FA Šiauliai II vs Neptūną Klaipėda: result 0-2 and analysis
1 LygaRegular Season - 12Kick-off on June 19, 2022 at 12:00 PM (UTC)Šiaulių Gytarių stadionas, Šiauliai
Full time
What was the result of FA Šiauliai II vs Neptūną Klaipėda?
Neptūną Klaipėda won 0-2 on June 19, 2022.
Goalscorers
- 35′?Neptūną Klaipėda
- 90′A. RaginisNeptūną Klaipėda
What is the recent form of both teams?
Over their last 9 matches in all competitions, FA Šiauliai II have 6 wins, 0 draws and 3 defeats; Neptūną Klaipėda have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2022 | Šilas(away) | 0-5 | 1 Lyga |
| Jun 3, 2022 | Minija(home) | 2-1 | 1 Lyga |
| May 29, 2022 | Panevėžys II(away) | 5-2 | 1 Lyga |
| May 21, 2022 | BFA(home) | 0-3 | 1 Lyga |
| May 16, 2022 | Žalgiris II(away) | 2-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2022 | Minija(home) | 2-0 | 1 Lyga |
| Jun 4, 2022 | BFA(away) | 0-3 | 1 Lyga |
| May 28, 2022 | Ekranas(home) | 4-3 | 1 Lyga |
| May 22, 2022 | Be1 NFA(away) | 1-2 | 1 Lyga |
| May 18, 2022 | FK Zalgiris Vilnius(home) | 0-1 | Cup |
How many goals should we expect?
FA Šiauliai II score 1.7 and concede 1.9 goals per match over their last 9; Neptūną Klaipėda score 2.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FA Šiauliai II | 1.7 | 1.9 | 1 | 5/9 | 7/9 |
| Neptūną Klaipėda | 2.2 | 0.8 | 8 | 5/15 | 7/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
FA Šiauliai II sit 14th in 1 Lyga (14 points from 21 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 |
| 14 | FA Šiauliai II | 21 | 3 | 5 | 13 | 19 | 45 | 14 |
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