Šilas vs Atmosfera: result 4-1 and analysis
1 LygaRegular Season - 25Kick-off on October 16, 2021 at 11:00 AM (UTC)Prienų stadionas, Prienai
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What was the result of Šilas vs Atmosfera?
Šilas won 4-1 on October 16, 2021.
Goalscorers
- 12′?Šilas (o.g.)
- 36′?Šilas
- 51′?Šilas
- 66′?Šilas
- 86′Artis JaudzemsAtmosfera
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 8 wins, 2 draws and 5 defeats; Atmosfera have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | BFA(away) | 4-1 | 1 Lyga |
| Sep 26, 2021 | Trakai II(away) | 0-1 | 1 Lyga |
| Sep 18, 2021 | Babrungas(away) | 2-1 | 1 Lyga |
| Sep 11, 2021 | Banga II(away) | 3-1 | 1 Lyga |
| Aug 28, 2021 | Neptūną Klaipėda(home) | 0-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2021 | Banga II(home) | 3-3 | 1 Lyga |
| Sep 25, 2021 | Neptūną Klaipėda(away) | 3-3 | 1 Lyga |
| Sep 18, 2021 | Sūduva II(away) | 0-1 | 1 Lyga |
| Sep 10, 2021 | Jonava(home) | 2-5 | 1 Lyga |
| Aug 28, 2021 | Šiauliai(home) | 4-4 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Šilas win, 0 draws, 0 Atmosfera wins.
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2021 | Atmosfera 0-1 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 2.0 and concede 1.5 goals per match over their last 15; Atmosfera score 2.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.0 | 1.5 | 4 | 9/15 | 11/15 |
| Atmosfera | 2.0 | 2.3 | 2 | 10/15 | 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 Šilas 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