Minija vs Šilutė: result 0-2 and analysis
1 LygaRegular Season - 9Kick-off on May 21, 2016 at 12:00 PM (UTC)Kretingos dirbtinės dangos aikštė, Kretinga
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What was the result of Minija vs Šilutė?
Šilutė won 0-2 on May 21, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minija have 1 win, 0 draws and 14 defeats; Šilutė have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Nevėžis(away) | 1-4 | 1 Lyga |
| May 7, 2016 | Šilas(home) | 1-7 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Banga(home) | 1-0 | 1 Lyga |
| May 7, 2016 | Dainava(away) | 0-7 | 1 Lyga |
| May 1, 2016 | Džiugas Telšiai(home) | 1-2 | 1 Lyga |
| Apr 23, 2016 | Žalgiris II(home) | 0-2 | 1 Lyga |
| Apr 17, 2016 | Kaunas(away) | 3-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Minija wins, 1 draw, 1 Šilutė win.
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2015 | Šilutė 2-0 Minija | 1 Lyga |
| Jun 7, 2015 | Minija 1-1 Šilutė | 1 Lyga |
How many goals should we expect?
Minija score 0.9 and concede 3.5 goals per match over their last 15; Šilutė score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minija | 0.9 | 3.5 | 1 | 7/15 | 11/15 |
| Šilutė | 1.5 | 2.1 | 3 | 5/15 | 8/15 |
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 Šilutė?
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