Atmosfera vs Nevėžis: result 1-2 and analysis
1 LygaRegular Season - 28Kick-off on October 12, 2019 at 12:00 PM (UTC)Mažeikių stadionas dirbtinė danga, Mažeikiai
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What was the result of Atmosfera vs Nevėžis?
Nevėžis won 1-2 on October 12, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atmosfera have 2 wins, 1 draw and 12 defeats; Nevėžis have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | BFA(away) | 0-3 | 1 Lyga |
| Oct 2, 2019 | Šiauliai(home) | 1-3 | 1 Lyga |
| Sep 14, 2019 | Pakruojis(away) | 1-0 | 1 Lyga |
| Sep 1, 2019 | Žalgiris II(away) | 2-2 | 1 Lyga |
| Aug 23, 2019 | Kupiškis(home) | 0-5 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2019 | Banga(away) | 2-2 | 1 Lyga |
| Sep 27, 2019 | Šiauliai(home) | 1-1 | 1 Lyga |
| Sep 21, 2019 | Vilniaus Vytis(away) | 3-4 | 1 Lyga |
| Sep 16, 2019 | Hegelmann Litauen(away) | 2-3 | 1 Lyga |
| Aug 31, 2019 | Džiugas Telšiai(away) | 0-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Atmosfera wins, 0 draws, 1 Nevėžis win.
| Date | Score | Competition |
|---|---|---|
| Jun 22, 2019 | Nevėžis 4-0 Atmosfera | 1 Lyga |
How many goals should we expect?
Atmosfera score 0.9 and concede 4.1 goals per match over their last 15; Nevėžis score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atmosfera | 0.9 | 4.1 | 1 | 7/15 | 12/15 |
| Nevėžis | 2.2 | 1.5 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Atmosfera | 25 | 8 | 7 | 10 | 37 | 33 | 31 |
A question about Atmosfera 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