Garliava vs Žalgiris II: result 1-3 and analysis
1 LygaRegular Season - 12Kick-off on June 17, 2022 at 04:00 PM (UTC)Garliavos Adomo Mitkaus mokyklos stadionas, Garliava
Full time
What was the result of Garliava vs Žalgiris II?
Žalgiris II won 1-3 on June 17, 2022.
Goalscorers
- 22′V. PiliukaitisŽalgiris II (pen.)
- 30′M. VareikaŽalgiris II
- 55′M. BurbaŽalgiris II
- 79′?Garliava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Garliava have 4 wins, 2 draws and 9 defeats; Žalgiris II have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2022 | Banga II(away) | 1-1 | 1 Lyga |
| Jun 3, 2022 | Atmosfera(home) | 1-1 | 1 Lyga |
| May 28, 2022 | Babrungas(away) | 0-5 | 1 Lyga |
| May 21, 2022 | Trakai II(home) | 0-1 | 1 Lyga |
| May 13, 2022 | Neptūną Klaipėda(away) | 0-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2022 | Dainava(away) | 2-2 | 1 Lyga |
| Jun 2, 2022 | Nevėžis(away) | 1-7 | 1 Lyga |
| May 28, 2022 | Šilas(home) | 1-0 | 1 Lyga |
| May 23, 2022 | Panevėžys II(away) | 3-0 | 1 Lyga |
| May 16, 2022 | FA Šiauliai II(home) | 1-2 | 1 Lyga |
How many goals should we expect?
Garliava score 0.8 and concede 1.7 goals per match over their last 15; Žalgiris II score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Garliava | 0.8 | 1.7 | 2 | 5/15 | 5/15 |
| Žalgiris II | 1.2 | 1.6 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Garliava sit 11th in 1 Lyga (22 points from 20 matches) and Žalgiris II sit 8th (31 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Žalgiris II | 20 | 9 | 4 | 7 | 31 | 28 | 31 |
| 11 | Garliava | 20 | 6 | 4 | 10 | 23 | 22 | 22 |
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