BFA vs Dainava: result 2-1 and analysis
1 LygaRegular Season - 4Kick-off on April 14, 2019 at 01:00 PM (UTC)BFA Maniežas, Vilnius
Full time
What was the result of BFA vs Dainava?
BFA won 2-1 on April 14, 2019.
What is the recent form of both teams?
Over their last 2 matches in all competitions, BFA have 0 wins, 0 draws and 2 defeats; Dainava have 11, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2019 | Jonava(home) | 0-2 | 1 Lyga |
| Mar 23, 2019 | Hegelmann Litauen(away) | 1-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2019 | Vilniaus Vytis(away) | 3-2 | 1 Lyga |
| Mar 31, 2019 | Atmosfera(away) | 1-1 | 1 Lyga |
| Oct 20, 2018 | Kupiškis(home) | 6-0 | 1 Lyga |
| Oct 17, 2018 | Banga(home) | 2-1 | 1 Lyga |
| Oct 13, 2018 | Vilniaus Vytis(home) | 2-1 | 1 Lyga |
How many goals should we expect?
BFA score 0.5 and concede 3.0 goals per match over their last 2; Dainava score 2.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BFA | 0.5 | 3.0 | 0 | 1/2 | 1/2 |
| Dainava | 2.5 | 0.8 | 6 | 9/15 | 10/15 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
BFA sit 7th in 1 Lyga (43 points from 26 matches) and Dainava sit 8th (41 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | BFA | 26 | 13 | 4 | 9 | 40 | 37 | 43 |
| 8 | Dainava | 26 | 11 | 8 | 7 | 37 | 27 | 41 |
A question about BFA vs Dainava?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy