Pakruojis vs NFA Kaunas: result 0-0 and analysis
1 LygaRegular Season - 18Kick-off on August 25, 2018 at 10:00 AM (UTC)Pakruojo miesto stadionas, Pakruojis
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What was the result of Pakruojis vs NFA Kaunas?
Pakruojis and NFA Kaunas drew 0-0 on August 25, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pakruojis have 10 wins, 0 draws and 5 defeats; NFA Kaunas have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2018 | Džiugas Telšiai(home) | 0-3 | 1 Lyga |
| Aug 11, 2018 | Nevėžis(home) | 0-3 | 1 Lyga |
| Aug 4, 2018 | Utenis Utena(home) | 2-1 | 1 Lyga |
| Jul 29, 2018 | Panevėžys(home) | 2-4 | 1 Lyga |
| Jun 23, 2018 | Žalgiris II(away) | 3-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2018 | Koralas(away) | 1-2 | 1 Lyga |
| Aug 18, 2018 | Kupiškis(away) | 2-0 | 1 Lyga |
| Aug 10, 2018 | Trakai II(away) | 1-3 | 1 Lyga |
| Aug 4, 2018 | Vilniaus Vytis(away) | 1-3 | 1 Lyga |
| Jul 29, 2018 | Banga(home) | 0-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Pakruojis win, 0 draws, 0 NFA Kaunas wins.
| Date | Score | Competition |
|---|---|---|
| Apr 21, 2018 | NFA Kaunas 1-3 Pakruojis | 1 Lyga |
Last archived meeting: NFA Kaunas vs Pakruojis on Apr 21, 2018
How many goals should we expect?
Pakruojis score 1.9 and concede 1.5 goals per match over their last 15; NFA Kaunas score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pakruojis | 1.9 | 1.5 | 3 | 8/15 | 11/15 |
| NFA Kaunas | 1.7 | 2.3 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Pakruojis vs NFA Kaunas?
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