FK Trakai vs Panevėžys: result 1-1 and analysis
A LygaRegular Season - 12Kick-off on May 21, 2019 at 05:00 PM (UTC)FK Žalgiris namų stadionas, Vilnius
Full time
What was the result of FK Trakai vs Panevėžys?
FK Trakai and Panevėžys drew 1-1 on May 21, 2019.
Goalscorers
- 1′P. KrukPanevėžys
- 38′M. GrigaravičiusFK Trakai
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Trakai have 8 wins, 3 draws and 4 defeats; Panevėžys have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | Palanga(away) | 3-1 | A Lyga |
| May 11, 2019 | FK Zalgiris Vilnius(home) | 1-0 | A Lyga |
| May 4, 2019 | Stumbras(away) | 3-0 | A Lyga |
| Apr 27, 2019 | Suduva Marijampole(home) | 1-2 | A Lyga |
| Apr 20, 2019 | Atlantas(home) | 0-0 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | Kauno Žalgiris(home) | 1-1 | A Lyga |
| May 12, 2019 | Palanga(home) | 2-1 | A Lyga |
| May 5, 2019 | FK Zalgiris Vilnius(away) | 1-2 | A Lyga |
| Apr 27, 2019 | Stumbras(home) | 1-1 | A Lyga |
| Apr 19, 2019 | Suduva Marijampole(home) | 1-2 | A Lyga |
What does the head-to-head say?
Across the last 1 meetings: 1 FK Trakai win(s), 0 draw(s), 0 Panevėžys win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 7, 2019 | Panevėžys 1-2 FK Trakai | A Lyga |
Last archived meeting: Panevėžys vs FK Trakai on Apr 7, 2019
How many goals should we expect?
FK Trakai score 1.7 and concede 0.9 goals per match over their last 15; Panevėžys score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Trakai | 1.7 | 0.9 | 6 | 8/15 | 9/15 |
| Panevėžys | 1.3 | 1.5 | 1 | 11/15 | 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