Jonava vs Pakruojis: result 7-1 and analysis
1 LygaRegular Season - 23Kick-off on September 8, 2019 at 11:00 AM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Jonava vs Pakruojis?
Jonava won 7-1 on September 8, 2019.
Goalscorers
- 14′?Jonava
- 17′110150Jonava
- 54′?Pakruojis
- 63′Arnas PaškevičiusJonava
- 73′Gytis VasyliusJonava
- 77′110150Jonava
- 87′?Jonava
- 90′?Jonava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jonava have 8 wins, 1 draws and 6 defeats; Pakruojis have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Minija(home) | 4-1 | 1 Lyga |
| Aug 23, 2019 | Šiauliai(away) | 1-3 | 1 Lyga |
| Aug 10, 2019 | Džiugas Telšiai(home) | 1-2 | 1 Lyga |
| Aug 4, 2019 | BFA(home) | 0-3 | 1 Lyga |
| Jul 27, 2019 | Kupiškis(home) | 2-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2019 | Šiauliai(away) | 1-7 | 1 Lyga |
| Aug 25, 2019 | Dainava(away) | 1-9 | 1 Lyga |
| Aug 17, 2019 | Kupiškis(home) | 0-6 | 1 Lyga |
| Aug 10, 2019 | Minija(home) | 0-6 | 1 Lyga |
| Jul 26, 2019 | Nevėžis(home) | 1-9 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 1 Jonava win(s), 0 draw(s), 0 Pakruojis win(s).
| Date | Score | Competition |
|---|---|---|
| May 15, 2019 | Pakruojis 1-2 Jonava | 1 Lyga |
How many goals should we expect?
Jonava score 2.1 and concede 1.9 goals per match over their last 15; Pakruojis score 0.9 and concede 4.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jonava | 2.1 | 1.9 | 4 | 9/15 | 11/15 |
| Pakruojis | 0.9 | 4.2 | 2 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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