Atlantas vs Panevėžys: result 0-2 and analysis
A LygaRegular Season - 20Kick-off on August 18, 2019 at 02:00 PM (UTC)Klaipėdos m. centrinis stadionas, Klaipėda
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What was the result of Atlantas vs Panevėžys?
Panevėžys won 0-2 on August 18, 2019.
Goalscorers
- 44′Dimitar Ivanov PetkovPanevėžys (o.g.)
- 47′T. EliošiusPanevėžys
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atlantas have 3 wins, 4 draws and 8 defeats; Panevėžys 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 |
|---|---|---|---|
| Aug 10, 2019 | FK Trakai(away) | 1-1 | A Lyga |
| Aug 4, 2019 | FK Zalgiris Vilnius(home) | 1-3 | A Lyga |
| Jul 6, 2019 | Stumbras(away) | 3-0 | A Lyga |
| Jun 29, 2019 | Suduva Marijampole(away) | 1-4 | A Lyga |
| Jun 22, 2019 | Kauno Žalgiris(home) | 1-1 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2019 | Palanga(home) | 3-1 | A Lyga |
| Aug 3, 2019 | Kauno Žalgiris(away) | 2-2 | A Lyga |
| Jul 4, 2019 | Palanga(away) | 2-1 | A Lyga |
| Jun 29, 2019 | FK Zalgiris Vilnius(home) | 0-2 | A Lyga |
| Jun 22, 2019 | Stumbras(away) | 3-0 | A Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Atlantas win(s), 0 draw(s), 1 Panevėžys win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2019 | Panevėžys 4-1 Atlantas | A Lyga |
| Apr 14, 2019 | Atlantas 2-1 Panevėžys | A Lyga |
How many goals should we expect?
Atlantas score 1.1 and concede 1.9 goals per match over their last 15; Panevėžys score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atlantas | 1.1 | 1.9 | 3 | 10/15 | 11/15 |
| Panevėžys | 1.6 | 1.4 | 1 | 13/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Panevėžys | 24 | 6 | 5 | 13 | 21 | 41 | 23 |
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