Be1 NFA vs Atmosfera: result 2-0 and analysis
1 LygaRegular Season - 26Kick-off on October 15, 2022 at 10:30 AM (UTC)LFF Kauno treniruočių centras, Kaunas
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What was the result of Be1 NFA vs Atmosfera?
Be1 NFA won 2-0 on October 15, 2022.
Goalscorers
- 40′?Be1 NFA
- 78′?Be1 NFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Be1 NFA have 7 wins, 5 draws and 3 defeats; Atmosfera have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2022 | Neptūną Klaipėda(away) | 1-2 | 1 Lyga |
| Oct 8, 2022 | Babrungas(away) | 1-0 | 1 Lyga |
| Oct 2, 2022 | Trakai II(home) | 1-1 | 1 Lyga |
| Sep 11, 2022 | Minija(home) | 2-1 | 1 Lyga |
| Sep 7, 2022 | FA Šiauliai II(home) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2022 | Garliava(home) | 2-3 | 1 Lyga |
| Sep 30, 2022 | Dainava(away) | 0-5 | 1 Lyga |
| Sep 16, 2022 | Nevėžis(home) | 2-2 | 1 Lyga |
| Sep 8, 2022 | Šilas(away) | 1-2 | 1 Lyga |
| Sep 3, 2022 | Panevėžys II(home) | 1-2 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 1 Be1 NFA win(s), 0 draw(s), 0 Atmosfera win(s).
| Date | Score | Competition |
|---|---|---|
| May 31, 2022 | Atmosfera 0-2 Be1 NFA | 1 Lyga |
How many goals should we expect?
Be1 NFA score 1.3 and concede 0.8 goals per match over their last 15; Atmosfera score 1.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Be1 NFA | 1.3 | 0.8 | 5 | 9/15 | 6/15 |
| Atmosfera | 1.5 | 2.2 | 1 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Be1 NFA sit 4th in 1 Lyga (38 points from 20 matches) and Atmosfera sit 9th (26 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Be1 NFA | 20 | 12 | 2 | 6 | 33 | 24 | 38 |
| 9 | Atmosfera | 20 | 7 | 5 | 8 | 30 | 25 | 26 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy