Stumbras vs Palanga: result 0-3 and analysis
A LygaRegular Season - 26Kick-off on October 5, 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 October 5, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stumbras have 0 wins, 0 draws and 15 defeats; Palanga have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2019 | Suduva Marijampole(home) | 0-3 | A Lyga |
| Sep 21, 2019 | Atlantas(away) | 0-3 | A Lyga |
| Sep 14, 2019 | FK Trakai(home) | 0-3 | A Lyga |
| Sep 1, 2019 | Panevėžys(away) | 0-3 | A Lyga |
| Aug 24, 2019 | Kauno Žalgiris(home) | 0-3 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2019 | Suduva Marijampole(away) | 0-5 | A Lyga |
| Sep 25, 2019 | FK Trakai(home) | 1-3 | A Lyga |
| Sep 14, 2019 | Kauno Žalgiris(home) | 2-3 | A Lyga |
| Aug 31, 2019 | FK Zalgiris Vilnius(home) | 0-4 | A Lyga |
| Aug 25, 2019 | Atlantas(home) | 0-2 | A Lyga |
What does the head-to-head say?
Across the last 6 meetings: 3 Stumbras win(s), 0 draw(s), 3 Palanga win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 11, 2019 | Palanga 3-0 Stumbras | A Lyga |
| Jun 15, 2019 | Stumbras 0-3 Palanga | A Lyga |
| 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 |
How many goals should we expect?
Stumbras score 0.3 and concede 2.9 goals per match over their last 15; Palanga score 1.0 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stumbras | 0.3 | 2.9 | 0 | 2/15 | 14/15 |
| Palanga | 1.0 | 2.5 | 2 | 7/15 | 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