MRU vs Žalgiris II: result 0-6 and analysis
1 LygaRegular Season - 26Kick-off on September 9, 2015 at 04:30 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of MRU vs Žalgiris II?
Žalgiris II won 0-6 on September 9, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MRU have 2 wins, 4 draws and 9 defeats; Žalgiris II have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2015 | Šilas(away) | 0-1 | 1 Lyga |
| Aug 19, 2015 | Tauras(away) | 1-2 | 1 Lyga |
| Aug 15, 2015 | Nevėžis(away) | 0-5 | 1 Lyga |
| Aug 12, 2015 | Džiugas Telšiai(home) | 1-1 | 1 Lyga |
| Aug 8, 2015 | Lokomotyvas Radviliškis(away) | 1-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2015 | FK Panevezys(home) | 6-2 | 1 Lyga |
| Aug 23, 2015 | Nevėžis(home) | 5-1 | 1 Lyga |
| Aug 19, 2015 | Kruoja II(away) | 3-0 | 1 Lyga |
| Aug 15, 2015 | Jonava(away) | 1-3 | 1 Lyga |
| Aug 12, 2015 | Kaunas(away) | 4-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 MRU wins, 0 draws, 1 Žalgiris II win.
| Date | Score | Competition |
|---|---|---|
| May 24, 2015 | Žalgiris II 4-0 MRU | 1 Lyga |
How many goals should we expect?
MRU score 1.0 and concede 1.9 goals per match over their last 15; Žalgiris II score 3.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MRU | 1.0 | 1.9 | 2 | 10/15 | 7/15 |
| Žalgiris II | 3.6 | 1.1 | 6 | 9/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
A question about MRU vs Žalgiris II?
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