Jonava vs MRU: result 0-3 and analysis
1 LygaRegular Season - 23Kick-off on August 19, 2014 at 03:30 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs MRU?
MRU won 0-3 on August 19, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 6 wins, 5 draws and 4 defeats; MRU have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2014 | Tauras(away) | 0-1 | 1 Lyga |
| Aug 10, 2014 | Nevėžis(home) | 4-4 | 1 Lyga |
| Aug 6, 2014 | Šilas(away) | 0-0 | 1 Lyga |
| Aug 2, 2014 | Kauno Žalgiris(home) | 2-1 | 1 Lyga |
| Jul 11, 2014 | Utenis Utena(away) | 0-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2014 | Lokomotyvas Radviliškis(home) | 4-1 | 1 Lyga |
| Aug 10, 2014 | Žalgirietis(away) | 4-1 | 1 Lyga |
| Aug 6, 2014 | Šilutė(home) | 2-0 | 1 Lyga |
| Jul 13, 2014 | Baltija(away) | 6-0 | 1 Lyga |
| Jul 6, 2014 | Palanga(home) | 2-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Jonava wins, 0 draws, 1 MRU win.
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2014 | MRU 4-0 Jonava | 1 Lyga |
How many goals should we expect?
Jonava score 1.9 and concede 1.5 goals per match over their last 15; MRU score 2.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 1.9 | 1.5 | 6 | 6/15 | 10/15 |
| MRU | 2.3 | 0.7 | 8 | 7/15 | 10/15 |
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 MRU?
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