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2013 | FK Trakai(away) | 1-0 | 1 Lyga |
| May 13, 2013 | Baltija(home) | 0-0 | 1 Lyga |
| May 4, 2013 | Šilutė(home) | 1-0 | 1 Lyga |
| Apr 27, 2013 | Palanga(home) | 2-2 | 1 Lyga |
| Apr 20, 2013 | Lokomotyvas Radviliškis(home) | 0-5 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 3 Jonava wins, 0 draws, 0 Polonija wins.
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2012 | Polonija 0-2 Jonava | 1 Lyga |
| Aug 28, 2012 | Jonava 4-1 Polonija | 1 Lyga |
| Apr 21, 2012 | Polonija 0-1 Jonava | 1 Lyga |
How many goals should we expect?
Jonava score 2.5 and concede 0.8 goals per match over their last 15; Polonija score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 2.5 | 0.8 | 5 | 7/15 | 8/15 |
| Polonija | 1.2 | 1.7 | 4 | 6/15 | 9/15 |
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 Polonija?
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