BFA vs Šiauliai: result 1-2 and analysis
1 LygaRegular Season - 14Kick-off on June 30, 2019 at 01:00 PM (UTC)BFA Maniežas, Vilnius
Full time
What was the result of BFA vs Šiauliai?
Šiauliai won 1-2 on June 30, 2019.
Goalscorers
- 14′?Šiauliai
- 30′Donatas KonikasŠiauliai
- 42′?BFA
What is the recent form of both teams?
Over their last 12 matches in all competitions, BFA have 5 wins, 1 draw and 6 defeats; Šiauliai 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 |
|---|---|---|---|
| Jun 21, 2019 | Žalgiris II(home) | 5-3 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2019 | Trakai II(away) | 2-3 | 1 Lyga |
| Jun 15, 2019 | Džiugas Telšiai(home) | 1-0 | 1 Lyga |
| Jun 8, 2019 | Nevėžis(home) | 0-1 | 1 Lyga |
| Jun 1, 2019 | Minija(away) | 3-0 | 1 Lyga |
| May 18, 2019 | Kupiškis(home) | 2-3 | 1 Lyga |
How many goals should we expect?
BFA score 2.2 and concede 2.2 goals per match over their last 12; Šiauliai score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BFA | 2.2 | 2.2 | 1 | 9/12 | 9/12 |
| Šiauliai | 1.9 | 1.5 | 5 | 7/15 | 11/15 |
Over the last 12 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 Šiauliai?
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