Atmosfera vs BFA: result 2-7 and analysis
1 LygaRegular Season - 12Kick-off on June 16, 2019 at 02:00 PM (UTC)Mažeikių stadionas dirbtinė danga, Mažeikiai
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What was the result of Atmosfera vs BFA?
BFA won 2-7 on June 16, 2019.
Goalscorers
- 4′?BFA
- 11′?Atmosfera
- 17′?Atmosfera
- 23′?BFA
- 42′?BFA
- 75′?BFA
- 78′?BFA
- 79′?BFA
- 89′?BFA
What is the recent form of both teams?
Over their last 10 matches in all competitions, Atmosfera have 0 wins, 3 draws and 7 defeats; BFA have 3, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2019 | Banga(home) | 0-7 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2019 | Minija(home) | 5-4 | 1 Lyga |
| Jun 1, 2019 | Banga(away) | 1-2 | 1 Lyga |
| May 19, 2019 | Vilniaus Vytis(home) | 0-0 | 1 Lyga |
| May 15, 2019 | Kupiškis(away) | 1-3 | 1 Lyga |
| May 12, 2019 | Trakai II(home) | 2-1 | 1 Lyga |
How many goals should we expect?
Atmosfera score 0.6 and concede 2.9 goals per match over their last 10; BFA score 1.4 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atmosfera | 0.6 | 2.9 | 0 | 5/10 | 7/10 |
| BFA | 1.4 | 2.1 | 1 | 7/10 | 7/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Atmosfera sit 9th in 1 Lyga (31 points from 25 matches) and BFA sit 7th (43 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | BFA | 26 | 13 | 4 | 9 | 40 | 37 | 43 |
| 9 | Atmosfera | 25 | 8 | 7 | 10 | 37 | 33 | 31 |
A question about Atmosfera vs BFA?
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