Pakruojis vs Dainava: result 0-5 and analysis
1 LygaRegular Season - 6Kick-off on May 5, 2019 at 12:00 PM (UTC)Pakruojo miesto stadionas, Pakruojis
Full time
What was the result of Pakruojis vs Dainava?
Dainava won 0-5 on May 5, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pakruojis have 4 wins, 5 draws and 6 defeats; Dainava have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2019 | Kupiškis(away) | 3-2 | 1 Lyga |
| Apr 13, 2019 | Minija(away) | 2-2 | 1 Lyga |
| Mar 29, 2019 | Nevėžis(away) | 1-1 | 1 Lyga |
| Mar 23, 2019 | Banga(away) | 0-1 | 1 Lyga |
| Oct 20, 2018 | Žalgiris II(home) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2019 | Hegelmann Litauen(away) | 2-1 | 1 Lyga |
| Apr 14, 2019 | BFA(away) | 1-2 | 1 Lyga |
| Apr 5, 2019 | Vilniaus Vytis(away) | 3-2 | 1 Lyga |
| Mar 31, 2019 | Atmosfera(away) | 1-1 | 1 Lyga |
| Oct 20, 2018 | Kupiškis(home) | 6-0 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 2 Pakruojis win(s), 0 draw(s), 2 Dainava win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2018 | Pakruojis 0-4 Dainava | 1 Lyga |
| Jun 10, 2018 | Dainava 2-3 Pakruojis | 1 Lyga |
| Aug 27, 2017 | Pakruojis 1-0 Dainava | 1 Lyga |
| May 12, 2017 | Dainava 3-0 Pakruojis | 1 Lyga |
How many goals should we expect?
Pakruojis score 1.4 and concede 2.0 goals per match over their last 15; Dainava score 2.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pakruojis | 1.4 | 2.0 | 4 | 7/15 | 11/15 |
| Dainava | 2.4 | 0.9 | 5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Dainava | 20 | 10 | 6 | 4 | 33 | 19 | 36 |
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