Suduva Marijampole vs Kruoja: result 0-1 and analysis
A LygaRegular Season - 17Kick-off on June 16, 2012 at 04:00 PM (UTC)Marijampolės futbolo arenos maniežas, Marijampolė
Full time
What was the result of Suduva Marijampole vs Kruoja?
Kruoja won 0-1 on June 16, 2012.
Goalscorers
- 21′S. ZhygalovKruoja
What is the recent form of both teams?
Over their last 15 matches in all competitions, Suduva Marijampole have 9 wins, 3 draws and 3 defeats; Kruoja have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2012 | Atlantas(away) | 4-0 | A Lyga |
| May 25, 2012 | Dainava(away) | 4-2 | A Lyga |
| May 16, 2012 | FK Zalgiris Vilnius(home) | 0-0 | A Lyga |
| May 13, 2012 | Šiauliai(away) | 3-3 | A Lyga |
| May 5, 2012 | Tauras(home) | 1-0 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2012 | Vilnius(away) | 2-2 | A Lyga |
| May 27, 2012 | Banga(away) | 1-1 | A Lyga |
| May 17, 2012 | Dainava(home) | 2-0 | A Lyga |
| May 13, 2012 | FK Zalgiris Vilnius(away) | 2-0 | A Lyga |
| May 5, 2012 | Šiauliai(home) | 0-4 | A Lyga |
What does the head-to-head say?
Across the last 1 meetings: 0 Suduva Marijampole win(s), 0 draw(s), 1 Kruoja win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 21, 2012 | Kruoja 2-1 Suduva Marijampole | A Lyga |
Last archived meeting: Kruoja vs Suduva Marijampole on Apr 21, 2012
How many goals should we expect?
Suduva Marijampole score 2.3 and concede 1.1 goals per match over their last 15; Kruoja score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Suduva Marijampole | 2.3 | 1.1 | 6 | 7/15 | 10/15 |
| Kruoja | 1.3 | 0.9 | 7 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Suduva Marijampole | 23 | 11 | 9 | 3 | 33 | 17 | 42 |
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