Vilniaus Vytis vs Nevėžis: result 1-2 and analysis
1 LygaRegular Season - 19Kick-off on August 9, 2016 at 06:30 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Vilniaus Vytis vs Nevėžis?
Nevėžis won 1-2 on August 9, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vilniaus Vytis have 10 wins, 0 draws and 5 defeats; Nevėžis have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2016 | Dainava(home) | 3-0 | 1 Lyga |
| Jul 30, 2016 | Hegelmann Litauen(away) | 2-3 | 1 Lyga |
| Jul 1, 2016 | Trakai II(home) | 2-0 | 1 Lyga |
| Jun 24, 2016 | Minija(away) | 7-0 | 1 Lyga |
| Jun 18, 2016 | Palanga(home) | 0-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2016 | Džiugas Telšiai(away) | 2-1 | 1 Lyga |
| Jul 6, 2016 | Lokomotyvas Radviliškis(home) | 6-0 | 1 Lyga |
| Jul 2, 2016 | Hegelmann Litauen(home) | 3-0 | 1 Lyga |
| Jun 28, 2016 | Kaunas(home) | 7-1 | 1 Lyga |
| Jun 23, 2016 | Šilutė(away) | 8-0 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 1 Vilniaus Vytis win(s), 0 draw(s), 0 Nevėžis win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 16, 2016 | Nevėžis 0-1 Vilniaus Vytis | 1 Lyga |
Last archived meeting: Nevėžis vs Vilniaus Vytis on Apr 16, 2016
How many goals should we expect?
Vilniaus Vytis score 2.5 and concede 1.3 goals per match over their last 15; Nevėžis score 3.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vilniaus Vytis | 2.5 | 1.3 | 10 | 4/15 | 9/15 |
| Nevėžis | 3.5 | 1.4 | 4 | 9/15 | 12/15 |
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 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy