Šilas vs Dainava: result 6-0 and analysis
1 LygaRegular Season - 24Kick-off on September 10, 2016 at 11:00 AM (UTC)Prienų stadionas, Prienai
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What was the result of Šilas vs Dainava?
Šilas won 6-0 on September 10, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 11 wins, 0 draws and 4 defeats; Dainava have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Panevėžys(home) | 3-1 | 1 Lyga |
| Aug 27, 2016 | Minija(home) | 8-0 | 1 Lyga |
| Aug 24, 2016 | Kražantė(home) | 5-1 | 1 Lyga |
| Aug 19, 2016 | Vilniaus Vytis(home) | 0-2 | 1 Lyga |
| Aug 12, 2016 | Trakai II(home) | 5-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Kražantė(home) | 0-0 | 1 Lyga |
| Aug 27, 2016 | Šilutė(away) | 2-0 | 1 Lyga |
| 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 |
What does the head-to-head say?
In the last meeting: 1 Šilas win, 0 draws, 0 Dainava wins.
| Date | Score | Competition |
|---|---|---|
| May 21, 2016 | Dainava 1-2 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 2.9 and concede 1.1 goals per match over their last 15; Dainava score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.9 | 1.1 | 5 | 7/15 | 10/15 |
| Dainava | 1.5 | 1.3 | 5 | 7/15 | 10/15 |
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 Šilas vs Dainava?
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