Banga vs Dainava: result 2-1 and analysis
1 LygaRegular Season - 9Kick-off on May 31, 2017 at 04:00 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Dainava?
Banga won 2-1 on May 31, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 7 wins, 1 draws and 7 defeats; Dainava have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2017 | Palanga(away) | 0-1 | 1 Lyga |
| May 14, 2017 | Panevėžys(away) | 1-0 | 1 Lyga |
| May 5, 2017 | Tauras(home) | 3-2 | 1 Lyga |
| Apr 23, 2017 | Džiugas Telšiai(away) | 1-1 | 1 Lyga |
| Apr 14, 2017 | Vilniaus Vytis(home) | 0-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | Utenis II(away) | 11-2 | 1 Lyga |
| May 12, 2017 | Pakruojis(home) | 3-0 | 1 Lyga |
| May 5, 2017 | Stumbras II(home) | 1-3 | 1 Lyga |
| Apr 21, 2017 | Nevėžis(away) | 2-2 | 1 Lyga |
| Apr 15, 2017 | Koralas(away) | 1-0 | 1 Lyga |
What does the head-to-head say?
Across the last 6 meetings: 2 Banga win(s), 3 draw(s), 1 Dainava win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2016 | Dainava 0-0 Banga | 1 Lyga |
| Mar 25, 2016 | Banga 1-1 Dainava | 1 Lyga |
| Oct 31, 2014 | Dainava 0-0 Banga | A Lyga |
| Aug 24, 2014 | Banga 3-1 Dainava | A Lyga |
| May 27, 2014 | Dainava 2-0 Banga | A Lyga |
| Apr 6, 2014 | Banga 6-0 Dainava | A Lyga |
How many goals should we expect?
Banga score 0.9 and concede 1.2 goals per match over their last 15; Dainava score 2.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 0.9 | 1.2 | 6 | 4/15 | 4/15 |
| Dainava | 2.6 | 1.9 | 3 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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