FK Zalgiris Vilnius vs Stumbras: result 4-1 and analysis
A LygaRegular Season - 5Kick-off on May 19, 2015 at 03:00 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of FK Zalgiris Vilnius vs Stumbras?
FK Zalgiris Vilnius won 4-1 on May 19, 2015.
Goalscorers
- 20′M. KuklysFK Zalgiris Vilnius
- 26′Y. KendyshFK Zalgiris Vilnius
- 39′K. AndreouFK Zalgiris Vilnius
- 60′A. RimkevičiusStumbras
- 65′A. ŠvrljugaFK Zalgiris Vilnius
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Zalgiris Vilnius have 14 wins, 0 draws and 1 defeat; Stumbras have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2015 | Kauno Žalgiris(home) | 4-0 | A Lyga |
| May 11, 2015 | Šiauliai(away) | 6-1 | A Lyga |
| May 1, 2015 | Granitas Klaipėda(home) | 6-0 | A Lyga |
| Apr 26, 2015 | Utenis Utena(away) | 2-0 | A Lyga |
| Apr 18, 2015 | FK Trakai(away) | 1-2 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2015 | FK Trakai(home) | 2-3 | A Lyga |
| May 10, 2015 | Kauno Žalgiris(home) | 2-4 | A Lyga |
| May 3, 2015 | Suduva Marijampole(away) | 1-1 | A Lyga |
| Apr 24, 2015 | Šiauliai(away) | 1-1 | A Lyga |
| Apr 19, 2015 | Kruoja(home) | 2-0 | A Lyga |
How many goals should we expect?
FK Zalgiris Vilnius score 2.9 and concede 0.4 goals per match over their last 15; Stumbras score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Zalgiris Vilnius | 2.9 | 0.4 | 11 | 4/15 | 7/15 |
| Stumbras | 1.7 | 1.5 | 2 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | FK Zalgiris Vilnius | 30 | 15 | 5 | 10 | 49 | 35 | 50 |
A question about FK Zalgiris Vilnius vs Stumbras?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy