Šilutė vs Šilas: result 2-3 and analysis
1 LygaRegular Season - 15Kick-off on June 24, 2015 at 03:00 PM (UTC)Šilutės miesto stadionas, Šilutė
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What was the result of Šilutė vs Šilas?
Šilas won 2-3 on June 24, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 6 wins, 5 draws and 4 defeats; Šilas have 10, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2015 | MRU(home) | 0-2 | 1 Lyga |
| Jun 13, 2015 | Tauras(home) | 6-1 | 1 Lyga |
| Jun 7, 2015 | Minija(away) | 1-1 | 1 Lyga |
| Jun 2, 2015 | Jonava(home) | 1-3 | 1 Lyga |
| May 30, 2015 | Palanga(home) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2015 | Nevėžis(away) | 2-0 | 1 Lyga |
| Jun 11, 2015 | Kaunas(away) | 4-1 | 1 Lyga |
| Jun 6, 2015 | Auska(away) | 6-1 | 1 Lyga |
| Jun 2, 2015 | Lokomotyvas Radviliškis(away) | 3-1 | 1 Lyga |
| May 30, 2015 | Kražantė(away) | 3-2 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 1 Šilutė win, 0 draws, 3 Šilas wins.
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2014 | Šilutė 0-2 Šilas | 1 Lyga |
| May 4, 2014 | Šilas 3-2 Šilutė | 1 Lyga |
| Sep 7, 2013 | Šilas 3-0 Šilutė | 1 Lyga |
| Jun 6, 2013 | Šilutė 1-0 Šilas | 1 Lyga |
How many goals should we expect?
Šilutė score 2.1 and concede 1.3 goals per match over their last 15; Šilas score 2.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 2.1 | 1.3 | 3 | 10/15 | 8/15 |
| Šilas | 2.5 | 1.8 | 4 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Šilutė vs Šilas?
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