Atmosfera vs Neptūną Klaipėda: result 0-4 and analysis
1 LygaRegular Season - 10Kick-off on June 11, 2021 at 04:00 PM (UTC)Mažeikių stadionas dirbtinė danga, Mažeikiai
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What was the result of Atmosfera vs Neptūną Klaipėda?
Neptūną Klaipėda won 0-4 on June 11, 2021.
Goalscorers
- 44′?Neptūną Klaipėda
- 63′?Neptūną Klaipėda
- 86′?Neptūną Klaipėda
- 90′A. SkurdelisNeptūną Klaipėda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atmosfera have 6 wins, 3 draws and 6 defeats; Neptūną Klaipėda have 4, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2021 | Sūduva II(home) | 2-1 | 1 Lyga |
| May 22, 2021 | Hegelmann Litauen(home) | 0-3 | Cup |
| May 14, 2021 | Jonava(away) | 0-7 | 1 Lyga |
| May 8, 2021 | Šiauliai(away) | 1-5 | 1 Lyga |
| Apr 23, 2021 | Panevėžys II(home) | 3-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2021 | BFA(home) | 0-3 | 1 Lyga |
| May 23, 2021 | Ekranas(away) | 5-2 | Cup |
| May 15, 2021 | Trakai II(away) | 4-3 | 1 Lyga |
| May 8, 2021 | Šilas(home) | 1-1 | 1 Lyga |
| Apr 25, 2021 | Banga II(away) | 2-3 | 1 Lyga |
How many goals should we expect?
Atmosfera score 1.7 and concede 2.5 goals per match over their last 15; Neptūną Klaipėda score 2.0 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atmosfera | 1.7 | 2.5 | 2 | 9/15 | 13/15 |
| Neptūną Klaipėda | 2.0 | 2.7 | 2 | 7/11 | 9/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Atmosfera sit 9th in 1 Lyga (26 points from 20 matches) and Neptūną Klaipėda sit 5th (38 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Neptūną Klaipėda | 21 | 12 | 2 | 7 | 27 | 26 | 38 |
| 9 | Atmosfera | 20 | 7 | 5 | 8 | 30 | 25 | 26 |
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