Palanga vs Stumbras: result 2-1 and analysis
A LygaRegular Season - 7Kick-off on April 20, 2019 at 10:00 AM (UTC)Centrinis miesto stadionas, Palanga
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What was the result of Palanga vs Stumbras?
Palanga won 2-1 on April 20, 2019.
Goalscorers
- 55′I. UmaevPalanga
- 61′T. DombrauskisPalanga
- 69′N. BoucharebStumbras
What is the recent form of both teams?
Over their last 15 matches in all competitions, Palanga have 2 wins, 2 draws and 11 defeats; Stumbras have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2019 | Suduva Marijampole(away) | 0-3 | A Lyga |
| Apr 6, 2019 | Atlantas(home) | 2-1 | A Lyga |
| Apr 2, 2019 | FK Trakai(away) | 1-3 | A Lyga |
| Mar 17, 2019 | Panevėžys(home) | 1-1 | A Lyga |
| Mar 9, 2019 | Kauno Žalgiris(away) | 1-6 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | FK Zalgiris Vilnius(home) | 1-0 | A Lyga |
| Apr 6, 2019 | Kauno Žalgiris(home) | 0-1 | A Lyga |
| Mar 31, 2019 | Suduva Marijampole(home) | 2-0 | A Lyga |
| Mar 16, 2019 | Atlantas(home) | 2-0 | A Lyga |
| Mar 11, 2019 | FK Trakai(away) | 0-0 | A Lyga |
What does the head-to-head say?
Across the last 6 meetings: 1 Palanga win(s), 0 draw(s), 5 Stumbras win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 24, 2018 | Palanga 1-5 Stumbras | A Lyga |
| Jul 3, 2018 | Stumbras 2-0 Palanga | A Lyga |
| May 16, 2018 | Palanga 0-2 Stumbras | A Lyga |
| Apr 11, 2018 | Stumbras 0-1 Palanga | A Lyga |
| Jul 11, 2014 | Palanga 0-6 Stumbras | 1 Lyga |
| May 10, 2014 | Stumbras 4-1 Palanga | 1 Lyga |
How many goals should we expect?
Palanga score 0.7 and concede 2.9 goals per match over their last 15; Stumbras score 1.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Palanga | 0.7 | 2.9 | 1 | 8/15 | 10/15 |
| Stumbras | 1.6 | 0.9 | 8 | 4/15 | 7/15 |
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