Banga vs Minija: result 7-0 and analysis
1 LygaRegular Season - 4Kick-off on April 15, 2016 at 04:30 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Minija?
Banga won 7-0 on April 15, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 12 wins, 1 draw and 2 defeats; Minija have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2016 | Lokomotyvas Radviliškis(home) | 1-2 | 1 Lyga |
| Apr 2, 2016 | Kražantė(away) | 2-0 | 1 Lyga |
| Mar 25, 2016 | Dainava(home) | 1-1 | 1 Lyga |
| Oct 31, 2015 | Trakai II(home) | 2-1 | 1 Lyga |
| Oct 25, 2015 | MRU(away) | 1-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Trakai II(away) | 1-0 | 1 Lyga |
| Apr 2, 2016 | Panevėžys(away) | 0-2 | 1 Lyga |
| Mar 25, 2016 | Hegelmann Litauen(away) | 2-3 | 1 Lyga |
| Oct 31, 2015 | Šilas(away) | 0-4 | 1 Lyga |
| Oct 24, 2015 | Tauras(home) | 2-4 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Banga win, 0 draws, 1 Minija win.
| Date | Score | Competition |
|---|---|---|
| Aug 11, 2015 | Banga 4-0 Minija | 1 Lyga |
| Apr 25, 2015 | Minija 1-0 Banga | 1 Lyga |
How many goals should we expect?
Banga score 2.5 and concede 0.6 goals per match over their last 15; Minija score 0.9 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 2.5 | 0.6 | 8 | 6/15 | 8/15 |
| Minija | 0.9 | 2.8 | 1 | 8/15 | 9/15 |
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 | 26 | 22 | 1 | 3 | 70 | 16 | 67 |
A question about Banga vs Minija?
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