Atmosfera vs Be1 NFA: result 0-2 and analysis
1 LygaRegular Season - 11Kick-off on May 31, 2022 at 04:00 PM (UTC)Mažeikių stadionas dirbtinė danga, Mažeikiai
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What was the result of Atmosfera vs Be1 NFA?
Be1 NFA won 0-2 on May 31, 2022.
Goalscorers
- 56′?Be1 NFA
- 77′?Be1 NFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atmosfera have 3 wins, 4 draws and 8 defeats; Be1 NFA have 5, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2022 | Dainava(home) | 0-3 | 1 Lyga |
| May 21, 2022 | Nevėžis(away) | 0-1 | 1 Lyga |
| May 13, 2022 | Šilas(home) | 1-2 | 1 Lyga |
| May 7, 2022 | Jonava(home) | 0-3 | Cup |
| May 1, 2022 | Panevėžys II(away) | 3-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2022 | Trakai II(away) | 1-1 | 1 Lyga |
| May 22, 2022 | Neptūną Klaipėda(home) | 2-1 | 1 Lyga |
| May 14, 2022 | Minija(away) | 0-0 | 1 Lyga |
| May 8, 2022 | Hegelmann Litauen(home) | 0-3 | Cup |
| May 1, 2022 | BFA(home) | 3-2 | 1 Lyga |
How many goals should we expect?
Atmosfera score 1.7 and concede 2.1 goals per match over their last 15; Be1 NFA score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atmosfera | 1.7 | 2.1 | 2 | 9/15 | 12/15 |
| Be1 NFA | 1.4 | 1.3 | 5 | 5/12 | 5/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Atmosfera sit 9th in 1 Lyga (31 points from 25 matches) and Be1 NFA sit 3rd (51 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Be1 NFA | 25 | 16 | 3 | 6 | 45 | 27 | 51 |
| 9 | Atmosfera | 25 | 8 | 7 | 10 | 37 | 33 | 31 |
A question about Atmosfera vs Be1 NFA?
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