Nevėžis vs MRU: result 2-3 and analysis
1 LygaPromotion Group - 1Kick-off on September 13, 2014 at 11:00 AM (UTC)Kedainiu miesto stadionas
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What was the result of Nevėžis vs MRU?
MRU won 2-3 on September 13, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nevėžis have 5 wins, 4 draws and 6 defeats; MRU have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | MRU(home) | 0-3 | 1 Lyga |
| Aug 30, 2014 | Tauras(home) | 1-0 | 1 Lyga |
| Aug 27, 2014 | Stumbras(home) | 1-2 | 1 Lyga |
| Aug 24, 2014 | Utenis Utena(away) | 2-5 | 1 Lyga |
| Aug 19, 2014 | Šilas(away) | 1-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Nevėžis(away) | 3-0 | 1 Lyga |
| Aug 31, 2014 | Šilas(away) | 4-4 | 1 Lyga |
| Aug 23, 2014 | Kauno Žalgiris(home) | 2-2 | 1 Lyga |
| Aug 19, 2014 | Jonava(away) | 3-0 | 1 Lyga |
| Aug 15, 2014 | Lokomotyvas Radviliškis(home) | 4-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Nevėžis win, 0 draws, 1 MRU win.
| Date | Score | Competition |
|---|---|---|
| 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 1.9 and concede 1.7 goals per match over their last 15; MRU score 2.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 1.9 | 1.7 | 4 | 9/15 | 9/15 |
| MRU | 2.7 | 0.9 | 8 | 7/15 | 11/15 |
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