Žalgiris II vs Šilas: result 1-3 and analysis
1 LygaRegular Season - 4Kick-off on April 15, 2016 at 03:00 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Žalgiris II vs Šilas?
Šilas won 1-3 on April 15, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žalgiris II have 12 wins, 2 draws and 1 defeat; Šilas 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 |
|---|---|---|---|
| Apr 9, 2016 | Kaunas(home) | 5-1 | 1 Lyga |
| Apr 3, 2016 | Dainava(home) | 1-1 | 1 Lyga |
| Mar 25, 2016 | Vilniaus Vytis(away) | 2-6 | 1 Lyga |
| Oct 31, 2015 | Kražantė(away) | 5-0 | 1 Lyga |
| Oct 24, 2015 | Auska(home) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Džiugas Telšiai(away) | 5-0 | 1 Lyga |
| Apr 3, 2016 | Kaunas(away) | 6-1 | 1 Lyga |
| Mar 26, 2016 | Kražantė(away) | 5-0 | 1 Lyga |
| Oct 31, 2015 | Minija(home) | 4-0 | 1 Lyga |
| Oct 24, 2015 | Trakai II(home) | 4-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Žalgiris II win, 0 draws, 1 Šilas win.
| Date | Score | Competition |
|---|---|---|
| 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?
Žalgiris II score 3.9 and concede 1.0 goals per match over their last 15; Šilas score 3.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgiris II | 3.9 | 1.0 | 7 | 8/15 | 12/15 |
| Šilas | 3.2 | 0.9 | 8 | 6/15 | 11/15 |
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 Šilas?
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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