Nevėžis vs MRU: result 5-0 and analysis
1 LygaRegular Season - 23Kick-off on August 15, 2015 at 12:00 PM (UTC)Kedainiu miesto stadionas
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What was the result of Nevėžis vs MRU?
Nevėžis won 5-0 on August 15, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nevėžis have 9 wins, 0 draws and 6 defeats; MRU have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2015 | Šilutė(home) | 3-1 | 1 Lyga |
| Aug 8, 2015 | Jonava(away) | 0-7 | 1 Lyga |
| Aug 2, 2015 | Palanga(away) | 2-6 | 1 Lyga |
| Jul 28, 2015 | Banga(away) | 2-0 | 1 Lyga |
| Jul 6, 2015 | Minija(away) | 0-6 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2015 | Džiugas Telšiai(home) | 1-1 | 1 Lyga |
| Aug 8, 2015 | Lokomotyvas Radviliškis(away) | 1-3 | 1 Lyga |
| Aug 1, 2015 | Kražantė(away) | 0-1 | 1 Lyga |
| Jul 28, 2015 | Jonava(away) | 1-4 | 1 Lyga |
| Jul 6, 2015 | Auska(away) | 1-2 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 1 Nevėžis win, 1 draw, 2 MRU wins.
| Date | Score | Competition |
|---|---|---|
| May 3, 2015 | MRU 1-1 Nevėžis | 1 Lyga |
| Sep 13, 2014 | Nevėžis 2-3 MRU | 1 Lyga |
| Sep 6, 2014 | Nevėžis 0-3 MRU | 1 Lyga |
| Jun 21, 2014 | MRU 1-2 Nevėžis | 1 Lyga |
How many goals should we expect?
Nevėžis score 2.3 and concede 2.0 goals per match over their last 15; MRU score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 2.3 | 2.0 | 6 | 6/15 | 11/15 |
| MRU | 0.9 | 2.1 | 2 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Nevėžis | 30 | 7 | 5 | 18 | 32 | 58 | 26 |
A question about Nevėžis 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