Minija vs Dainava: result 1-2 and analysis
1 LygaRegular Season - 12Kick-off on June 7, 2016 at 04:00 PM (UTC)Kretingos dirbtinės dangos aikštė, Kretinga
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What was the result of Minija vs Dainava?
Dainava won 1-2 on June 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; Dainava have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Kaunas(away) | 2-2 | 1 Lyga |
| May 27, 2016 | Palanga(home) | 2-5 | 1 Lyga |
| May 21, 2016 | Šilutė(home) | 0-2 | 1 Lyga |
| May 14, 2016 | Nevėžis(away) | 1-4 | 1 Lyga |
| May 7, 2016 | Šilas(home) | 1-7 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Džiugas Telšiai(home) | 1-0 | 1 Lyga |
| May 28, 2016 | Lokomotyvas Radviliškis(away) | 4-1 | 1 Lyga |
| May 21, 2016 | Šilas(home) | 1-2 | 1 Lyga |
| May 14, 2016 | Kražantė(away) | 3-1 | 1 Lyga |
| May 7, 2016 | Šilutė(home) | 7-0 | 1 Lyga |
How many goals should we expect?
Minija score 0.9 and concede 3.5 goals per match over their last 15; Dainava score 1.7 and concede 1.4.
| 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 |
| Dainava | 1.7 | 1.4 | 4 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Minija sit 1st in 1 Lyga (67 points from 26 matches) and Dainava sit 6th (44 points from 27 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Minija | 26 | 22 | 1 | 3 | 70 | 16 | 67 |
| 6 | Dainava | 27 | 12 | 8 | 7 | 40 | 28 | 44 |
A question about Minija vs Dainava?
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