Dainava vs Vilniaus Vytis: result 2-1 and analysis
1 LygaRegular Season - 12Kick-off on June 16, 2017 at 04:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
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What was the result of Dainava vs Vilniaus Vytis?
Dainava won 2-1 on June 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 7 wins, 2 draws and 6 defeats; Vilniaus Vytis have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2017 | Žalgiris II(home) | 2-0 | 1 Lyga |
| May 31, 2017 | Banga(away) | 1-2 | 1 Lyga |
| May 20, 2017 | Utenis II(away) | 11-2 | 1 Lyga |
| May 12, 2017 | Pakruojis(home) | 3-0 | 1 Lyga |
| May 5, 2017 | Stumbras II(home) | 1-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2017 | Palanga(away) | 1-2 | 1 Lyga |
| Jun 4, 2017 | Panevėžys(away) | 1-1 | 1 Lyga |
| May 30, 2017 | Tauras(home) | 2-0 | 1 Lyga |
| May 23, 2017 | Stumbras II(away) | 1-0 | 1 Lyga |
| May 18, 2017 | Džiugas Telšiai(home) | 4-3 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Dainava win(s), 0 draw(s), 2 Vilniaus Vytis win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2016 | Vilniaus Vytis 3-0 Dainava | 1 Lyga |
| Apr 10, 2016 | Dainava 0-1 Vilniaus Vytis | 1 Lyga |
Last archived meeting: Vilniaus Vytis vs Dainava on Aug 5, 2016
How many goals should we expect?
Dainava score 2.7 and concede 1.7 goals per match over their last 15; Vilniaus Vytis score 3.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.7 | 1.7 | 3 | 11/15 | 12/15 |
| Vilniaus Vytis | 3.5 | 0.9 | 7 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Dainava | 20 | 10 | 6 | 4 | 33 | 19 | 36 |
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