Stumbras vs Palanga: result 0-3 and analysis
A LygaRegular Season - 14Kick-off on June 15, 2019 at 02:00 PM (UTC)Nacionalinės futbolo akademijos stadionas, Kaunas
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What was the result of Stumbras vs Palanga?
Palanga won 0-3 on June 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stumbras have 5 wins, 3 draws and 7 defeats; Palanga have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2019 | FK Zalgiris Vilnius(away) | 1-2 | A Lyga |
| May 22, 2019 | Kauno Žalgiris(away) | 3-4 | A Lyga |
| May 18, 2019 | Suduva Marijampole(away) | 0-2 | A Lyga |
| May 12, 2019 | Atlantas(away) | 0-0 | A Lyga |
| May 4, 2019 | FK Trakai(home) | 0-3 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2019 | Suduva Marijampole(home) | 0-2 | A Lyga |
| May 21, 2019 | Atlantas(away) | 1-2 | A Lyga |
| May 18, 2019 | FK Trakai(home) | 1-3 | A Lyga |
| May 12, 2019 | Panevėžys(away) | 1-2 | A Lyga |
| May 5, 2019 | Kauno Žalgiris(home) | 0-3 | A Lyga |
What does the head-to-head say?
Across the last 6 meetings: 4 Stumbras win(s), 0 draw(s), 2 Palanga win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2019 | Palanga 2-1 Stumbras | A Lyga |
| 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 |
How many goals should we expect?
Stumbras score 0.9 and concede 1.3 goals per match over their last 15; Palanga score 0.9 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stumbras | 0.9 | 1.3 | 6 | 5/15 | 6/15 |
| Palanga | 0.9 | 2.9 | 0 | 11/15 | 12/15 |
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