BFA vs Panevėžys II: result 3-1 and analysis
1 LygaRegular Season - 1Kick-off on March 11, 2023 at 11:00 AM (UTC)BFA Maniežas, Vilnius
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What was the result of BFA vs Panevėžys II?
BFA won 3-1 on March 11, 2023.
Goalscorers
- 31′?BFA
- 58′?BFA
- 69′?BFA
- 78′?Panevėžys II (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, BFA have 4 wins, 4 draws and 7 defeats; Panevėžys II have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 21, 2023 | Dainava(home) | 1-1 | Friendlies Clubs |
| Jan 14, 2023 | Hegelmann Litauen(home) | 1-2 | Friendlies Clubs |
| Nov 12, 2022 | Žalgiris II(away) | 1-1 | 1 Lyga |
| Nov 9, 2022 | Babrungas(away) | 1-2 | 1 Lyga |
| Nov 5, 2022 | Banga II(away) | 1-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | Ekranas(away) | 0-3 | 1 Lyga |
| Nov 7, 2022 | Be1 NFA(home) | 0-2 | 1 Lyga |
| Oct 28, 2022 | Garliava(away) | 2-0 | 1 Lyga |
| Oct 22, 2022 | Dainava(home) | 1-3 | 1 Lyga |
| Oct 14, 2022 | Nevėžis(away) | 2-1 | 1 Lyga |
What does the head-to-head say?
Across the last 5 meetings: 0 BFA win(s), 1 draw(s), 4 Panevėžys II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2022 | Panevėžys II 3-2 BFA | 1 Lyga |
| Mar 27, 2022 | BFA 2-2 Panevėžys II | 1 Lyga |
| 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 1.7 and concede 1.7 goals per match over their last 15; Panevėžys II score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BFA | 1.7 | 1.7 | 1 | 13/15 | 10/15 |
| Panevėžys II | 1.9 | 1.6 | 2 | 11/15 | 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