Babrungas vs Šiauliai: result 0-4 and analysis
1 LygaRegular Season - 12Kick-off on June 27, 2021 at 11:00 AM (UTC)Plungės dirbtinės dangos stadionas, Plungė
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What was the result of Babrungas vs Šiauliai?
Šiauliai won 0-4 on June 27, 2021.
Goalscorers
- 45′?Šiauliai
- 54′?Šiauliai
- 58′Sergej AmirzianŠiauliai
- 75′J. PetravičiusŠiauliai (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Babrungas have 9 wins, 2 draws and 4 defeats; Šiauliai have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2021 | Neptūną Klaipėda(away) | 1-1 | Cup |
| Jun 17, 2021 | Trakai II(home) | 2-0 | 1 Lyga |
| Jun 13, 2021 | Panevėžys II(home) | 3-2 | 1 Lyga |
| May 29, 2021 | Šilas(away) | 1-5 | 1 Lyga |
| May 22, 2021 | Sveikata(away) | 3-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2021 | Saned Joniškis(away) | 3-1 | Cup |
| Jun 19, 2021 | Panevėžys II(away) | 1-2 | 1 Lyga |
| Jun 12, 2021 | Žalgiris II(home) | 5-0 | 1 Lyga |
| May 22, 2021 | Panerys Vilnius(away) | 2-1 | Cup |
| May 16, 2021 | Kauno Žalgiris II(away) | 2-0 | 1 Lyga |
How many goals should we expect?
Babrungas score 2.2 and concede 1.6 goals per match over their last 15; Šiauliai score 2.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Babrungas | 2.2 | 1.6 | 4 | 11/15 | 11/15 |
| Šiauliai | 2.7 | 0.8 | 6 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Babrungas | 26 | 20 | 4 | 2 | 45 | 11 | 64 |
A question about Babrungas vs Šiauliai?
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