Atmosfera vs Vilniaus Vytis: result 0-6 and analysis
1 LygaMatchday 29Kick-off on October 20, 2019 at 12:00 PM (UTC)Mažeikių stadionas dirbtinė danga, Mažeikiai
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What was the result of Atmosfera vs Vilniaus Vytis?
Vilniaus Vytis won 0-6 on October 20, 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; Vilniaus Vytis have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2019 | Banga(away) | 0-4 | 1 Lyga |
| Oct 12, 2019 | Nevėžis(home) | 1-2 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2019 | Pakruojis(home) | 15-1 | 1 Lyga |
| Oct 5, 2019 | Jonava(home) | 3-2 | 1 Lyga |
| Sep 27, 2019 | Žalgiris II(home) | 3-0 | 1 Lyga |
| Sep 21, 2019 | Nevėžis(home) | 4-3 | 1 Lyga |
| Sep 14, 2019 | BFA(home) | 3-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Atmosfera wins, 0 draws, 1 Vilniaus Vytis win.
| Date | Score | Competition |
|---|---|---|
| Jun 30, 2019 | Vilniaus Vytis 2-0 Atmosfera | 1 Lyga |
Last archived meeting: Vilniaus Vytis vs Atmosfera on Jun 30, 2019
How many goals should we expect?
Atmosfera score 0.9 and concede 3.5 goals per match over their last 15; Vilniaus Vytis score 3.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atmosfera | 0.9 | 3.5 | 1 | 7/15 | 12/15 |
| Vilniaus Vytis | 3.4 | 0.8 | 7 | 7/15 | 10/15 |
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 | 30 | 11 | 8 | 11 | 49 | 39 | 41 |
A question about Atmosfera vs Vilniaus Vytis?
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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