Be1 NFA vs Neptūną Klaipėda: result 2-1 and analysis
1 LygaRegular Season - 8Kick-off on May 22, 2022 at 10:00 AM (UTC)LFF Kauno treniruočių centras, Kaunas
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What was the result of Be1 NFA vs Neptūną Klaipėda?
Be1 NFA won 2-1 on May 22, 2022.
Goalscorers
- 43′?Be1 NFA
- 45′A. RaginisNeptūną Klaipėda (pen.)
- 71′?Be1 NFA
What is the recent form of both teams?
Over their last 10 matches in all competitions, Be1 NFA have 4 wins, 4 draws and 2 defeats; Neptūną Klaipėda have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2022 | Minija(away) | 0-0 | 1 Lyga |
| May 8, 2022 | Hegelmann Litauen(home) | 0-3 | Cup |
| May 1, 2022 | BFA(home) | 3-2 | 1 Lyga |
| Apr 22, 2022 | Fortūna Kaunas(away) | 6-0 | Cup |
| Apr 16, 2022 | Ekranas(away) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2022 | FK Zalgiris Vilnius(home) | 0-1 | Cup |
| May 13, 2022 | Garliava(home) | 2-0 | 1 Lyga |
| May 6, 2022 | Garliava(away) | 2-0 | Cup |
| Apr 29, 2022 | Dainava(home) | 3-0 | 1 Lyga |
| Apr 26, 2022 | Ateitis(away) | 6-0 | Cup |
How many goals should we expect?
Be1 NFA score 1.4 and concede 1.3 goals per match over their last 10; Neptūną Klaipėda score 2.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Be1 NFA | 1.4 | 1.3 | 5 | 3/10 | 4/10 |
| Neptūną Klaipėda | 2.5 | 0.9 | 7 | 6/15 | 8/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Be1 NFA sit 3rd in 1 Lyga (51 points from 25 matches) and Neptūną Klaipėda sit 5th (44 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Be1 NFA | 25 | 16 | 3 | 6 | 45 | 27 | 51 |
| 5 | Neptūną Klaipėda | 26 | 14 | 2 | 10 | 33 | 31 | 44 |
A question about Be1 NFA vs Neptūną Klaipėda?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy