Sūduva II vs Atmosfera: result 1-0 and analysis
1 LygaRegular Season - 22Kick-off on September 18, 2021 at 12:00 PM (UTC)
Full time
What was the result of Sūduva II vs Atmosfera?
Sūduva II won 1-0 on September 18, 2021.
Goalscorers
- 35′A. DubickasSūduva II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sūduva II have 3 wins, 1 draw and 11 defeats; Atmosfera have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2021 | BFA(away) | 0-1 | 1 Lyga |
| Aug 28, 2021 | Trakai II(away) | 1-4 | 1 Lyga |
| Aug 21, 2021 | Šilas(away) | 1-3 | 1 Lyga |
| Aug 15, 2021 | Banga II(away) | 1-3 | 1 Lyga |
| Aug 8, 2021 | Neptūną Klaipėda(home) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2021 | Jonava(home) | 2-5 | 1 Lyga |
| Aug 28, 2021 | Šiauliai(home) | 4-4 | 1 Lyga |
| Aug 22, 2021 | Panevėžys II(away) | 2-0 | 1 Lyga |
| Aug 13, 2021 | Žalgiris II(home) | 3-3 | 1 Lyga |
| Aug 7, 2021 | Minija(away) | 3-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Sūduva II wins, 0 draws, 1 Atmosfera win.
| Date | Score | Competition |
|---|---|---|
| May 28, 2021 | Atmosfera 2-1 Sūduva II | 1 Lyga |
Last archived meeting: Atmosfera vs Sūduva II on May 28, 2021
How many goals should we expect?
Sūduva II score 1.0 and concede 1.9 goals per match over their last 15; Atmosfera score 1.7 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sūduva II | 1.0 | 1.9 | 3 | 8/15 | 9/15 |
| Atmosfera | 1.7 | 2.5 | 2 | 9/15 | 13/15 |
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 Sūduva II vs Atmosfera?
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