Banga II vs Dainava: result 0-4 and analysis
1 LygaRegular Season - 25Kick-off on October 8, 2022 at 12:00 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga II vs Dainava?
Dainava won 0-4 on October 8, 2022.
Goalscorers
- 40′?Dainava
- 66′?Dainava (o.g.)
- 68′?Dainava
- 79′?Dainava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga II have 2 wins, 1 draw and 12 defeats; Dainava have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2022 | Nevėžis(away) | 0-1 | 1 Lyga |
| Sep 16, 2022 | Šilas(home) | 2-3 | 1 Lyga |
| Sep 12, 2022 | Panevėžys II(away) | 2-4 | 1 Lyga |
| Sep 2, 2022 | Žalgiris II(home) | 1-4 | 1 Lyga |
| Aug 29, 2022 | FA Šiauliai II(away) | 3-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2022 | Atmosfera(home) | 5-0 | 1 Lyga |
| Sep 17, 2022 | Babrungas(away) | 1-2 | 1 Lyga |
| Sep 9, 2022 | Trakai II(away) | 1-3 | 1 Lyga |
| Sep 2, 2022 | Neptūną Klaipėda(home) | 3-1 | 1 Lyga |
| Aug 28, 2022 | Minija(home) | 5-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Banga II wins, 0 draws, 1 Dainava win.
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2022 | Dainava 3-0 Banga II | 1 Lyga |
How many goals should we expect?
Banga II score 0.9 and concede 2.6 goals per match over their last 15; Dainava score 2.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga II | 0.9 | 2.6 | 0 | 9/15 | 11/15 |
| Dainava | 2.6 | 1.0 | 5 | 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 | 29 | 13 | 8 | 8 | 44 | 29 | 47 |
A question about Banga II 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