Šilutė vs Dainava: result 0-2 and analysis
1 LygaRegular Season - 22Kick-off on August 27, 2016 at 02:00 PM (UTC)Šilutės miesto stadionas, Šilutė
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What was the result of Šilutė vs Dainava?
Dainava won 0-2 on August 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 4 wins, 1 draw and 10 defeats; Dainava have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2016 | Žalgiris II(away) | 1-3 | 1 Lyga |
| Aug 10, 2016 | Kaunas(home) | 3-1 | 1 Lyga |
| Jul 31, 2016 | Trakai II(home) | 1-3 | 1 Lyga |
| Jul 6, 2016 | Panevėžys(home) | 1-1 | 1 Lyga |
| Jul 2, 2016 | Kražantė(home) | 2-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2016 | Palanga(home) | 2-2 | 1 Lyga |
| Aug 13, 2016 | Kaunas(away) | 5-0 | 1 Lyga |
| Aug 9, 2016 | Trakai II(away) | 2-1 | 1 Lyga |
| Aug 5, 2016 | Vilniaus Vytis(away) | 0-3 | 1 Lyga |
| Jul 31, 2016 | Žalgiris II(home) | 2-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Šilutė wins, 0 draws, 1 Dainava win.
| Date | Score | Competition |
|---|---|---|
| May 7, 2016 | Dainava 7-0 Šilutė | 1 Lyga |
How many goals should we expect?
Šilutė score 1.1 and concede 2.6 goals per match over their last 15; Dainava score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 1.1 | 2.6 | 2 | 8/15 | 9/15 |
| Dainava | 2.0 | 1.3 | 4 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Dainava | 26 | 11 | 8 | 7 | 37 | 27 | 41 |
A question about Šilutė vs Dainava?
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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