Jonava vs MRU: result 4-1 and analysis
1 LygaRegular Season - 19Kick-off on July 28, 2015 at 03:30 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs MRU?
Jonava won 4-1 on July 28, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 10 wins, 4 draws and 1 defeat; MRU have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2015 | Kražantė(away) | 5-1 | 1 Lyga |
| Jul 1, 2015 | Džiugas Telšiai(away) | 4-2 | 1 Lyga |
| Jun 27, 2015 | Kruoja II(home) | 6-0 | 1 Lyga |
| Jun 24, 2015 | Tauras(home) | 9-0 | 1 Lyga |
| Jun 21, 2015 | FK Panevezys(away) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2015 | Auska(away) | 1-2 | 1 Lyga |
| Jul 3, 2015 | Kruoja II(away) | 2-0 | 1 Lyga |
| Jun 28, 2015 | Banga(away) | 1-2 | 1 Lyga |
| Jun 24, 2015 | Palanga(away) | 1-1 | 1 Lyga |
| Jun 20, 2015 | Šilutė(away) | 2-0 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 0 Jonava wins, 0 draws, 4 MRU wins.
| Date | Score | Competition |
|---|---|---|
| Apr 4, 2015 | MRU 2-0 Jonava | 1 Lyga |
| 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?
Jonava score 3.1 and concede 0.7 goals per match over their last 15; MRU score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 3.1 | 0.7 | 5 | 9/15 | 10/15 |
| MRU | 1.5 | 2.0 | 2 | 9/15 | 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 MRU?
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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