Žalgiris II vs BFA: result 1-1 and analysis
1 LygaRegular Season - 28Kick-off on October 16, 2019 at 12:00 PM (UTC)Vilniaus LFF stadionas, Vilnius
Full time
What was the result of Žalgiris II vs BFA?
Žalgiris II and BFA drew 1-1 on October 16, 2019.
Goalscorers
- 55′?BFA
- 80′?Žalgiris II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žalgiris II have 3 wins, 2 draws and 10 defeats; BFA have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2019 | Dainava(home) | 1-2 | 1 Lyga |
| Sep 27, 2019 | Vilniaus Vytis(away) | 0-3 | 1 Lyga |
| Sep 22, 2019 | Pakruojis(home) | 9-0 | 1 Lyga |
| Sep 16, 2019 | Jonava(home) | 3-2 | 1 Lyga |
| Sep 1, 2019 | Atmosfera(home) | 2-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Atmosfera(home) | 3-0 | 1 Lyga |
| Sep 27, 2019 | Minija(away) | 0-2 | 1 Lyga |
| Sep 22, 2019 | Banga(home) | 2-2 | 1 Lyga |
| Sep 14, 2019 | Vilniaus Vytis(away) | 1-3 | 1 Lyga |
| Sep 1, 2019 | Trakai II(away) | 0-2 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 0 Žalgiris II win(s), 0 draw(s), 1 BFA win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 21, 2019 | BFA 5-3 Žalgiris II | 1 Lyga |
How many goals should we expect?
Žalgiris II score 1.9 and concede 2.8 goals per match over their last 15; BFA score 2.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgiris II | 1.9 | 2.8 | 1 | 9/15 | 14/15 |
| BFA | 2.3 | 1.9 | 3 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Žalgiris II sit 8th in 1 Lyga (31 points from 20 matches) and BFA sit 7th (35 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | BFA | 21 | 11 | 2 | 8 | 31 | 29 | 35 |
| 8 | Žalgiris II | 20 | 9 | 4 | 7 | 31 | 28 | 31 |
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