Pakruojis vs Atmosfera: result 0-1 and analysis
1 LygaRegular Season - 24Kick-off on September 14, 2019 at 11:00 AM (UTC)Pakruojo miesto stadionas, Pakruojis
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What was the result of Pakruojis vs Atmosfera?
Atmosfera won 0-1 on September 14, 2019.
Goalscorers
- 73′?Atmosfera
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pakruojis have 2 wins, 0 draws and 13 defeats; Atmosfera have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Jonava(away) | 1-7 | 1 Lyga |
| Aug 30, 2019 | Šiauliai(away) | 1-7 | 1 Lyga |
| Aug 25, 2019 | Dainava(away) | 1-9 | 1 Lyga |
| Aug 17, 2019 | Kupiškis(home) | 0-6 | 1 Lyga |
| Aug 10, 2019 | Minija(home) | 0-6 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Žalgiris II(away) | 2-2 | 1 Lyga |
| Aug 23, 2019 | Kupiškis(home) | 0-5 | 1 Lyga |
| Aug 17, 2019 | Minija(home) | 0-7 | 1 Lyga |
| Aug 10, 2019 | Hegelmann Litauen(away) | 2-5 | 1 Lyga |
| Aug 2, 2019 | Džiugas Telšiai(home) | 0-1 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 1 Pakruojis win(s), 0 draw(s), 0 Atmosfera win(s).
| Date | Score | Competition |
|---|---|---|
| May 19, 2019 | Atmosfera 0-2 Pakruojis | 1 Lyga |
Last archived meeting: Atmosfera vs Pakruojis on May 19, 2019
How many goals should we expect?
Pakruojis score 0.9 and concede 4.6 goals per match over their last 15; Atmosfera score 1.0 and concede 4.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pakruojis | 0.9 | 4.6 | 2 | 9/15 | 12/15 |
| Atmosfera | 1.0 | 4.1 | 0 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Atmosfera | 20 | 7 | 5 | 8 | 30 | 25 | 26 |
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