Neptūną Klaipėda vs Kauno Žalgiris II: result 2-0 and analysis
1 LygaRegular Season - 11Kick-off on June 20, 2021 at 03:00 PM (UTC)Klaipėdos m. centrinis stadionas, Klaipėda
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What was the result of Neptūną Klaipėda vs Kauno Žalgiris II?
Neptūną Klaipėda won 2-0 on June 20, 2021.
Goalscorers
- 9′Marius PapšysNeptūną Klaipėda
- 43′?Neptūną Klaipėda
What is the recent form of both teams?
Over their last 12 matches in all competitions, Neptūną Klaipėda have 5 wins, 1 draws and 6 defeats; Kauno Žalgiris II have 4, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2021 | Atmosfera(away) | 4-0 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2021 | Jonava(away) | 1-3 | 1 Lyga |
| Jun 13, 2021 | Sūduva II(home) | 0-3 | 1 Lyga |
| May 27, 2021 | Jonava(away) | 0-1 | 1 Lyga |
| May 16, 2021 | Šiauliai(home) | 0-2 | 1 Lyga |
| May 4, 2021 | Panevėžys II(away) | 1-3 | 1 Lyga |
How many goals should we expect?
Neptūną Klaipėda score 2.2 and concede 2.5 goals per match over their last 12; Kauno Žalgiris II score 1.4 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Neptūną Klaipėda | 2.2 | 2.5 | 3 | 7/12 | 10/12 |
| Kauno Žalgiris II | 1.4 | 2.3 | 1 | 10/15 | 11/15 |
Over the last 12 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 Kauno Žalgiris II sit 15th (13 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Neptūną Klaipėda | 21 | 12 | 2 | 7 | 27 | 26 | 38 |
| 15 | Kauno Žalgiris II | 20 | 4 | 1 | 15 | 15 | 34 | 13 |
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