Pakruojis vs Nevėžis: result 1-0 and analysis
1 LygaRegular Season - 25Kick-off on September 16, 2017 at 01:00 PM (UTC)Pakruojo miesto stadionas, Pakruojis
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What was the result of Pakruojis vs Nevėžis?
Pakruojis won 1-0 on September 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pakruojis have 5 wins, 4 draws and 6 defeats; Nevėžis have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Koralas(away) | 1-3 | 1 Lyga |
| Sep 2, 2017 | Šilutė(home) | 2-2 | 1 Lyga |
| Aug 27, 2017 | Dainava(home) | 1-0 | 1 Lyga |
| Aug 19, 2017 | Palanga(away) | 1-3 | 1 Lyga |
| Aug 13, 2017 | Panevėžys(away) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Stumbras II(home) | 1-0 | 1 Lyga |
| Sep 2, 2017 | Trakai II(home) | 2-0 | 1 Lyga |
| Aug 26, 2017 | Koralas(away) | 0-2 | 1 Lyga |
| Aug 19, 2017 | Šilutė(home) | 1-1 | 1 Lyga |
| Aug 11, 2017 | Dainava(away) | 1-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Pakruojis win, 0 draws, 0 Nevėžis wins.
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2017 | Nevėžis 0-1 Pakruojis | 1 Lyga |
How many goals should we expect?
Pakruojis score 1.5 and concede 1.7 goals per match over their last 15; Nevėžis score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pakruojis | 1.5 | 1.7 | 3 | 10/15 | 11/15 |
| Nevėžis | 1.3 | 0.7 | 6 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Nevėžis | 30 | 7 | 5 | 18 | 32 | 58 | 26 |
A question about Pakruojis vs Nevėžis?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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