Šilas vs Minija: result 8-0 and analysis
1 LygaRegular Season - 22Kick-off on August 27, 2016 at 01:00 PM (UTC)Nacionalinės futbolo akademijos stadionas, Kaunas
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What was the result of Šilas vs Minija?
Šilas won 8-0 on August 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 10 wins, 1 draw and 4 defeats; Minija have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 9, 2016 | Žalgiris II(home) | 0-1 | 1 Lyga |
| Aug 5, 2016 | Džiugas Telšiai(home) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2016 | Žalgiris II(away) | 1-2 | 1 Lyga |
| Aug 14, 2016 | Kražantė(away) | 0-4 | 1 Lyga |
| Aug 10, 2016 | Banga(home) | 0-6 | 1 Lyga |
| Aug 6, 2016 | Trakai II(home) | 2-1 | 1 Lyga |
| Jul 30, 2016 | Panevėžys(home) | 2-4 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Šilas wins, 0 draws, 1 Minija win.
| Date | Score | Competition |
|---|---|---|
| May 7, 2016 | Minija 1-7 Šilas | 1 Lyga |
| Oct 31, 2015 | Šilas 4-0 Minija | 1 Lyga |
| Jul 2, 2015 | Minija 2-1 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 2.6 and concede 1.1 goals per match over their last 15; Minija score 1.0 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.6 | 1.1 | 5 | 7/15 | 9/15 |
| Minija | 1.0 | 3.4 | 0 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Minija | 25 | 22 | 1 | 2 | 68 | 13 | 67 |
A question about Šilas vs Minija?
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