BFA vs Dainava: result 0-1 and analysis
1 LygaRegular Season - 4Kick-off on June 27, 2020 at 09:00 AM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of BFA vs Dainava?
Dainava won 0-1 on June 27, 2020.
Goalscorers
- 64′?Dainava
What is the recent form of both teams?
Over their last 15 matches in all competitions, BFA have 4 wins, 2 draws and 9 defeats; Dainava have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2020 | Nevėžis(away) | 1-4 | 1 Lyga |
| Jun 16, 2020 | Nevėžis(home) | 1-0 | Cup |
| Jun 13, 2020 | Šiauliai(home) | 0-6 | 1 Lyga |
| Jun 6, 2020 | Hegelmann Litauen(away) | 0-4 | 1 Lyga |
| Oct 27, 2019 | Pakruojis(home) | 9-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2020 | Trakai II(home) | 2-1 | 1 Lyga |
| Jun 17, 2020 | Aukštaitija(away) | 0-0 | Cup |
| Jun 14, 2020 | Žalgiris II(away) | 3-0 | 1 Lyga |
| Jun 6, 2020 | Atmosfera(home) | 2-1 | 1 Lyga |
| Oct 27, 2019 | Banga(home) | 0-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 BFA win(s), 0 draw(s), 1 Dainava win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 21, 2019 | Dainava 3-2 BFA | 1 Lyga |
| Apr 14, 2019 | BFA 2-1 Dainava | 1 Lyga |
How many goals should we expect?
BFA score 1.7 and concede 2.3 goals per match over their last 15; Dainava score 2.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BFA | 1.7 | 2.3 | 4 | 6/15 | 10/15 |
| Dainava | 2.4 | 0.9 | 5 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
BFA sit 7th in 1 Lyga (35 points from 21 matches) and Dainava sit 6th (36 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Dainava | 20 | 10 | 6 | 4 | 33 | 19 | 36 |
| 7 | BFA | 21 | 11 | 2 | 8 | 31 | 29 | 35 |
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