Be1 NFA vs BFA: result 2-1 and analysis
1 LygaRegular Season - 7Kick-off on April 20, 2023 at 03:30 PM (UTC)LFF Kauno treniruočių centras, Kaunas
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What was the result of Be1 NFA vs BFA?
Be1 NFA won 2-1 on April 20, 2023.
Goalscorers
- 6′D. VinckusBe1 NFA
- 62′?Be1 NFA
- 65′?BFA (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Be1 NFA have 6 wins, 4 draws and 5 defeats; BFA have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2023 | Ekranas(away) | 1-2 | 1 Lyga |
| Apr 10, 2023 | Žalgiris II(home) | 3-0 | 1 Lyga |
| Apr 2, 2023 | Panevėžys II(away) | 2-0 | 1 Lyga |
| Mar 26, 2023 | Garliava(home) | 1-1 | 1 Lyga |
| Mar 20, 2023 | FA Šiauliai II(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2023 | Šilas(home) | 0-2 | 1 Lyga |
| Apr 7, 2023 | Babrungas(away) | 1-4 | 1 Lyga |
| Apr 1, 2023 | Kauno Žalgiris II(home) | 1-0 | 1 Lyga |
| Mar 26, 2023 | Ekranas(home) | 2-1 | 1 Lyga |
| Mar 18, 2023 | Žalgiris II(home) | 0-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Be1 NFA win(s), 1 draw(s), 0 BFA win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
Be1 NFA score 1.2 and concede 1.0 goals per match over their last 15; BFA score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Be1 NFA | 1.2 | 1.0 | 7 | 6/15 | 6/15 |
| BFA | 1.2 | 1.6 | 2 | 11/15 | 9/15 |
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 BFA sit 7th (35 points from 21 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