BFA vs Be1 NFA: result 0-1 and analysis
1 LygaRegular Season - 22Kick-off on September 16, 2023 at 03:00 PM (UTC)BFA Maniežas, Vilnius
Full time
What was the result of BFA vs Be1 NFA?
Be1 NFA won 0-1 on September 16, 2023.
Goalscorers
- 15′?Be1 NFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, BFA have 4 wins, 5 draws and 6 defeats; Be1 NFA have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2023 | Šilas(away) | 0-0 | 1 Lyga |
| Aug 26, 2023 | Babrungas(home) | 1-2 | 1 Lyga |
| Aug 21, 2023 | Kauno Žalgiris II(away) | 0-2 | 1 Lyga |
| Aug 16, 2023 | Kauno Žalgiris(home) | 0-5 | Cup |
| Aug 12, 2023 | Ekranas(away) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2023 | Ekranas(home) | 1-0 | 1 Lyga |
| Aug 28, 2023 | Žalgiris II(away) | 1-0 | 1 Lyga |
| Aug 20, 2023 | Panevėžys II(home) | 3-1 | 1 Lyga |
| Aug 12, 2023 | Garliava(away) | 3-0 | 1 Lyga |
| Aug 5, 2023 | FA Šiauliai II(home) | 2-1 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 BFA win(s), 1 draw(s), 2 Be1 NFA win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2023 | Be1 NFA 2-1 BFA | 1 Lyga |
| Sep 3, 2022 | BFA 1-1 Be1 NFA | 1 Lyga |
| May 1, 2022 | Be1 NFA 3-2 BFA | 1 Lyga |
How many goals should we expect?
BFA score 1.1 and concede 1.4 goals per match over their last 15; Be1 NFA score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BFA | 1.1 | 1.4 | 1 | 9/15 | 6/15 |
| Be1 NFA | 1.6 | 1.3 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
BFA sit 7th in 1 Lyga (35 points from 21 matches) and Be1 NFA sit 4th (38 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Be1 NFA | 20 | 12 | 2 | 6 | 33 | 24 | 38 |
| 7 | BFA | 21 | 11 | 2 | 8 | 31 | 29 | 35 |
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