Panevėžys II vs Babrungas: result 1-2 and analysis
1 LygaRegular Season - 23Kick-off on October 20, 2021 at 01:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
Full time
What was the result of Panevėžys II vs Babrungas?
Babrungas won 1-2 on October 20, 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; Babrungas have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 27, 2021 | Kauno Žalgiris II(away) | 2-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Šiauliai(away) | 2-2 | 1 Lyga |
| Oct 2, 2021 | Trakai II(away) | 0-2 | 1 Lyga |
| Sep 28, 2021 | Panevėžys(home) | 1-3 | Cup |
| Sep 18, 2021 | Šilas(home) | 1-2 | 1 Lyga |
| Sep 11, 2021 | Žalgiris II(away) | 3-3 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 0 Panevėžys II win(s), 0 draw(s), 1 Babrungas win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 13, 2021 | Babrungas 3-2 Panevėžys II | 1 Lyga |
Last archived meeting: Babrungas vs Panevėžys II on Jun 13, 2021
How many goals should we expect?
Panevėžys II score 2.2 and concede 1.8 goals per match over their last 15; Babrungas score 1.3 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys II | 2.2 | 1.8 | 1 | 12/15 | 11/15 |
| Babrungas | 1.3 | 2.2 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Babrungas | 21 | 16 | 4 | 1 | 37 | 7 | 52 |
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