Garliava vs Neptūną Klaipėda: result 0-2 and analysis
CupRound of 32Kick-off on May 6, 2022 at 04:00 PM (UTC)Garliavos Adomo Mitkaus mokyklos stadionas, Garliava
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What was the result of Garliava vs Neptūną Klaipėda?
Neptūną Klaipėda won 0-2 on May 6, 2022.
Goalscorers
- 5′P. LotužysNeptūną Klaipėda
- 47′P. ZamurenkoNeptūną Klaipėda
Official lineup for Garliava vs Neptūną Klaipėda
The starting elevens fielded at kick-off.
Garliava
- VV. Giedraitis
- RR. Lipnevičius
- EE. Kugys
- LL. Odincovas
- LL. Pangonis
- TT. Rakašius
- RR. Gudelis
- DD. Kontenis
- DD. Liaudanskis
- DD. Račkauskas
- EE. Urbonas
Neptūną Klaipėda
- AA. Raginis
- SS. Rakauskas
- PP. Lotužys
- OO. Dovgyi
- PP. Zamurenko
- AA. Skurdelis
- EE. Matveenko
- GG. Domkus
- EE. Smirnov
- EE. Dusevičius
- EE. Grudys
What is the recent form of both teams?
Over their last 10 matches in all competitions, Garliava have 4 wins, 1 draw and 5 defeats; Neptūną Klaipėda have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2022 | Minija(home) | 2-0 | 1 Lyga |
| Apr 24, 2022 | Nemunas(away) | 4-1 | Cup |
| Apr 16, 2022 | BFA(away) | 0-4 | 1 Lyga |
| Apr 9, 2022 | Ekranas(home) | 1-0 | 1 Lyga |
| Apr 2, 2022 | Be1 NFA(away) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2022 | Dainava(home) | 3-0 | 1 Lyga |
| Apr 26, 2022 | Ateitis(away) | 6-0 | Cup |
| Apr 15, 2022 | Nevėžis(home) | 1-1 | 1 Lyga |
| Apr 8, 2022 | Šilas(home) | 1-1 | 1 Lyga |
| Apr 3, 2022 | Panevėžys II(away) | 2-0 | 1 Lyga |
How many goals should we expect?
Garliava score 1.0 and concede 1.3 goals per match over their last 10; Neptūną Klaipėda score 2.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Garliava | 1.0 | 1.3 | 3 | 3/10 | 4/10 |
| Neptūną Klaipėda | 2.4 | 0.9 | 6 | 7/15 | 9/15 |
Over the last 10 matches in all competitions.
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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