Dainava vs Minija: result 7-3 and analysis
1 LygaRegular Season - 27Kick-off on October 1, 2016 at 01:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
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What was the result of Dainava vs Minija?
Dainava won 7-3 on October 1, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 6 wins, 3 draws and 6 defeats; Minija have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Džiugas Telšiai(away) | 0-1 | 1 Lyga |
| Sep 17, 2016 | Lokomotyvas Radviliškis(home) | 1-0 | 1 Lyga |
| Sep 10, 2016 | Šilas(away) | 0-6 | 1 Lyga |
| Sep 3, 2016 | Kražantė(home) | 0-0 | 1 Lyga |
| Aug 27, 2016 | Šilutė(away) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Kaunas(home) | 1-2 | 1 Lyga |
| Sep 18, 2016 | Palanga(away) | 1-11 | 1 Lyga |
| Sep 11, 2016 | Šilutė(away) | 1-3 | 1 Lyga |
| Sep 3, 2016 | Nevėžis(home) | 1-3 | 1 Lyga |
| Aug 27, 2016 | Šilas(away) | 0-8 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 1 Dainava win(s), 0 draw(s), 0 Minija win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 7, 2016 | Minija 1-2 Dainava | 1 Lyga |
How many goals should we expect?
Dainava score 1.1 and concede 1.5 goals per match over their last 15; Minija score 0.9 and concede 3.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 1.1 | 1.5 | 5 | 5/15 | 9/15 |
| Minija | 0.9 | 3.9 | 0 | 10/15 | 14/15 |
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