Banga vs Atmosfera: result 4-0 and analysis
1 LygaRegular Season - 26Kick-off on October 16, 2019 at 04:00 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Atmosfera?
Banga won 4-0 on October 16, 2019.
Goalscorers
- 3′D. ZubauskasBanga
- 35′Karolis UrbaitisBanga
- 43′D. ZubauskasBanga (pen.)
- 74′?Banga
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 7 wins, 3 draws and 5 defeats; Atmosfera have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Jonava(away) | 0-1 | 1 Lyga |
| Oct 4, 2019 | Nevėžis(home) | 2-2 | 1 Lyga |
| Sep 22, 2019 | BFA(away) | 2-2 | 1 Lyga |
| Sep 8, 2019 | Minija(home) | 1-4 | 1 Lyga |
| Aug 31, 2019 | Hegelmann Litauen(away) | 3-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Nevėžis(home) | 1-2 | 1 Lyga |
| Oct 6, 2019 | BFA(away) | 0-3 | 1 Lyga |
| Oct 2, 2019 | Šiauliai(home) | 1-3 | 1 Lyga |
| Sep 14, 2019 | Pakruojis(away) | 1-0 | 1 Lyga |
| Sep 1, 2019 | Žalgiris II(away) | 2-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Banga win, 0 draws, 0 Atmosfera wins.
| Date | Score | Competition |
|---|---|---|
| Jun 8, 2019 | Atmosfera 0-7 Banga | 1 Lyga |
How many goals should we expect?
Banga score 1.6 and concede 1.1 goals per match over their last 15; Atmosfera score 1.0 and concede 3.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 1.6 | 1.1 | 6 | 5/15 | 9/15 |
| Atmosfera | 1.0 | 3.7 | 1 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Atmosfera | 25 | 8 | 7 | 10 | 37 | 33 | 31 |
A question about Banga vs Atmosfera?
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