BFA vs Panevėžys II: result 2-4 and analysis
1 LygaRegular Season - 18Kick-off on August 14, 2021 at 12:00 PM (UTC)BFA Maniežas, Vilnius
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What was the result of BFA vs Panevėžys II?
Panevėžys II won 2-4 on August 14, 2021.
Goalscorers
- 44′E. JankauskasPanevėžys II
- 53′?Panevėžys II
- 57′?BFA
- 79′?Panevėžys II
- 90′?Panevėžys II
- 90′?BFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, BFA have 4 wins, 1 draws and 10 defeats; Panevėžys II have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2021 | Žalgiris II(away) | 0-1 | 1 Lyga |
| Aug 3, 2021 | Minija(away) | 0-3 | 1 Lyga |
| Jul 29, 2021 | Kauno Žalgiris II(away) | 0-2 | 1 Lyga |
| Jul 6, 2021 | Atmosfera(away) | 3-1 | 1 Lyga |
| Jul 3, 2021 | Babrungas(home) | 4-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2021 | Trakai II(home) | 4-2 | 1 Lyga |
| Aug 4, 2021 | Šilas(away) | 3-1 | 1 Lyga |
| Jul 31, 2021 | Banga II(home) | 1-6 | 1 Lyga |
| Jul 6, 2021 | Neptūną Klaipėda(away) | 4-3 | 1 Lyga |
| Jul 3, 2021 | Sūduva II(away) | 3-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 BFA win(s), 0 draw(s), 2 Panevėžys II win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 18, 2021 | Panevėžys II 6-3 BFA | 1 Lyga |
| Aug 15, 2020 | Panevėžys II 6-0 BFA | 1 Lyga |
How many goals should we expect?
BFA score 1.4 and concede 2.8 goals per match over their last 15; Panevėžys II score 2.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BFA | 1.4 | 2.8 | 2 | 5/15 | 10/15 |
| Panevėžys II | 2.1 | 2.1 | 1 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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