Minija vs Šilas: result 1-2 and analysis
1 LygaRegular Season - 1Kick-off on March 20, 2021 at 12:00 PM (UTC)Kretingos dirbtinės dangos aikštė, Kretinga
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What was the result of Minija vs Šilas?
Šilas won 1-2 on March 20, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minija have 6 wins, 1 draw and 8 defeats; Šilas have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Žalgiris II(home) | 1-4 | 1 Lyga |
| Oct 18, 2020 | Trakai II(away) | 5-1 | 1 Lyga |
| Oct 3, 2020 | Atmosfera(away) | 4-0 | 1 Lyga |
| Sep 25, 2020 | Kauno Žalgiris II(home) | 2-1 | 1 Lyga |
| Sep 19, 2020 | BFA(home) | 2-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2020 | BFA(home) | 2-3 | Cup |
| Jun 18, 2020 | Neptūną Klaipėda(home) | 5-1 | Cup |
| Oct 23, 2016 | Banga(home) | 2-1 | 1 Lyga |
| Oct 16, 2016 | Lokomotyvas Radviliškis(home) | 7-0 | 1 Lyga |
| Oct 9, 2016 | Hegelmann Litauen(home) | 1-0 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 1 Minija win, 0 draws, 3 Šilas wins.
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2016 | Šilas 8-0 Minija | 1 Lyga |
| 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?
Minija score 1.9 and concede 2.1 goals per match over their last 15; Šilas score 3.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minija | 1.9 | 2.1 | 4 | 7/15 | 13/15 |
| Šilas | 3.1 | 0.9 | 6 | 7/15 | 9/15 |
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