Panevėžys II vs Sūduva II: result 1-0 and analysis
1 LygaRegular Season - 26Kick-off on October 24, 2021 at 02:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
Full time
What was the result of Panevėžys II vs Sūduva II?
Panevėžys II won 1-0 on October 24, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys II have 8 wins, 3 draws and 4 defeats; Sūduva II have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2021 | Babrungas(home) | 1-2 | 1 Lyga |
| Oct 15, 2021 | Jonava(away) | 1-1 | 1 Lyga |
| Sep 30, 2021 | Šiauliai(away) | 2-1 | 1 Lyga |
| Sep 17, 2021 | Žalgiris II(home) | 1-1 | 1 Lyga |
| Sep 12, 2021 | Minija(home) | 4-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Žalgiris II(home) | 2-1 | 1 Lyga |
| Oct 2, 2021 | Minija(away) | 1-1 | 1 Lyga |
| Sep 24, 2021 | Kauno Žalgiris II(home) | 1-0 | 1 Lyga |
| Sep 18, 2021 | Atmosfera(home) | 1-0 | 1 Lyga |
| Sep 12, 2021 | BFA(away) | 0-1 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 1 Panevėžys II win(s), 0 draw(s), 0 Sūduva II win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2021 | Sūduva II 1-3 Panevėžys II | 1 Lyga |
Last archived meeting: Sūduva II vs Panevėžys II on Jul 3, 2021
How many goals should we expect?
Panevėžys II score 2.1 and concede 1.7 goals per match over their last 15; Sūduva II score 0.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys II | 2.1 | 1.7 | 1 | 12/15 | 11/15 |
| Sūduva II | 0.8 | 1.7 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Panevėžys II | 30 | 6 | 3 | 21 | 30 | 81 | 21 |
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