Atmosfera vs Sūduva II: result 2-1 and analysis
1 LygaRegular Season - 9Kick-off on May 28, 2021 at 04:00 PM (UTC)Mažeikių stadionas dirbtinė danga, Mažeikiai
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What was the result of Atmosfera vs Sūduva II?
Atmosfera won 2-1 on May 28, 2021.
Goalscorers
- 12′Artis JaudzemsAtmosfera
- 53′Artis JaudzemsAtmosfera
- 72′?Sūduva II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atmosfera have 5 wins, 3 draws and 7 defeats; Sūduva II have 1, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2021 | Hegelmann Litauen(home) | 0-3 | Cup |
| May 14, 2021 | Jonava(away) | 0-7 | 1 Lyga |
| May 8, 2021 | Šiauliai(away) | 1-5 | 1 Lyga |
| Apr 23, 2021 | Panevėžys II(home) | 3-0 | 1 Lyga |
| Apr 17, 2021 | Žalgiris II(away) | 0-5 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2021 | BFA(home) | 3-3 | 1 Lyga |
| May 7, 2021 | Trakai II(home) | 1-0 | 1 Lyga |
| Apr 23, 2021 | Šilas(home) | 0-3 | 1 Lyga |
| Apr 18, 2021 | Banga II(home) | 0-2 | 1 Lyga |
| Apr 10, 2021 | Neptūną Klaipėda(away) | 0-2 | 1 Lyga |
How many goals should we expect?
Atmosfera score 1.5 and concede 2.7 goals per match over their last 15; Sūduva II score 0.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atmosfera | 1.5 | 2.7 | 2 | 8/15 | 13/15 |
| Sūduva II | 0.5 | 2.0 | 1 | 1/8 | 3/8 |
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 Sūduva 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