Panevėžys II vs Be1 NFA: result 0-2 and analysis
1 LygaRegular Season - 4Kick-off on April 2, 2023 at 11:00 AM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys II vs Be1 NFA?
Be1 NFA won 0-2 on April 2, 2023.
Goalscorers
- 32′?Be1 NFA
- 65′?Be1 NFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys II have 7 wins, 1 draws and 7 defeats; Be1 NFA have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2023 | Šilas(away) | 1-2 | 1 Lyga |
| Mar 17, 2023 | Babrungas(home) | 2-4 | 1 Lyga |
| Mar 11, 2023 | BFA(away) | 1-3 | 1 Lyga |
| Nov 12, 2022 | Ekranas(away) | 0-3 | 1 Lyga |
| Nov 7, 2022 | Be1 NFA(home) | 0-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2023 | Garliava(home) | 1-1 | 1 Lyga |
| Mar 20, 2023 | FA Šiauliai II(away) | 1-2 | 1 Lyga |
| Mar 11, 2023 | Minija(home) | 2-2 | 1 Lyga |
| Feb 25, 2023 | Džiugas Telšiai(home) | 0-3 | Friendlies Clubs |
| Feb 18, 2023 | Kauno Žalgiris(away) | 0-2 | Friendlies Clubs |
What does the head-to-head say?
Across the last 2 meetings: 0 Panevėžys II win(s), 0 draw(s), 2 Be1 NFA win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 7, 2022 | Panevėžys II 0-2 Be1 NFA | 1 Lyga |
| Jul 3, 2022 | Be1 NFA 2-1 Panevėžys II | 1 Lyga |
Last archived meeting: Panevėžys II vs Be1 NFA on Nov 7, 2022
How many goals should we expect?
Panevėžys II score 1.7 and concede 1.9 goals per match over their last 15; Be1 NFA score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys II | 1.7 | 1.9 | 2 | 11/15 | 12/15 |
| Be1 NFA | 1.1 | 1.0 | 6 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Be1 NFA | 20 | 12 | 2 | 6 | 33 | 24 | 38 |
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