Šilas vs Žalgiris II: result 1-2 and analysis
1 LygaRegular Season - 19Kick-off on July 29, 2015 at 03:00 PM (UTC)Prienų stadionas, Prienai
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What was the result of Šilas vs Žalgiris II?
Žalgiris II won 1-2 on July 29, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 10 wins, 0 draws and 5 defeats; Žalgiris II have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2015 | Kruoja II(home) | 2-1 | 1 Lyga |
| Jul 2, 2015 | Minija(away) | 1-2 | 1 Lyga |
| Jun 27, 2015 | Trakai II(away) | 0-1 | 1 Lyga |
| Jun 24, 2015 | Šilutė(away) | 3-2 | 1 Lyga |
| Jun 20, 2015 | Nevėžis(away) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2015 | Palanga(away) | 2-3 | 1 Lyga |
| Jul 7, 2015 | Trakai II(away) | 3-2 | 1 Lyga |
| Jul 3, 2015 | Kražantė(home) | 6-0 | 1 Lyga |
| Jun 28, 2015 | Auska(away) | 4-1 | 1 Lyga |
| Jun 24, 2015 | Lokomotyvas Radviliškis(away) | 5-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Šilas win, 0 draws, 0 Žalgiris II wins.
| Date | Score | Competition |
|---|---|---|
| Apr 4, 2015 | Žalgiris II 0-1 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 2.5 and concede 1.5 goals per match over their last 15; Žalgiris II score 3.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.5 | 1.5 | 3 | 10/15 | 13/15 |
| Žalgiris II | 3.2 | 1.5 | 6 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
A question about Šilas vs Žalgiris II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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