Panevėžys II vs BFA: result 6-3 and analysis
1 LygaRegular Season - 5Kick-off on April 18, 2021 at 02:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys II vs BFA?
Panevėžys II won 6-3 on April 18, 2021.
Goalscorers
- 3′?BFA
- 29′?BFA
- 42′?Panevėžys II
- 45′?Panevėžys II
- 53′?Panevėžys II (pen.)
- 57′?Panevėžys II
- 70′?Panevėžys II
- 76′?Panevėžys II
- 88′?BFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys II have 5 wins, 1 draws and 9 defeats; BFA have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2021 | Banga II(away) | 0-2 | 1 Lyga |
| Apr 10, 2021 | Trakai II(away) | 3-1 | 1 Lyga |
| Apr 5, 2021 | Šilas(home) | 3-1 | 1 Lyga |
| Mar 21, 2021 | Neptūną Klaipėda(home) | 0-5 | 1 Lyga |
| Oct 31, 2020 | Vilniaus Vytis(home) | 3-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2021 | Žalgiris II(home) | 4-8 | 1 Lyga |
| Apr 3, 2021 | Minija(home) | 0-1 | 1 Lyga |
| Mar 30, 2021 | Kauno Žalgiris II(home) | 4-2 | 1 Lyga |
| Mar 20, 2021 | Atmosfera(home) | 0-2 | 1 Lyga |
| Oct 25, 2020 | Atmosfera(away) | 3-2 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 1 Panevėžys II win(s), 0 draw(s), 0 BFA win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2020 | Panevėžys II 6-0 BFA | 1 Lyga |
How many goals should we expect?
Panevėžys II score 1.9 and concede 2.3 goals per match over their last 15; BFA score 1.3 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys II | 1.9 | 2.3 | 2 | 9/15 | 13/15 |
| BFA | 1.3 | 2.7 | 1 | 8/15 | 11/15 |
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