Neptūną Klaipėda vs Žalgiris II: result 1-2 and analysis
1 LygaRegular Season - 13Kick-off on July 3, 2021 at 12:00 PM (UTC)Klaipėdos centrinio stadiono atsarginė aikštė, Klaipėda
Full time
What was the result of Neptūną Klaipėda vs Žalgiris II?
Žalgiris II won 1-2 on July 3, 2021.
Goalscorers
- 13′?Žalgiris II (o.g.)
- 61′G. JarusevičiusŽalgiris II
- 67′?Neptūną Klaipėda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Neptūną Klaipėda have 6 wins, 2 draws and 7 defeats; Žalgiris 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 |
|---|---|---|---|
| Jun 26, 2021 | Minija(away) | 1-2 | 1 Lyga |
| Jun 23, 2021 | Babrungas(home) | 1-1 | Cup |
| Jun 20, 2021 | Kauno Žalgiris II(home) | 2-0 | 1 Lyga |
| Jun 11, 2021 | Atmosfera(away) | 4-0 | 1 Lyga |
| May 29, 2021 | BFA(home) | 0-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2021 | Sūduva II(home) | 3-1 | 1 Lyga |
| Jun 12, 2021 | Šiauliai(away) | 0-5 | 1 Lyga |
| May 29, 2021 | Panevėžys II(home) | 3-0 | 1 Lyga |
| May 21, 2021 | Banga II(away) | 0-1 | 1 Lyga |
| May 15, 2021 | Babrungas(away) | 3-2 | 1 Lyga |
How many goals should we expect?
Neptūną Klaipėda score 2.0 and concede 2.2 goals per match over their last 15; Žalgiris II score 2.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Neptūną Klaipėda | 2.0 | 2.2 | 4 | 9/15 | 11/15 |
| Žalgiris II | 2.7 | 1.8 | 2 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Neptūną Klaipėda sit 5th in 1 Lyga (38 points from 21 matches) and Žalgiris II sit 8th (31 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Neptūną Klaipėda | 21 | 12 | 2 | 7 | 27 | 26 | 38 |
| 8 | Žalgiris II | 20 | 9 | 4 | 7 | 31 | 28 | 31 |
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