Žalgiris II vs Panevėžys II: result 3-0 and analysis
1 LygaRegular Season - 9Kick-off on May 29, 2021 at 12:00 PM (UTC)Vilniaus LFF stadionas, Vilnius
Full time
What was the result of Žalgiris II vs Panevėžys II?
Žalgiris II won 3-0 on May 29, 2021.
Goalscorers
- 42′?Žalgiris II
- 59′?Žalgiris II (pen.)
- 63′?Žalgiris II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žalgiris II have 8 wins, 1 draws and 6 defeats; Panevėžys II have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2021 | Banga II(away) | 0-1 | 1 Lyga |
| May 15, 2021 | Babrungas(away) | 3-2 | 1 Lyga |
| May 9, 2021 | Minija(home) | 3-1 | 1 Lyga |
| May 1, 2021 | Šilas(home) | 1-3 | 1 Lyga |
| Apr 26, 2021 | Kauno Žalgiris II(away) | 4-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2021 | Minija(away) | 1-0 | 1 Lyga |
| May 4, 2021 | Kauno Žalgiris II(home) | 3-1 | 1 Lyga |
| Apr 23, 2021 | Atmosfera(away) | 0-3 | 1 Lyga |
| Apr 18, 2021 | BFA(home) | 6-3 | 1 Lyga |
| Apr 14, 2021 | Banga II(away) | 0-2 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 0 Žalgiris II win(s), 0 draw(s), 1 Panevėžys II win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 17, 2020 | Panevėžys II 2-0 Žalgiris II | 1 Lyga |
Last archived meeting: Panevėžys II vs Žalgiris II on Jul 17, 2020
How many goals should we expect?
Žalgiris II score 2.5 and concede 1.8 goals per match over their last 15; Panevėžys II score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgiris II | 2.5 | 1.8 | 2 | 10/15 | 12/15 |
| Panevėžys II | 1.7 | 2.3 | 1 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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