Šilutė vs Žalgiris II: result 0-2 and analysis
1 LygaRegular Season - 5Kick-off on April 23, 2016 at 09:00 AM (UTC)Šilutės miesto stadionas, Šilutė
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What was the result of Šilutė vs Žalgiris II?
Žalgiris II won 0-2 on April 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 7 wins, 1 draw and 7 defeats; Žalgiris II have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2016 | Kaunas(away) | 3-0 | 1 Lyga |
| Apr 10, 2016 | Palanga(home) | 2-2 | 1 Lyga |
| Apr 2, 2016 | Trakai II(away) | 0-2 | 1 Lyga |
| Mar 26, 2016 | Panevėžys(away) | 0-1 | 1 Lyga |
| Oct 31, 2015 | Lokomotyvas Radviliškis(away) | 3-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2016 | Šilas(home) | 1-3 | 1 Lyga |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 0 Šilutė wins, 0 draws, 2 Žalgiris II wins.
| Date | Score | Competition |
|---|---|---|
| Aug 8, 2015 | Šilutė 1-2 Žalgiris II | 1 Lyga |
| Apr 19, 2015 | Žalgiris II 1-0 Šilutė | 1 Lyga |
How many goals should we expect?
Šilutė score 2.0 and concede 1.5 goals per match over their last 15; Žalgiris II score 3.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 2.0 | 1.5 | 4 | 5/15 | 8/15 |
| Žalgiris II | 3.8 | 1.2 | 6 | 9/15 | 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 Šilutė 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