MRU vs Jonava: result 2-0 and analysis
1 LygaRegular Season - 2Kick-off on April 4, 2015 at 12:00 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of MRU vs Jonava?
MRU won 2-0 on April 4, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MRU have 9 wins, 5 draws and 1 defeat; Jonava have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2015 | Auska(home) | 0-0 | 1 Lyga |
| Nov 2, 2014 | Šilas(home) | 5-1 | 1 Lyga |
| Oct 18, 2014 | Kauno Žalgiris(away) | 0-1 | 1 Lyga |
| Oct 13, 2014 | Jonava(home) | 2-0 | 1 Lyga |
| Sep 27, 2014 | Utenis Utena(away) | 0-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2015 | Kražantė(home) | 5-1 | 1 Lyga |
| Nov 2, 2014 | Kauno Žalgiris(away) | 0-1 | 1 Lyga |
| Oct 19, 2014 | Žalgirietis(home) | 2-3 | 1 Lyga |
| Oct 13, 2014 | MRU(away) | 0-2 | 1 Lyga |
| Oct 4, 2014 | Nevėžis(home) | 4-0 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 3 MRU wins, 0 draws, 0 Jonava wins.
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2014 | MRU 2-0 Jonava | 1 Lyga |
| Aug 19, 2014 | Jonava 0-3 MRU | 1 Lyga |
| Jun 3, 2014 | MRU 4-0 Jonava | 1 Lyga |
How many goals should we expect?
MRU score 2.3 and concede 0.9 goals per match over their last 15; Jonava score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MRU | 2.3 | 0.9 | 7 | 7/15 | 8/15 |
| Jonava | 1.8 | 1.5 | 4 | 7/15 | 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 MRU 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