Žalgiris II vs Kruoja II: result 3-0 and analysis
1 LygaRegular Season - 27Kick-off on September 13, 2015 at 10:00 AM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Žalgiris II vs Kruoja II?
Žalgiris II won 3-0 on September 13, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žalgiris II have 12 wins, 1 draw and 2 defeats; Kruoja II have 0, 0 and 15.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2015 | MRU(away) | 6-0 | 1 Lyga |
| Aug 29, 2015 | FK Panevezys(home) | 6-2 | 1 Lyga |
| Aug 23, 2015 | Nevėžis(home) | 5-1 | 1 Lyga |
| Aug 19, 2015 | Kruoja II(away) | 3-0 | 1 Lyga |
| Aug 15, 2015 | Jonava(away) | 1-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2015 | Tauras(away) | 0-3 | 1 Lyga |
| Aug 30, 2015 | Šilutė(home) | 0-3 | 1 Lyga |
| Aug 22, 2015 | Kaunas(home) | 0-3 | 1 Lyga |
| Aug 19, 2015 | Žalgiris II(home) | 0-3 | 1 Lyga |
| Aug 14, 2015 | Palanga(away) | 0-9 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Žalgiris II win, 0 draws, 0 Kruoja II wins.
| Date | Score | Competition |
|---|---|---|
| Aug 19, 2015 | Kruoja II 0-3 Žalgiris II | 1 Lyga |
Last archived meeting: Kruoja II vs Žalgiris II on Aug 19, 2015
How many goals should we expect?
Žalgiris II score 3.8 and concede 1.1 goals per match over their last 15; Kruoja II score 0.2 and concede 4.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgiris II | 3.8 | 1.1 | 6 | 9/15 | 14/15 |
| Kruoja II | 0.2 | 4.0 | 0 | 3/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
A question about Žalgiris II vs Kruoja II?
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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