Žalgiris II vs Kražantė: result 6-0 and analysis
1 LygaRegular Season - 17Kick-off on July 3, 2015 at 04:30 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Žalgiris II vs Kražantė?
Žalgiris II won 6-0 on July 3, 2015.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Žalgiris II have 8 wins, 2 draws and 4 defeats; Kražantė have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2015 | Auska(away) | 4-1 | 1 Lyga |
| Jun 24, 2015 | Lokomotyvas Radviliškis(away) | 5-0 | 1 Lyga |
| Jun 21, 2015 | Tauras(away) | 8-2 | 1 Lyga |
| Jun 9, 2015 | Džiugas Telšiai(home) | 3-0 | 1 Lyga |
| Jun 6, 2015 | Banga(away) | 2-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | Nevėžis(home) | 0-6 | 1 Lyga |
| Jun 24, 2015 | Kruoja II(away) | 4-1 | 1 Lyga |
| Jun 20, 2015 | Minija(home) | 3-2 | 1 Lyga |
| Jun 13, 2015 | Banga(home) | 0-0 | 1 Lyga |
| Jun 6, 2015 | Tauras(away) | 2-1 | 1 Lyga |
How many goals should we expect?
Žalgiris II score 2.9 and concede 1.4 goals per match over their last 14; Kražantė score 1.4 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgiris II | 2.9 | 1.4 | 5 | 8/14 | 11/14 |
| Kražantė | 1.4 | 2.6 | 1 | 12/15 | 12/15 |
Over the last 14 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 Kražantė?
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