Šiauliai vs Kruoja: result 2-1 and analysis
A LygaRegular Season - 2Kick-off on March 18, 2012 at 01:00 PM (UTC)Šiaulių Gytarių stadionas, Šiauliai
Full time
What was the result of Šiauliai vs Kruoja?
Šiauliai won 2-1 on March 18, 2012.
Goalscorers
- 44′M. BilykŠiauliai (o.g.)
- 53′Andrius BartkusŠiauliai
- 66′I. ZelmikasKruoja
Official lineup for Šiauliai vs Kruoja
The starting elevens fielded at kick-off.
Šiauliai
- 11A. Rimkevičius
- 14I. Kirhners
- 22S. Cesanelli
- 32R. Vėževičius
- 6Andrius Bartkus
- 8T. Eliošius
- 10Igors Kozlovs
- 5Juvenal Gomes da Silva
- 15Deivydas Lunskis
- 31L. Rimavičius
- 27Mindaugas Malinauskas
Kruoja
- 11V. Antipov
- 4V. Pocevičius
- 8A. Žulpa
- 9Donatas Petrauskas
- 24Tomas Miklinevičius
- 25M. Bilyk
- 55Konstantin Matsion
- 18Linas Savastas
- 39I. Zelmikas
- 84Alfredas Skroblas
- 16M. Eltermanis
What is the recent form of both teams?
In their last match in all competitions, Šiauliai have 1 win, 0 draws and 0 defeats; Kruoja have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2012 | Atlantas(away) | 3-0 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2012 | Tauras(home) | 1-0 | A Lyga |
How many goals should we expect?
Šiauliai score 3.0 and concede 0.0 goals per match in their last match; Kruoja score 1.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šiauliai | 3.0 | 0.0 | 1 | 0/1 | 1/1 |
| Kruoja | 1.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Šiauliai | 29 | 3 | 8 | 18 | 24 | 58 | 17 |
A question about Šiauliai vs Kruoja?
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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