Panevėžys vs Stumbras: result 1-1 and analysis
A LygaRegular Season - 8Kick-off on April 27, 2019 at 10:00 AM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys vs Stumbras?
Panevėžys and Stumbras drew 1-1 on April 27, 2019.
Goalscorers
- 17′N. BoucharebStumbras
- 82′E. VeliulisPanevėžys
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 5 wins, 3 draws and 7 defeats; Stumbras have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2019 | Suduva Marijampole(home) | 1-2 | A Lyga |
| Apr 14, 2019 | Atlantas(away) | 1-2 | A Lyga |
| Apr 7, 2019 | FK Trakai(home) | 1-2 | A Lyga |
| Mar 30, 2019 | Kauno Žalgiris(away) | 0-2 | A Lyga |
| Mar 17, 2019 | Palanga(away) | 1-1 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Palanga(away) | 1-2 | A Lyga |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 0 Panevėžys win(s), 0 draw(s), 1 Stumbras win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 2, 2019 | Stumbras 1-0 Panevėžys | A Lyga |
How many goals should we expect?
Panevėžys score 2.0 and concede 1.4 goals per match over their last 15; Stumbras score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 2.0 | 1.4 | 3 | 9/15 | 9/15 |
| Stumbras | 1.7 | 1.1 | 7 | 5/15 | 8/15 |
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