Pakruojis vs Dainava: result 0-4 and analysis
1 LygaRegular Season - 24Kick-off on October 6, 2018 at 11:00 AM (UTC)Pakruojo miesto stadionas, Pakruojis
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What was the result of Pakruojis vs Dainava?
Dainava won 0-4 on October 6, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pakruojis have 6 wins, 3 draws and 6 defeats; Dainava have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Koralas(away) | 3-0 | 1 Lyga |
| Sep 25, 2018 | Koralas(home) | 3-0 | 1 Lyga |
| Sep 22, 2018 | Banga(away) | 1-3 | 1 Lyga |
| Sep 16, 2018 | Trakai II(home) | 2-2 | 1 Lyga |
| Sep 8, 2018 | Kupiškis(away) | 3-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Utenis Utena(away) | 2-2 | 1 Lyga |
| Sep 25, 2018 | NFA Kaunas(home) | 1-0 | 1 Lyga |
| Sep 21, 2018 | Džiugas Telšiai(away) | 3-0 | 1 Lyga |
| Aug 26, 2018 | Koralas(away) | 3-1 | 1 Lyga |
| Aug 17, 2018 | Žalgiris II(home) | 1-0 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Pakruojis wins, 0 draws, 1 Dainava win.
| Date | Score | Competition |
|---|---|---|
| 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 1.7 and concede 1.9 goals per match over their last 15; Dainava score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pakruojis | 1.7 | 1.9 | 4 | 8/15 | 12/15 |
| Dainava | 1.9 | 1.2 | 5 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Dainava | 26 | 11 | 8 | 7 | 37 | 27 | 41 |
A question about Pakruojis vs Dainava?
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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