BFA vs Žalgiris II: result 5-3 and analysis
1 LygaRegular Season - 13Kick-off on June 21, 2019 at 04:00 PM (UTC)BFA Maniežas, Vilnius
Full time
What was the result of BFA vs Žalgiris II?
BFA won 5-3 on June 21, 2019.
Goalscorers
- 1′?BFA
- 20′?Žalgiris II
- 53′?BFA
- 56′?BFA
- 65′?Žalgiris II
- 81′?BFA
- 85′?Žalgiris II
- 90′?BFA
What is the recent form of both teams?
Over their last 11 matches in all competitions, BFA have 4 wins, 1 draw and 6 defeats; Žalgiris II have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2019 | Atmosfera(away) | 7-2 | 1 Lyga |
| Jun 9, 2019 | Minija(home) | 5-4 | 1 Lyga |
| Jun 1, 2019 | Banga(away) | 1-2 | 1 Lyga |
| May 19, 2019 | Vilniaus Vytis(home) | 0-0 | 1 Lyga |
| May 15, 2019 | Kupiškis(away) | 1-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2019 | Nevėžis(away) | 1-2 | 1 Lyga |
| Jun 12, 2019 | Vilniaus Vytis(home) | 5-3 | 1 Lyga |
| Jun 2, 2019 | Pakruojis(away) | 0-2 | 1 Lyga |
| May 20, 2019 | Jonava(away) | 0-6 | 1 Lyga |
| May 16, 2019 | Dainava(away) | 1-0 | 1 Lyga |
How many goals should we expect?
BFA score 1.9 and concede 2.1 goals per match over their last 11; Žalgiris II score 1.1 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BFA | 1.9 | 2.1 | 1 | 8/11 | 8/11 |
| Žalgiris II | 1.1 | 2.7 | 1 | 7/15 | 8/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
BFA sit 7th in 1 Lyga (43 points from 26 matches) and Žalgiris II sit 4th (46 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
| 7 | BFA | 26 | 13 | 4 | 9 | 40 | 37 | 43 |
A question about BFA vs Žalgiris II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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