Panevėžys vs Vilniaus Vytis: result 4-1 and analysis
1 LygaRegular Season - 17Kick-off on August 19, 2018 at 02:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys vs Vilniaus Vytis?
Panevėžys won 4-1 on August 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 10 wins, 2 draws and 3 defeats; Vilniaus Vytis have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2018 | Dainava(home) | 1-1 | 1 Lyga |
| Aug 3, 2018 | Žalgiris II(away) | 6-0 | 1 Lyga |
| Jul 29, 2018 | Pakruojis(away) | 4-2 | 1 Lyga |
| Jun 17, 2018 | Kupiškis(away) | 6-0 | 1 Lyga |
| Jun 13, 2018 | Nevėžis(home) | 2-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2018 | Utenis Utena(away) | 0-3 | 1 Lyga |
| Aug 4, 2018 | NFA Kaunas(home) | 3-1 | 1 Lyga |
| Jun 29, 2018 | Stumbras II(home) | 3-0 | 1 Lyga |
| Jun 21, 2018 | Trakai II(home) | 5-2 | 1 Lyga |
| Jun 15, 2018 | Dainava(home) | 2-2 | 1 Lyga |
What does the head-to-head say?
Across the last 5 meetings: 1 Panevėžys win(s), 1 draw(s), 3 Vilniaus Vytis win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 15, 2018 | Vilniaus Vytis 4-2 Panevėžys | 1 Lyga |
| 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 Apr 15, 2018
How many goals should we expect?
Panevėžys score 2.9 and concede 1.1 goals per match over their last 15; Vilniaus Vytis score 2.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 2.9 | 1.1 | 5 | 8/15 | 10/15 |
| Vilniaus Vytis | 2.4 | 1.7 | 2 | 9/15 | 14/15 |
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