Atmosfera vs Žalgiris II: result 1-2 and analysis
1 LygaRegular Season - 7Kick-off on May 12, 2019 at 01:00 PM (UTC)Mažeikių stadionas dirbtinė danga, Mažeikiai
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What was the result of Atmosfera vs Žalgiris II?
Žalgiris II won 1-2 on May 12, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Atmosfera have 0 wins, 2 draws and 4 defeats; Žalgiris II 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 |
|---|---|---|---|
| May 4, 2019 | Kupiškis(away) | 0-3 | 1 Lyga |
| Apr 20, 2019 | Minija(away) | 1-1 | 1 Lyga |
| Apr 13, 2019 | Hegelmann Litauen(home) | 1-2 | 1 Lyga |
| Apr 6, 2019 | Džiugas Telšiai(away) | 0-6 | 1 Lyga |
| Mar 31, 2019 | Dainava(home) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2019 | Nevėžis(home) | 2-7 | 1 Lyga |
| May 4, 2019 | Banga(away) | 2-5 | 1 Lyga |
| Apr 20, 2019 | Šiauliai(away) | 0-4 | 1 Lyga |
| Apr 14, 2019 | Kupiškis(home) | 1-1 | 1 Lyga |
| Apr 6, 2019 | Minija(home) | 0-1 | 1 Lyga |
How many goals should we expect?
Atmosfera score 0.5 and concede 2.7 goals per match over their last 6; Žalgiris II score 1.1 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atmosfera | 0.5 | 2.7 | 0 | 3/6 | 4/6 |
| Žalgiris II | 1.1 | 2.7 | 1 | 8/15 | 10/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Atmosfera sit 9th in 1 Lyga (31 points from 25 matches) and Žalgiris II sit 4th (46 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
| 9 | Atmosfera | 25 | 8 | 7 | 10 | 37 | 33 | 31 |
A question about Atmosfera vs Žalgiris II?
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