Atmosfera vs Banga: result 0-7 and analysis
1 LygaRegular Season - 11Kick-off on June 8, 2019 at 02:00 PM (UTC)Mažeikių stadionas dirbtinė danga, Mažeikiai
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What was the result of Atmosfera vs Banga?
Banga won 0-7 on June 8, 2019.
Goalscorers
- 3′?Banga
- 16′K. GnedojusBanga
- 31′?Banga
- 34′?Banga
- 36′Algimantas BačanskisBanga
- 53′?Banga
- 84′?Banga
What is the recent form of both teams?
Over their last 9 matches in all competitions, Atmosfera have 0 wins, 3 draws and 6 defeats; Banga have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | Pakruojis(home) | 0-2 | 1 Lyga |
| May 15, 2019 | Šiauliai(away) | 2-2 | 1 Lyga |
| May 12, 2019 | Žalgiris II(home) | 1-2 | 1 Lyga |
| May 4, 2019 | Kupiškis(away) | 0-3 | 1 Lyga |
| Apr 20, 2019 | Minija(away) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2019 | BFA(home) | 2-1 | 1 Lyga |
| May 15, 2019 | Minija(away) | 2-1 | 1 Lyga |
| May 11, 2019 | Hegelmann Litauen(home) | 2-0 | 1 Lyga |
| May 4, 2019 | Žalgiris II(home) | 5-2 | 1 Lyga |
| Apr 20, 2019 | Džiugas Telšiai(away) | 1-2 | 1 Lyga |
How many goals should we expect?
Atmosfera score 0.7 and concede 2.4 goals per match over their last 9; Banga score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atmosfera | 0.7 | 2.4 | 0 | 5/9 | 6/9 |
| Banga | 1.9 | 0.7 | 8 | 6/15 | 9/15 |
Over the last 9 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 Atmosfera vs Banga?
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