Babrungas vs Neptūną Klaipėda: result 5-1 and analysis
1 LygaRegular Season - 5Kick-off on April 17, 2021 at 11:00 AM (UTC)Plungės dirbtinės dangos stadionas, Plungė
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What was the result of Babrungas vs Neptūną Klaipėda?
Babrungas won 5-1 on April 17, 2021.
Goalscorers
- 7′?Babrungas
- 21′?Babrungas
- 41′?Babrungas
- 45′?Babrungas
- 85′?Babrungas
- 90′Marius PapšysNeptūną Klaipėda (pen.)
What is the recent form of both teams?
Over their last 6 matches in all competitions, Babrungas have 3 wins, 1 draws and 2 defeats; Neptūną Klaipėda have 2, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2021 | Kauno Žalgiris II(away) | 2-0 | 1 Lyga |
| Apr 3, 2021 | Sūduva II(home) | 1-0 | 1 Lyga |
| Mar 27, 2021 | Atmosfera(home) | 2-2 | 1 Lyga |
| Mar 20, 2021 | Jonava(away) | 2-3 | 1 Lyga |
| Jul 7, 2020 | Hegelmann Litauen(home) | 1-4 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2021 | Sūduva II(home) | 2-0 | 1 Lyga |
| Apr 3, 2021 | Jonava(away) | 1-5 | 1 Lyga |
| Mar 27, 2021 | Šiauliai(home) | 0-3 | 1 Lyga |
| Mar 21, 2021 | Panevėžys II(away) | 5-0 | 1 Lyga |
| Jun 18, 2020 | Šilas(away) | 1-5 | Cup |
How many goals should we expect?
Babrungas score 1.7 and concede 1.7 goals per match over their last 6; Neptūną Klaipėda score 1.8 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Babrungas | 1.7 | 1.7 | 2 | 4/6 | 4/6 |
| Neptūną Klaipėda | 1.8 | 2.6 | 2 | 2/5 | 4/5 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Babrungas sit 2nd in 1 Lyga (52 points from 21 matches) and Neptūną Klaipėda sit 5th (38 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Babrungas | 21 | 16 | 4 | 1 | 37 | 7 | 52 |
| 5 | Neptūną Klaipėda | 21 | 12 | 2 | 7 | 27 | 26 | 38 |
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