Šiauliai vs BFA: result 5-2 and analysis
1 LygaRegular Season - 29Kick-off on October 20, 2019 at 12:00 PM (UTC)Šiaulių Gytarių stadionas, Šiauliai
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What was the result of Šiauliai vs BFA?
Šiauliai won 5-2 on October 20, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šiauliai have 8 wins, 3 draws and 4 defeats; BFA have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2019 | Trakai II(home) | 2-2 | 1 Lyga |
| Oct 5, 2019 | Džiugas Telšiai(away) | 0-3 | 1 Lyga |
| Oct 2, 2019 | Atmosfera(away) | 3-1 | 1 Lyga |
| Sep 27, 2019 | Nevėžis(away) | 1-1 | 1 Lyga |
| Sep 21, 2019 | Minija(home) | 5-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 22, 2019 | Banga(home) | 2-2 | 1 Lyga |
| Sep 14, 2019 | Vilniaus Vytis(away) | 1-3 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Šiauliai win, 0 draws, 0 BFA wins.
| Date | Score | Competition |
|---|---|---|
| Jun 30, 2019 | BFA 1-2 Šiauliai | 1 Lyga |
How many goals should we expect?
Šiauliai score 2.3 and concede 1.5 goals per match over their last 15; BFA score 2.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šiauliai | 2.3 | 1.5 | 2 | 11/15 | 12/15 |
| BFA | 2.1 | 1.7 | 3 | 8/15 | 10/15 |
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 Šiauliai vs BFA?
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