Dainava vs Minija: result 0-1 and analysis
1 LygaRegular Season - 9Kick-off on May 20, 2019 at 04:00 PM (UTC)Marijampolės futbolo arenos maniežas, Marijampolė
Full time
What was the result of Dainava vs Minija?
Minija won 0-1 on May 20, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 11 wins, 2 draws and 2 defeats; Minija have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2019 | Žalgiris II(home) | 0-1 | 1 Lyga |
| May 8, 2019 | Šiauliai(away) | 3-1 | 1 Lyga |
| May 5, 2019 | Pakruojis(away) | 5-0 | 1 Lyga |
| Apr 19, 2019 | Hegelmann Litauen(away) | 2-1 | 1 Lyga |
| Apr 14, 2019 | BFA(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2019 | Banga(home) | 1-2 | 1 Lyga |
| May 11, 2019 | Jonava(home) | 0-2 | 1 Lyga |
| May 4, 2019 | Nevėžis(away) | 0-5 | 1 Lyga |
| Apr 20, 2019 | Atmosfera(home) | 1-1 | 1 Lyga |
| Apr 13, 2019 | Pakruojis(home) | 2-2 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 2 Dainava win(s), 0 draw(s), 0 Minija win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2016 | Dainava 7-3 Minija | 1 Lyga |
| Jun 7, 2016 | Minija 1-2 Dainava | 1 Lyga |
How many goals should we expect?
Dainava score 2.6 and concede 0.9 goals per match over their last 15; Minija score 0.9 and concede 4.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.6 | 0.9 | 5 | 9/15 | 12/15 |
| Minija | 0.9 | 4.1 | 1 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Dainava sit 6th in 1 Lyga (36 points from 20 matches) and Minija sit 1st (52 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Minija | 20 | 17 | 1 | 2 | 53 | 11 | 52 |
| 6 | Dainava | 20 | 10 | 6 | 4 | 33 | 19 | 36 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy