BFA vs Šiauliai: result 0-5 and analysis
1 LygaRegular Season - 6Kick-off on April 24, 2021 at 12:00 PM (UTC)BFA Maniežas, Vilnius
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What was the result of BFA vs Šiauliai?
Šiauliai won 0-5 on April 24, 2021.
Goalscorers
- 22′?Šiauliai
- 55′?Šiauliai
- 64′J. PetravičiusŠiauliai
- 80′Sergej AmirzianŠiauliai
- 90′?Šiauliai
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; Šiauliai have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2021 | Panevėžys II(away) | 3-6 | 1 Lyga |
| Apr 10, 2021 | Žalgiris II(home) | 4-8 | 1 Lyga |
| Apr 3, 2021 | Minija(home) | 0-1 | 1 Lyga |
| Mar 30, 2021 | Kauno Žalgiris II(home) | 4-2 | 1 Lyga |
| Mar 20, 2021 | Atmosfera(home) | 0-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2021 | Trakai II(away) | 1-0 | 1 Lyga |
| Apr 10, 2021 | Šilas(home) | 3-1 | 1 Lyga |
| Apr 3, 2021 | Banga II(home) | 1-1 | 1 Lyga |
| Mar 27, 2021 | Neptūną Klaipėda(away) | 3-0 | 1 Lyga |
| Mar 20, 2021 | Sūduva II(home) | 4-0 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 BFA win(s), 0 draw(s), 3 Šiauliai win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 13, 2020 | BFA 0-6 Šiauliai | 1 Lyga |
| Oct 20, 2019 | Šiauliai 5-2 BFA | 1 Lyga |
| Jun 30, 2019 | BFA 1-2 Šiauliai | 1 Lyga |
How many goals should we expect?
BFA score 1.5 and concede 2.9 goals per match over their last 15; Šiauliai score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BFA | 1.5 | 2.9 | 1 | 9/15 | 11/15 |
| Šiauliai | 2.3 | 0.9 | 5 | 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 | 21 | 11 | 2 | 8 | 31 | 29 | 35 |
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