Babrungas vs Panevėžys II: result 3-2 and analysis
1 LygaRegular Season - 10Kick-off on June 13, 2021 at 11:00 AM (UTC)Plungės dirbtinės dangos stadionas, Plungė
Full time
What was the result of Babrungas vs Panevėžys II?
Babrungas won 3-2 on June 13, 2021.
Goalscorers
- 39′?Babrungas
- 48′?Babrungas
- 54′?Panevėžys II
- 81′?Babrungas
- 84′?Panevėžys II
What is the recent form of both teams?
Over their last 12 matches in all competitions, Babrungas have 7 wins, 1 draw and 4 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 29, 2021 | Šilas(away) | 1-5 | 1 Lyga |
| May 22, 2021 | Sveikata(away) | 3-1 | Cup |
| May 15, 2021 | Žalgiris II(home) | 2-3 | 1 Lyga |
| May 9, 2021 | Banga II(home) | 3-0 | 1 Lyga |
| Apr 24, 2021 | Minija(away) | 3-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2021 | Žalgiris II(away) | 0-3 | 1 Lyga |
| 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 |
How many goals should we expect?
Babrungas score 2.3 and concede 1.8 goals per match over their last 12; Panevėžys II score 1.6 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Babrungas | 2.3 | 1.8 | 3 | 9/12 | 10/12 |
| Panevėžys II | 1.6 | 2.3 | 1 | 9/15 | 12/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Babrungas | 29 | 22 | 5 | 2 | 53 | 14 | 71 |
A question about Babrungas vs Panevėžys II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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