Minija vs Šilas: result 1-7 and analysis
1 LygaRegular Season - 7Kick-off on May 7, 2016 at 11:00 AM (UTC)Kretingos dirbtinės dangos aikštė, Kretinga
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What was the result of Minija vs Šilas?
Šilas won 1-7 on May 7, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minija have 1 win, 1 draw and 13 defeats; Šilas have 13, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2016 | Žalgiris II(home) | 0-3 | 1 Lyga |
| Apr 23, 2016 | Kražantė(home) | 0-1 | 1 Lyga |
| Apr 15, 2016 | Banga(away) | 0-7 | 1 Lyga |
| Apr 9, 2016 | Trakai II(away) | 1-0 | 1 Lyga |
| Apr 2, 2016 | Panevėžys(away) | 0-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2016 | Vilniaus Vytis(away) | 4-2 | 1 Lyga |
| Apr 22, 2016 | Trakai II(away) | 3-1 | 1 Lyga |
| Apr 15, 2016 | Žalgiris II(away) | 3-1 | 1 Lyga |
| Apr 9, 2016 | Džiugas Telšiai(away) | 5-0 | 1 Lyga |
| Apr 3, 2016 | Kaunas(away) | 6-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Minija win, 0 draws, 1 Šilas win.
| Date | Score | Competition |
|---|---|---|
| Oct 31, 2015 | Šilas 4-0 Minija | 1 Lyga |
| Jul 2, 2015 | Minija 2-1 Šilas | 1 Lyga |
How many goals should we expect?
Minija score 0.8 and concede 2.9 goals per match over their last 15; Šilas score 3.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minija | 0.8 | 2.9 | 1 | 6/15 | 9/15 |
| Šilas | 3.7 | 1.2 | 5 | 9/15 | 14/15 |
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 Minija 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