Kaunas vs Žalgiris II: result 0-7 and analysis
1 LygaRegular Season - 18Kick-off on August 6, 2016 at 02:00 PM (UTC)Nacionalinės futbolo akademijos stadionas, Kaunas
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What was the result of Kaunas vs Žalgiris II?
Žalgiris II won 0-7 on August 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaunas have 2 wins, 1 draws and 12 defeats; Žalgiris II have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2016 | Šilas(away) | 0-4 | 1 Lyga |
| Jul 6, 2016 | Palanga(away) | 0-6 | 1 Lyga |
| Jul 2, 2016 | Džiugas Telšiai(home) | 0-4 | 1 Lyga |
| Jun 28, 2016 | Nevėžis(away) | 1-7 | 1 Lyga |
| Jun 24, 2016 | Banga(away) | 0-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2016 | Dainava(away) | 1-2 | 1 Lyga |
| Jul 1, 2016 | Palanga(away) | 1-6 | 1 Lyga |
| Jun 25, 2016 | Kražantė(home) | 3-0 | 1 Lyga |
| Jun 18, 2016 | Banga(home) | 0-5 | 1 Lyga |
| Jun 12, 2016 | Trakai II(away) | 2-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 Kaunas win(s), 0 draw(s), 3 Žalgiris II win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2016 | Žalgiris II 5-1 Kaunas | 1 Lyga |
| Aug 12, 2015 | Kaunas 0-4 Žalgiris II | 1 Lyga |
| Apr 25, 2015 | Žalgiris II 2-0 Kaunas | 1 Lyga |
How many goals should we expect?
Kaunas score 0.6 and concede 3.8 goals per match over their last 15; Žalgiris II score 2.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaunas | 0.6 | 3.8 | 2 | 5/15 | 13/15 |
| Žalgiris II | 2.3 | 1.9 | 4 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Žalgiris II | 20 | 9 | 4 | 7 | 31 | 28 | 31 |
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