Šilas vs Žalgiris II: result 0-1 and analysis
1 LygaRegular Season - 19Kick-off on August 9, 2016 at 03:00 PM (UTC)Nacionalinės futbolo akademijos stadionas, Kaunas
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What was the result of Šilas vs Žalgiris II?
Žalgiris II won 0-1 on August 9, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 12 wins, 1 draws and 2 defeats; Žalgiris II have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2016 | Džiugas Telšiai(home) | 2-0 | 1 Lyga |
| Jul 29, 2016 | Kaunas(home) | 4-0 | 1 Lyga |
| Jul 1, 2016 | Banga(away) | 0-4 | 1 Lyga |
| Jun 23, 2016 | Lokomotyvas Radviliškis(away) | 6-2 | 1 Lyga |
| Jun 17, 2016 | Hegelmann Litauen(away) | 1-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | Kaunas(away) | 7-0 | 1 Lyga |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 2 Šilas win(s), 0 draw(s), 1 Žalgiris II win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 15, 2016 | Žalgiris II 1-3 Šilas | 1 Lyga |
| Jul 29, 2015 | Šilas 1-2 Žalgiris II | 1 Lyga |
| Apr 4, 2015 | Žalgiris II 0-1 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 2.9 and concede 1.0 goals per match over their last 15; Žalgiris II score 2.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.9 | 1.0 | 6 | 8/15 | 11/15 |
| Žalgiris II | 2.7 | 1.9 | 5 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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