Kražantė vs Žalgiris II: result 0-5 and analysis
1 LygaRegular Season - 34Kick-off on October 31, 2015 at 11:00 AM (UTC)Kelmės miestas stadionas, Kelmė
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What was the result of Kražantė vs Žalgiris II?
Žalgiris II won 0-5 on October 31, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kražantė have 7 wins, 0 draws and 8 defeats; Žalgiris II have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2015 | Nevėžis(away) | 4-5 | 1 Lyga |
| Oct 18, 2015 | Kruoja II(home) | 3-0 | 1 Lyga |
| Oct 10, 2015 | Minija(away) | 5-3 | 1 Lyga |
| Oct 4, 2015 | Banga(away) | 0-3 | 1 Lyga |
| Sep 26, 2015 | Tauras(home) | 4-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2015 | Auska(home) | 2-0 | 1 Lyga |
| Oct 21, 2015 | Lokomotyvas Radviliškis(home) | 4-1 | 1 Lyga |
| Oct 7, 2015 | Tauras(home) | 12-0 | 1 Lyga |
| Oct 3, 2015 | Džiugas Telšiai(away) | 2-1 | 1 Lyga |
| Sep 26, 2015 | Banga(home) | 1-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Kražantė wins, 0 draws, 1 Žalgiris II win.
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2015 | Žalgiris II 6-0 Kražantė | 1 Lyga |
Last archived meeting: Žalgiris II vs Kražantė on Jul 3, 2015
How many goals should we expect?
Kražantė score 1.9 and concede 2.7 goals per match over their last 15; Žalgiris II score 3.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kražantė | 1.9 | 2.7 | 4 | 10/15 | 12/15 |
| Žalgiris II | 3.5 | 0.7 | 8 | 7/15 | 12/15 |
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 Kražantė vs Žalgiris 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