Trakai II vs Atmosfera: result 1-2 and analysis
1 LygaRegular Season - 30Kick-off on October 27, 2019 at 10:00 AM (UTC)Trakų naujasis stadionas, Trakai
Full time
What was the result of Trakai II vs Atmosfera?
Atmosfera won 1-2 on October 27, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trakai II have 5 wins, 3 draws and 7 defeats; Atmosfera have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Jonava(away) | 2-1 | 1 Lyga |
| Oct 16, 2019 | Šiauliai(away) | 2-2 | 1 Lyga |
| Oct 6, 2019 | Dainava(away) | 1-2 | 1 Lyga |
| Sep 28, 2019 | Pakruojis(away) | 10-1 | 1 Lyga |
| Sep 22, 2019 | Kupiškis(away) | 7-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Vilniaus Vytis(home) | 0-6 | 1 Lyga |
| 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 |
What does the head-to-head say?
In the last meeting: 0 Trakai II wins, 0 draws, 1 Atmosfera win.
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2019 | Atmosfera 3-2 Trakai II | 1 Lyga |
Last archived meeting: Atmosfera vs Trakai II on Jul 3, 2019
How many goals should we expect?
Trakai II score 2.7 and concede 1.8 goals per match over their last 15; Atmosfera score 0.9 and concede 3.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trakai II | 2.7 | 1.8 | 2 | 11/15 | 13/15 |
| Atmosfera | 0.9 | 3.7 | 1 | 7/15 | 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 | 25 | 8 | 7 | 10 | 37 | 33 | 31 |
A question about Trakai II vs Atmosfera?
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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