BFA vs Panevėžys II: result 2-2 and analysis
1 LygaRegular Season - 2Kick-off on March 27, 2022 at 11:00 AM (UTC)BFA Maniežas, Vilnius
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What was the result of BFA vs Panevėžys II?
BFA and Panevėžys II drew 2-2 on March 27, 2022.
Goalscorers
- 10′?Panevėžys II
- 40′?BFA
- 55′?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 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2022 | Šilas(home) | 1-2 | 1 Lyga |
| Oct 24, 2021 | Babrungas(away) | 3-1 | 1 Lyga |
| Oct 16, 2021 | Trakai II(home) | 0-1 | 1 Lyga |
| Oct 2, 2021 | Šilas(home) | 1-4 | 1 Lyga |
| Sep 25, 2021 | Banga II(away) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2022 | Minija(home) | 0-0 | 1 Lyga |
| Oct 24, 2021 | Sūduva II(home) | 1-0 | 1 Lyga |
| Oct 20, 2021 | Babrungas(home) | 1-2 | 1 Lyga |
| Oct 15, 2021 | Jonava(away) | 1-1 | 1 Lyga |
| Sep 30, 2021 | Šiauliai(away) | 2-1 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 BFA win(s), 0 draw(s), 3 Panevėžys II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2021 | BFA 2-4 Panevėžys II | 1 Lyga |
| 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 1.1 and concede 2.3 goals per match over their last 15; Panevėžys II score 2.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BFA | 1.1 | 2.3 | 1 | 7/15 | 10/15 |
| Panevėžys II | 2.1 | 1.6 | 3 | 11/15 | 10/15 |
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