Banga vs Jonava: result 6-0 and analysis
1 LygaRegular Season - 13Kick-off on June 22, 2019 at 03:00 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Jonava?
Banga won 6-0 on June 22, 2019.
Goalscorers
- 3′Algimantas BačanskisBanga
- 8′Algimantas BačanskisBanga
- 29′Algimantas BačanskisBanga
- 37′?Banga
- 45′Algimantas BačanskisBanga
- 49′Algimantas BačanskisBanga
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 10 wins, 2 draws and 3 defeats; Jonava have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2019 | Nevėžis(away) | 0-0 | 1 Lyga |
| Jun 8, 2019 | Atmosfera(away) | 7-0 | 1 Lyga |
| Jun 1, 2019 | BFA(home) | 2-1 | 1 Lyga |
| May 15, 2019 | Minija(away) | 2-1 | 1 Lyga |
| May 11, 2019 | Hegelmann Litauen(home) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2019 | Vilniaus Vytis(home) | 1-0 | 1 Lyga |
| Jun 12, 2019 | Dainava(away) | 1-4 | 1 Lyga |
| Jun 1, 2019 | Hegelmann Litauen(home) | 1-1 | 1 Lyga |
| May 20, 2019 | Žalgiris II(home) | 6-0 | 1 Lyga |
| May 15, 2019 | Pakruojis(away) | 2-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Banga win(s), 0 draw(s), 1 Jonava win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 30, 2015 | Banga 2-1 Jonava | 1 Lyga |
| May 16, 2015 | Jonava 3-0 Banga | 1 Lyga |
How many goals should we expect?
Banga score 2.0 and concede 0.7 goals per match over their last 15; Jonava score 1.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 2.0 | 0.7 | 9 | 5/15 | 8/15 |
| Jonava | 1.4 | 1.4 | 7 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Jonava | 21 | 6 | 5 | 10 | 24 | 27 | 23 |
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