Vilniaus Vytis vs Panevėžys: result 4-2 and analysis
1 LygaRegular Season - 4Kick-off on April 15, 2018 at 11:00 AM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Vilniaus Vytis vs Panevėžys?
Vilniaus Vytis won 4-2 on April 15, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vilniaus Vytis have 8 wins, 2 draws and 5 defeats; Panevėžys have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2018 | Utenis Utena(home) | 0-3 | 1 Lyga |
| Apr 2, 2018 | NFA Kaunas(away) | 0-1 | 1 Lyga |
| Mar 28, 2018 | Stumbras II(away) | 0-0 | 1 Lyga |
| Oct 21, 2017 | Nevėžis(home) | 2-1 | 1 Lyga |
| Oct 17, 2017 | Tauras(away) | 1-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2018 | Dainava(away) | 0-1 | 1 Lyga |
| Apr 2, 2018 | Žalgiris II(home) | 1-0 | 1 Lyga |
| Mar 25, 2018 | Pakruojis(home) | 1-0 | 1 Lyga |
| Oct 21, 2017 | Dainava(home) | 1-2 | 1 Lyga |
| Oct 15, 2017 | Palanga(home) | 3-4 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 2 Vilniaus Vytis win(s), 1 draw(s), 1 Panevėžys win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2017 | Vilniaus Vytis 4-2 Panevėžys | 1 Lyga |
| Jun 4, 2017 | Panevėžys 1-1 Vilniaus Vytis | 1 Lyga |
| Aug 27, 2016 | Panevėžys 1-0 Vilniaus Vytis | 1 Lyga |
| May 6, 2016 | Vilniaus Vytis 2-0 Panevėžys | 1 Lyga |
Last archived meeting: Vilniaus Vytis vs Panevėžys on Sep 15, 2017
How many goals should we expect?
Vilniaus Vytis score 1.4 and concede 1.1 goals per match over their last 15; Panevėžys score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vilniaus Vytis | 1.4 | 1.1 | 5 | 6/15 | 9/15 |
| Panevėžys | 1.8 | 1.7 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
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