Atmosfera vs Jonava: result 0-3 and analysis
CupRound of 32Kick-off on May 7, 2022 at 01:00 PM (UTC)Mažeikių stadionas dirbtinė danga, Mažeikiai
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What was the result of Atmosfera vs Jonava?
Jonava won 0-3 on May 7, 2022.
Goalscorers
- 28′T. EliošiusJonava
- 63′J. JorrínJonava
- 66′T. EliošiusJonava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atmosfera have 4 wins, 5 draws and 6 defeats; Jonava have 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Panevėžys II(away) | 3-1 | 1 Lyga |
| Apr 24, 2022 | Ave.Ko(away) | 3-0 | Cup |
| Apr 15, 2022 | Žalgiris II(home) | 1-1 | 1 Lyga |
| Apr 8, 2022 | Banga II(away) | 3-4 | 1 Lyga |
| Apr 2, 2022 | FA Šiauliai II(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2022 | Šiauliai(home) | 0-3 | A Lyga |
| Apr 30, 2022 | Hegelmann Litauen(away) | 0-4 | A Lyga |
| Apr 27, 2022 | FK Zalgiris Vilnius(home) | 0-5 | A Lyga |
| Apr 24, 2022 | Suduva Marijampole(away) | 0-2 | A Lyga |
| Apr 16, 2022 | Džiugas Telšiai(home) | 0-1 | A Lyga |
What does the head-to-head say?
Across the last 5 meetings: 0 Atmosfera win(s), 0 draw(s), 5 Jonava win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2021 | Atmosfera 2-5 Jonava | 1 Lyga |
| May 14, 2021 | Jonava 7-0 Atmosfera | 1 Lyga |
| Aug 2, 2020 | Atmosfera 1-2 Jonava | 1 Lyga |
| Jul 6, 2019 | Jonava 4-2 Atmosfera | 1 Lyga |
| Mar 25, 2019 | Atmosfera 0-3 Jonava | 1 Lyga |
How many goals should we expect?
Atmosfera score 2.2 and concede 2.2 goals per match over their last 15; Jonava score 0.2 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atmosfera | 2.2 | 2.2 | 3 | 10/15 | 11/15 |
| Jonava | 0.2 | 2.9 | 1 | 3/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy