BFA vs Pakruojis: result 9-0 and analysis
1 LygaRegular Season - 30Kick-off on October 27, 2019 at 10:00 AM (UTC)BFA Maniežas, Vilnius
Full time
What was the result of BFA vs Pakruojis?
BFA won 9-0 on October 27, 2019.
Goalscorers
- 34′?BFA
- 40′?BFA
- 45′?BFA (pen.)
- 48′?BFA
- 50′?BFA
- 68′?BFA
- 70′?BFA
- 72′?BFA
- 75′?BFA
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; Pakruojis have 0, 0 and 15.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2019 | Kupiškis(home) | 0-2 | 1 Lyga |
| Oct 20, 2019 | Šiauliai(away) | 2-5 | 1 Lyga |
| Oct 16, 2019 | Žalgiris II(away) | 1-1 | 1 Lyga |
| Oct 6, 2019 | Atmosfera(home) | 3-0 | 1 Lyga |
| Sep 27, 2019 | Minija(away) | 0-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Džiugas Telšiai(home) | 1-9 | 1 Lyga |
| Oct 16, 2019 | Vilniaus Vytis(away) | 1-15 | 1 Lyga |
| Oct 9, 2019 | Hegelmann Litauen(away) | 1-11 | 1 Lyga |
| Sep 28, 2019 | Trakai II(home) | 1-10 | 1 Lyga |
| Sep 22, 2019 | Žalgiris II(away) | 0-9 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 BFA win, 0 draws, 0 Pakruojis wins.
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2019 | Pakruojis 2-3 BFA | 1 Lyga |
How many goals should we expect?
BFA score 1.4 and concede 1.8 goals per match over their last 15; Pakruojis score 0.7 and concede 7.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BFA | 1.4 | 1.8 | 3 | 7/15 | 9/15 |
| Pakruojis | 0.7 | 7.1 | 0 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | BFA | 26 | 13 | 4 | 9 | 40 | 37 | 43 |
A question about BFA vs Pakruojis?
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