Pakruojis vs Žalgiris II: result 0-4 and analysis
1 LygaRegular Season - 16Kick-off on July 9, 2017 at 01:00 PM (UTC)Pakruojo miesto stadionas, Pakruojis
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What was the result of Pakruojis vs Žalgiris II?
Žalgiris II won 0-4 on July 9, 2017.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Pakruojis have 8 wins, 3 draws and 3 defeats; Žalgiris II have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2017 | Banga(home) | 2-1 | 1 Lyga |
| Jun 22, 2017 | Utenis II(away) | 3-3 | 1 Lyga |
| Jun 16, 2017 | Trakai II(home) | 1-2 | 1 Lyga |
| Jun 12, 2017 | Stumbras II(home) | 3-1 | 1 Lyga |
| Jun 3, 2017 | Nevėžis(away) | 1-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2017 | Nevėžis(home) | 1-3 | 1 Lyga |
| Jun 27, 2017 | Stumbras II(home) | 1-0 | 1 Lyga |
| Jun 17, 2017 | Šilutė(away) | 1-2 | 1 Lyga |
| Jun 11, 2017 | Dainava(away) | 0-2 | 1 Lyga |
| May 30, 2017 | Panevėžys(home) | 2-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Pakruojis win, 0 draws, 0 Žalgiris II wins.
| Date | Score | Competition |
|---|---|---|
| Mar 25, 2017 | Žalgiris II 0-1 Pakruojis | 1 Lyga |
Last archived meeting: Žalgiris II vs Pakruojis on Mar 25, 2017
How many goals should we expect?
Pakruojis score 1.8 and concede 1.3 goals per match over their last 14; Žalgiris II score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pakruojis | 1.8 | 1.3 | 3 | 9/14 | 10/14 |
| Žalgiris II | 1.2 | 1.7 | 1 | 10/15 | 10/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
A question about Pakruojis vs Žalgiris II?
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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