Panevėžys vs FK Zalgiris Vilnius: result 0-3 and analysis
A LygaRegular Season - 2Kick-off on March 9, 2019 at 01:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
Full time
What was the result of Panevėžys vs FK Zalgiris Vilnius?
FK Zalgiris Vilnius won 0-3 on March 9, 2019.
Goalscorers
- 18′Víctor PérezFK Zalgiris Vilnius
- 53′T. KišFK Zalgiris Vilnius
- 90′T. KišFK Zalgiris Vilnius
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 10 wins, 3 draws and 2 defeats; FK Zalgiris Vilnius have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2019 | Stumbras(away) | 0-1 | A Lyga |
| Oct 20, 2018 | Nevėžis(away) | 2-1 | 1 Lyga |
| Oct 13, 2018 | Kupiškis(home) | 6-2 | 1 Lyga |
| Oct 7, 2018 | Banga(home) | 2-0 | 1 Lyga |
| Oct 2, 2018 | NFA Kaunas(away) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2019 | Palanga(home) | 5-1 | A Lyga |
| Nov 11, 2018 | Suduva Marijampole(away) | 2-1 | A Lyga |
| Nov 7, 2018 | Kauno Žalgiris(home) | 5-2 | A Lyga |
| Nov 3, 2018 | Atlantas(home) | 0-0 | A Lyga |
| Oct 31, 2018 | Stumbras(home) | 2-0 | A Lyga |
How many goals should we expect?
Panevėžys score 3.3 and concede 0.9 goals per match over their last 15; FK Zalgiris Vilnius score 2.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 3.3 | 0.9 | 5 | 9/15 | 10/15 |
| FK Zalgiris Vilnius | 2.7 | 0.7 | 7 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Panevėžys sit 8th in A Lyga (23 points from 24 matches) and FK Zalgiris Vilnius sit 3rd (37 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | FK Zalgiris Vilnius | 23 | 11 | 4 | 8 | 37 | 27 | 37 |
| 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